What Are Devtorium AI Software Development Services?

Innovation is our everything, and AI software development services offered by Devtorium reflect that. We aim to ensure that our clients have access to cutting-edge technology. Together with you, we can create tech solutions that will give your business a competitive advantage even in this age of hi-tech races. Our software engineers, who specialize in artificial intelligence solution development, can use a variety of AI tools to ensure your business stays ahead.

In this post we’ll explain exactly what kind of AI solution development services Devtorium offers. Moreover, we’ll give you concrete examples of how these technologies can be implemented to give any business a boost.

Devtorium AI Software Development Services: Technologies We Use

Artificial Intelligence technologies used today can be roughly divided into three groups:

  • AI/Deep Learning/Machine Learning
  • Reinforcement Learning
  • Generative Networks

It’s vital to understand that when creating AI software solutions, developers usually have to use all these technologies. The solution architect working on your project will analyze the requirements and suggest a combination of technologies to fit your needs best. AI software is highly complex and usually takes both software developers and data scientists to create.

Data Science services are an integral part of any AI software development. Artificial intelligence literally runs on data. Therefore, working with different types of databases and optimizing these processes, for example, through vector embeddings, is crucial for producing solutions that can learn and improve as they evolve. Devtorium AI software development services create self-educating systems that will grow with your business and adapt to its changing needs.

How AI software development services can be implemented in real life.

AI Software Development Technologies: Areas of Implementation

Computer vision

  • Object Detection
  • Segmentation
  • OCR (Optical Character Recognition)
  • Human Pose Detection
  • Face Detection

Computer vision is one of the AI software development services we encounter daily. It’s combined with other types of AI tech to produce solutions that surround us everywhere, for example:

  • Auto-pilots for vehicles
  • Security systems (FaceID, fingertip scanners, building security footage analysis, etc.)
  • AR applications used for eCommerce and gaming
  • Scanning and transcribing text via a photo (try this feature in GoogleTranslate)
  • Advanced search through images, videos, and large documents

Large Language Models (LLM)

  • Text generation
  • Searching
  • Analytics
  • Summarising

The most well-known example of an LLM is ChatGPT. Pretty much everyone who is even a little tech-savvy today used this platform at least once. Its most popular features are text generative and writing code. However, it can do much more than that. For example, an LLM can create text summaries, descriptions of images, and different versions of the same content. It can ‘give advice’. However, the system is pretty straightforward in the sense that its advice is content generated based on your inquiry.

Note that these AI solutions can process literary texts, code, and any other kind of textual data. A part of Devtorium AI software development services is creating and ‘training’ LLMs to automatically deliver the type of service you need.

Role of data science in AI software development services.

Big Data

  • Statistic/Data Analytics
  • Data Transformation

Our world is data, and AI-powered data science solutions can make it work for you in every way possible. Devtorium’s team of data scientists is experienced in creating solutions that can extract and process data from various sources. Some of their projects included:

  • Deriving relevant information from digital reports and massive databases. Then, processing this data and visualizing multiple reports for eCommerce businesses to help the client make educated decisions.
  • Processing data from multiple sources and creating a predictive analytics model to forecast trends and market changes.
  • Transform data from one format to another for future processing and analysis. For example, one of our projects included collating handwritten notes from medical specialists, adding medical records data, prescriptions, and medical test results. The data was transformed, processed, and analyzed to provide necessary insights for an AI-powered healthcare solution.
  • Another project Devtorium completed entailed collecting data from fitness trackers, medical records, prescriptions, notes, and trainer comments as a part of an interactive athletes’ training tracking app.

Robotics & Automation Engineering

Implementation of robotics technologies at manufacturing lines is nothing new today. However, recent advancements in artificial intelligence solutions take this type of service to the next level. As a part of Devtorium AI software development services, our engineers can do much more than simply program the machines to do specific actions automatically.

We are now able to ‘teach’ robots the basics of behavior and program them to learn. As a result, you get automation that improves with every iteration. So, instead of a mindless drone, you get a helper that can increase overall business productivity and significantly reduce the risk of errors.

Bottom Line: Should You Invest in AI Software Development Services?

Answering the question of whether your business needs an AI-powered solution is easy. Just decide for yourself if you want your business to stay competitive on the market. Today implementing AI in various business processes is not about getting head through groundbreaking innovation. Already this technology is becoming so popular and widespread that not using it is sure to put you hopelessly behind.

If you want to not only retain a competitive edge but actually move forward, taking over a bigger portion of the market, contact us today. Devtorium’s team of AI software engineers will work with you to develop a strategy that can help your company succeed.

How Vector Databases Can Enhance Custom AI Solutions

Enhancing your workflow with custom AI solutions is the biggest tech trend today. However, as it’s still a relatively new technology, we face some challenges in handling large amounts of data. Vector databases can solve many of these issues and enable AI to process data faster and more accurately. Today, Devtorium AI specialists will share their knowledge of how vector embeddings and databases work and the best options available now.

What are vector databases and how they work with custom AI solutions.

Why Custom AI Solutions Need Vector Databases

First of all, we need to understand what exactly vector databases are and how custom AI solutions use them. These databases are designed to provide various AI models, for example, conversational AI, with a more efficient way to use data. 

Let’s start with vector embeddings, a type of data representation used by generative AI, Natural Language Models, and semantic search. In very simple words, it works like this:

  • AI generates vector embeddings infusing them with various attributes and features.
  • Features of embeddings represent patterns, relationships, and structures of data. They are what enables AI to “understand” content and context.
  • Traditional scalar-based databases aren’t the best fit for working with these embeddings because they can’t keep up with their complexity.
  • Vector databases are designed to work with vector embeddings. Therefore, they offer the highest levels of productivity and flexibility.
  • Using these databases allows AI to develop long-term memory and execute more complex tasks.

The picture below shows a basic representation of how a vector database works with vector embeddings. Notice how the database identifies similar embeddings associated with original content. This allows it to be faster and more productive in handling data.

How custom AI solutions refere to vector databases through embeddings.

How Does a Vector Database Work?

To understand why exactly vector databases are better for custom AI solutions, you need to know how they differ from other options. Traditional scalar databases store data in rows and columns. That’s pretty straightforward, secure, and efficient, but these rows and columns can be hard for AI to navigate. Even with immense processing power, identifying and reaching the needed data takes a lot of time.

Meanwhile, vector databases are different in their methods of data optimization and querying. Instead of querying a row with a perfect value match, vector databases use a similarity metric. Therefore, they are searching for a vector most similar to your query. To achieve this, they use a variety of algorithms combined into ANN (Approximate Nearest Neighbor) search. To optimize the search, these algorithms use:

  • Hashing
  • Quantization
  • Graph-based search

Boosting custom AI solutions: vector database pipeline.

The vector database pipeline (shown above) allows searching for information extremely fast. However, due to using ANN, the results you get are approximate. So, when working with this type of database, you need to understand that accuracy and speed are interdependent. It means that to get greater accuracy of results, you must lose speed.

That said, a good vector database, when used by custom AI solutions, should work so well that you get ultra-fast and ultra-accurate results.

Here’s how it goes step-by-step:

  1. Indexing
    The database indexes vectors using PQ, HNSW, LSH, and some other algorithms. It’s a mapping step that helps speed up the search.
  2. Querying
    The database compares indexed queries to the indexed vectors within the dataset to identify ‘nearest neighbors’.
  3. Post processing
    When needed, the database will retrieve the nearest neighbors and process them to achieve the final result with the highest accuracy.

How vector databases benefit custom AI solutions in real life.

Top Vector Databases for Custom AI Solutions Available Today

Devtorium’s software engineers working with custom AI solutions researched vector databases available today and selected the ones they consider the most efficient and promising.

  • Chroma DB
    It’s an open-source embedding database. Chroma lets developers add state and memory to their AI-enabled apps. It comes with everything a developer needs to store, embed, and query data, including built-in filtering, automatic clustering, and query relevance. It has both Python and typescript APIs, native support for OpenAI, and auto support for LangChain.
  • Pinecone
    This vector database makes it easy to build high-performance search apps. Pinecone finds and retrieves vectors, handles large amounts of data, detects irregularities and patterns in datasets, works well with the text, and can identify unusual behavior in time-series data.
  • Weaviate
    It’s an open-source vector database that allows you to store data objects and vector embeddings from various ML models. It scales seamlessly into billions of data objects. Weaviate offers semantic search, flexible schemas, time series analysis, and integration with deep learning frameworks.

How to Use Vector Databases in AI Solutions for Business

If you feel a little lost in all these technicalities and want to know exactly why you should consider using vector databases in custom AI solutions, see how they apply in real life.

  • Recommendation systems
    Providing personalized suggestions on your website certainly increases sales.
  • Searching for images and text
    Converting text and images into vectors makes finding similar ones easier. That’s especially useful in eCommerce, where customers can search for items using descriptions or photos. 
  • Natural language processing
    Representing words and sentences as vectors makes it easier for AI to understand and interpret human language. You can use this in document clustering and semantic search to increase accuracy. 
  • Fraud detection
    Vector databases can be applied to find data patterns that point to fraud. For example, a specific set of transactions with similar vector representations might alert your security system.

In the nearest future, a successful business will be one that effectively harnesses the potential of AI. At Devtorioum, we know multiple ways to boost the power of custom AI solutions. If you plan on gaining an advantage over competitors using one of these, contact us for a free consultation!

Introduction to AI Prompt Engineering for Midjourney

AI tools blew up the internet and changed our world almost overnight. However, one thing that most users learn just as fast is that AI prompt engineering is a challenging task. You can ask ChatGPT almost anything, and it will understand and offer some answers. But if you want to make AI generate a specific type of complicated text, you’re in for a struggle. It’s even harder when generating images, even with an AI platform as advanced and ‘experienced’ as Midjourney.

Devtorium teams are actively exploring the capabilities of artificial intelligence technologies. As part of this project, our UI/UX designers tested Midjourney thoroughly to understand the limits of this AI service and find the best ways to apply it in their work. Today, they share some insights about AI prompt engineering that they managed to get while studying AI-powered image generation platforms.

Before AI Prompt Engineering: How to Start Using Midjourney

Using Midjourney is quite simple, but it’s not as straightforward as simply downloading an app and entering a prompt. First of all, you need to have a Discord account. Once you set that up, you’re going to use Discord to access Midjourney. Start by joining its channel.

Midjourney takes care of its users by offering a very detailed and easy-to-understand set of docs. There you’ll find step-by-step instructions on how to:

  • Set up and use a Discord account
  • Join the Midjourney community
  • Generate images using commands
  • Learn various commands and parameters
  • Subscribe and manage your subscription
  • Upscale generated images

If you are having any issues, the community of Midjourney users is vast and quite friendly. Therefore, you should be able to get answers to any question fast.

At the moment, a monthly subscription to Midjourney costs $10 for a Basic Plan, $30 for Standard, and $60 for Pro. You can cut the cost when buying an annual subscription. Also, remember that the platform subscription will run out faster depending on the number of images you generate. Therefore, mastering the art of AI prompt generation will actually save you money as you’ll get accurate images faster.

Basics of AI prompt engineering: Midjourney interface.

AI Prompt Engineering Tips for Midjourney 

Now that you’ve set everything up, it’s time to generate images. So, you enter the command /imagine and enter your prompt. That’s where the fun starts because the prompt’s detail level and word order define the image you get. Note that the order of words and modifiers in the description matters quite a bit. So, if you want to be understood by AI, you must learn to speak its language.

That said, regardless of how advanced or well-structured your prompt is, you will always get an image. Moreover, the prompt structure isn’t fixed. It means that even if you switch some parts around, you’ll be able to get a beautiful and accurate image. However, as the Devtorium design team discovered, some structures just work better.

Here’s what they suggest using as a standard reference:

[Scene description]. [Modifiers], [Artist or style inspiration], [Technical specifications]

Now, let’s look at those parts and how to make the most out of this formula.

Scene Description

That one’s relatively easy. Your first step in AI prompt engineering is to make a short description of exactly what you want to see. For example, if you want to generate an image featuring pancakes dusted with sugar and surrounded by blueberries with a white background, that’s your scene description.

The most important thing to remember here is that when generating an image, start with a general description, adding specific details after it.

When generating an image with Midjourney, always start with a general description. Then, add details to make it more specific.

Modifiers

In essence, modifiers are the specifications that explain the machine what you want to achieve. It means that they are the most crucial element during AI prompt engineering. Your selection of modifiers will define the details of your image, so be precise but not overly descriptive.

Here are some general tips specific to Midjourney modifiers:

  • Put the words in brackets () if you want the AI to pay more attention to this specific detail. You can also use double brackets (()) to highlight the most important elements that AI must pay attention to.
  • Use modifiers to describe important image details such as lighting, style, mood, or specific image elements.
  • You can use a structure modifier:1.4 to draw the attention of AI to a specific element. It means that the machine will process it with a 140% value instead of all other words with a default value of 100%.

Using Midjourney: Commands and hacks for AI prompt engineering.

Types of Modifiers for AI Prompt Engineering

  • Type of art: digital painting, watercolor, concept art, portrait, full body, etc.
  • Style: epic realistic, fantasy, intricate, vivid, harmonious, lifelike, fantastic grotesque, architectural, balanced, cinematic, hyperrealistic, sophisticated, etc.
  • Lighting: warm lights, cinematic lighting, iridescent gold, dramatic lighting, dark, etc.
  • Detail complexity: intricate detail, photorealistic, realistic, emphasis on detail, etc.
  • Background description: complex background, color background, flowering landscape, etc.
  • Character description: appearance details (hairstyle, coloring, etc.), character action or pose.
  • Visual effects: art styles (oil painting, charcoal, etc.), photography style (bokeh, Adobe Lightroom, Photolab, etc.), 3D effects (Unreal Engine, Volumetric DTX, etc.), general (medieval, muted colors, pastels, impressionism, Bauhaus cubism, etc.)
  • Technical specifications: micro-details, 4K UHD image, RAW photo, extremely detailed CG Unity 8K wallpaper, etc.

Artist or Style Inspiration

This is also a type of modifier for AI prompt engineering. However, adding this specific element will affect the image greatly, so we thought it deserves a separate mention. Simply put, you can make Midjourney generate an image that will imitate your chosen artist’s style in great detail.

AI’s database is extensive so it can do equally good similes of classical painters and contemporary digital artists.

When you select an art style for this modifier, AI will use the works of top artists in this niche as a reference.

How to Learn AI Prompt Engineering from AI

As this topic is trending today, you can find an AI prompt engineering course on almost any education platform. However, the best way to learn is to ask AI itself. It’s easy to do when generating images through Midjourney because it has a command /describe.

When you use this command, you upload an image onto the platform, and AI will describe it for you. Studying the word patterns it uses will allow you to understand the way AI thinks. So, you can use such descriptions as a reference when making your own prompts.

However, you need to remember that artificial intelligence technology is only in the early stages of development. Therefore, if you use the same prompt that AI generates through /describe, you might get some very fun results.

AI prompt engineering by AI: How AI describes an image.

AI Prompt Engineering Limitations: Why We Still Need Human Designers

AI tech available to every user today can do some incredible things. However, it doesn’t mean that designers and artists will be out of work soon. In fact, knowing how well they work with AI is now one of the qualities of a reliable UI/UX design company. This technology is developing fast, but it has quite a few limitations. Starting to work on AI prompt engineering makes them very clear.

First of all, there are quite a few things that AI doesn’t understand. Nuances of meanings and personalized speech patterns are beyond it.

Simply put, if you take two people and have them describe the same image, they might give you two very different texts. It’s because we are guided by our perception, which is defined by our own experiences. So, where one person sees a stunning mountain landscape, someone else might see a desolate clump of rocks.

AI takes all prompts quite literally, so sometimes it’s very hard to make it generate exactly the type of image you want.

Moreover, artificial intelligence struggles with the negatives. So, your number one tip for AI prompt engineering is to never use exclusions. For example, avoid saying ‘the man doesn’t have an arm’. Instead, choose ‘a one-armed man’.

This limitation in understanding human speech is also the reason why prompts must be structured. When we describe something, we are mostly driven by emotions. However, AI always uses logic and math. The order of words you choose will affect how important it considers the details you list. It’s truly that simple.

However, as Devtorium designers commented while working on AI prompt engineering for Midjourney, the model learns extremely fast. So, we might all live to see when it becomes advanced enough to understand and translate into code even the most complex human emotions and fantasies.

AI Speaks About How to Use an AI Chatbot for Business

Devtorim’s AI-powered platform Marquètte is getting better at generating interesting articles you can use for blogs and even for self-education. Today we used one of the new marketing templates to have AI share ideas on using an AI chatbot for business. Check out what it had to say below.

Ideas on How to Use an AI Chatbot for Business in AI’s Own Words

In today’s digital world, businesses increasingly turn to artificial intelligence (AI) chatbots to automate customer service and enhance customer engagement. AI chatbots have the potential to save time and money while providing a more personalized customer experience. In this blog post, we’ll explore how to use an AI chatbot for business, the benefits of using an AI chatbot, examples of successful AI chatbot implementations, challenges of using an AI chatbot, best practices for deploying an AI chatbot, and how to measure the success of an AI chatbot.

AI shares its ideas on how to use an AI chatbot for business today.

How to Use an AI Chatbot to Automate Customer Service

AI chatbots can be used to automate customer service tasks such as:

  • Answering frequently asked questions
  • Providing product information
  • Helping customers with their orders

They can also be used to respond quickly to customer inquiries and provide personalized recommendations based on customer data. By using an AI chatbot, businesses can save time and money while improving customer satisfaction.

Benefits of Using an AI Chatbot for Customer Engagement

AI chatbots can help businesses to provide personalized service. For example, they can answer customer questions 24/7 and provide automated support.

In addition, AI chatbots can collect customer data and improve customer engagement through targeted messages. AI chatbots can save time and money by automating everyday customer service tasks.

Examples of Successful Uses of an AI Chatbot

AI chatbots can be used for a variety of business needs. For instance, the Bank of America uses an AI chatbot to help customers with account inquiries and transactions.

There is also Sephora, a company that leverages AI to power an in-app virtual assistant that helps shoppers find the right products.

Moreover, Domino’s Pizza has created an AI chatbot to take orders and provide personalized recommendations.

Challenges of Using an AI Chatbot for Business

Implementing an AI chatbot for a business can be a challenging process. Designing, developing, and deploying a chatbot requires a lot of time and resources.

Additionally, businesses must consider the cost of hosting and managing the chatbot and other associated expenses. Finally, it may take some time before companies realize their chatbot’s full potential.

Should you use an AI chatbot for business?

Best Practices for Deploying a Chatbot

Deploying an AI chatbot can be a great way to improve customer service. However, it’s important to ensure that the chatbot is designed to meet the customer base’s needs and that it is properly integrated into the existing customer service infrastructure.

Moreover, providing customer service agents with the necessary training to manage conversations with the AI chatbot is crucial. Finally, you also need ways to monitor customer service interactions for quality assurance purposes.

How to Measure the Success of an AI Chatbot

Measuring the success of an AI chatbot depends on the goals you have set. For example, you can measure the number of interactions, user satisfaction and conversion rates, or time on task. Additionally, you can use surveys and feedback forms to gain insights into the user experience.

Final Thoughts: Should You Start Using an AI Chatbot for Business?

AI chatbots can be invaluable for businesses looking to automate customer service and improve customer engagement. While there are potential challenges in implementing an AI chatbot, with the right strategies and best practices in place, businesses can maximize the success of their chatbot. In addition, deploying an AI chatbot is a great way to increase customer satisfaction while reducing customer service costs.

So, those were thoughts directly from AI. What do you say? Do you agree with these opinions and ideas? Will you start using an AI chatbot for your own business?

If you are ready to take this step, set up a free meeting with our development team!

For more thoughts on AI also see:

 

Core UI Design Principles Every Client Should Know

As a client ordering any UX and UI design services, you need to understand that while personal views on aesthetics matter, designers must not rely on them alone. Professionals adhere to the core UI design principles to create a final product that’s both usable and attractive. Simply put, those principles exist to ensure that users love any solution or website you launch.

Keep reading to learn what those core principles are and some special secrets of the trade shared by Devtorium’s UX/UI design team.

Core UI Design Principles Explained

Focus on the User

The user must be the center point of all UX and UI design. It means that every step of the way designer’s first thought must be, ‘what will be most convenient for the user?’

A good interface doesn’t confuse or distract from the goal of the product. Essentially, all UI design principles focus on making the interface easy and pleasant for people to interact with. A person who opens the app for the first time must be able to find exactly what they need without any guides or additional training. Using it must feel natural, so having the user as a focus of the design is an absolute must.

Another critical factor is that the user must feel in control when using the app. Therefore, UX and UI design must be created in a way that’s easy to master fast. The user should feel confident in their ability to find and do what they need, so the interface must be intuitive.

Moreover, user-focused UI design must allow for mistakes. For example, it means that all actions must be reversible. In addition, any important steps must literally come with a warning.

Main UI design principles that make apps beautiful and functional.

Clarity

Clarity is one of the essential UI design principles today. Never forget that any interface’s purpose is to enable the user to interact with an app. Therefore, they must be able to clearly see what they need to do in order to achieve their goals.

Simply put, clarity of the interface determines whether people using your app are able to do this at all. Poorly designed UI makes it impossible for people to understand what your application does.

However, it’s also important to remember that no specific clarity standard exists. Actually, it will differ significantly depending on the purpose of the app. For example, if you are designing an eCommerce app for a large marketplace, you’ll have to include complicated catalogs with multiple categories and sub-categories. Meanwhile, a basic note-taking app will be much simpler and ‘clearer’. Therefore, as a client, you’ll need to work closely with the UI/UX design services team to create a clear and understandable interface for your target audience.

Consistency

Keep everything consistent! It’s not only one of the main UI design principles but the golden rule of design as a whole. Consistency makes your app more aesthetically pleasing and easier to use and understand. Also, it’s necessary for effective branding throughout all your channels.

In addition, you need to remember that not only your design must be consistent with the brand’s style. You also need to make it consistent with symbols and terms used in various real-life situations. For example, as an eCommerce business, you might want to stand out and make your shopping cart appear in some unique way, discarding the traditional cart or basket design and even renaming the feature.

If you are expecting the result to be that your clients will appreciate how unique your brand is, you will be bitterly disappointed. There might be a few who will genuinely appreciate it. However, most shoppers will simply leave your website fast because they couldn’t find the cart within a few seconds.

So, always remember to be clear and consistent in all your messages!

Ease opf navigation is one of core UI design principles.

Simplicity and Minimalism

Simplicity and minimalism go hand in hand with clarity as leading UI design principles today. Classics are there for a reason, and that reason is that they are recognizable, understandable, and work exceptionally well. So, use that power to create UX/UI design that truly appeals to your audience.

In our world of information overload, minimalism has become equivalent to clarity. So, whether you like the style personally or not, it’s imperative to use it for any app interface design. Otherwise, your product’s chances of success are slim.

Feedback

UX and UI design must be interactive in a way that it must provide feedback to the user. Your UI copy will be responsible for that. So, design extends beyond graphics. The quality of the UI/UX copywriter’s work is no less important for making your app easy to use and understand.

A good user interface will provide prompts and feedback for every action to help users make decisions and master the app.

Accessibility

We are building an inclusive world, so accessibility is one of the core UI design principles today. However, not everyone is the same, and it’s the designer’s job to account for all types of user differences. It’s hard work to research and create an interface that will be equally comfortable for different people.

Adaptable and flexible interfaces that the user can adjust to their preferences are the main future trend. Also, remember that accessibility requirements will differ depending on the type of user interface.

Bottom Line: Always Prioritize UI Design Principles

It’s true that design is a matter of personal taste and preference. However, if you want your software product to be successful, you must consider the main UX and UI design principles. This way, you can ensure that the app is easy to use.

Keep these principles in mind when choosing a UI design company. In fact, the designers you consider hiring must know and adhere to these principles in their work. So, be sure to discuss this during the interview.

Using AI for Sustainability: Technology for a Better Future

Everyone today should understand that our planet isn’t doing too well health-wise. Reports of natural disasters or some other nasty side-effects of environmental changes come almost daily. With the rise of artificial intelligence, we are wondering how using AI for sustainability could help improve this situation. It turns out that AI tech can become a true life-saver for our planet, but only if it’s used wisely.

Artificial intelligence software development technology is developing rapidly. Some of its trends are already focused on using AI for sustainability, but that’s hardly enough. To truly benefit from this tech, people have to invest in the solutions that can make the most difference. However, governments also need to contribute. It’s not only a matter of money but also regulation. It’s because abusing AI tech could lead to tragedies, especially in countries that aren’t liberal democracies.

Keep reading to learn what AI can do to help heal our planet and why we must keep it under control.

Benefits of using AI for sustainability

Using AI for Sustainability and the UN SDG Program

A giant blob of seaweed moving to the shores of Florida right now is only one of the many natural disasters in action. All of them are red flags waving at the planet’s populace, stating that we need to do something to improve the health of the planet. One of the main initiatives currently working on those objectives is the SDG Program. 

SDG stands for Sustainable Development Goals defined by the UN. Those are the goals humanity is working towards to ensure the long-term survival and well-being of our world as a whole. They go far beyond managing climate change, including dramatically important matters like conquering world hunger, inequality, and increasing education quality.

Using AI for sustainability can help achieve over a hundred of those top goals faster and more efficiently. Applying this technology is currently most beneficial in matters concerning climate change and the overall health of our environment.

In turn, this can benefit businesses and economies because we live in a highly interconnected world. For example, according to PwC research commissioned by Microsoft, using AI for various environmental purposes can contribute about $5.2 trillion to the global economy by 2030. That’s not even counting the long-term benefits the entire planet’s population will experience from having a healthier environment.

Using AI for sustainability worldwide could help reduce greenhouse gas emissions by 4%  in 2030, which equals the annual emissions of Australia, Japan, and Canada combined! 

Companies Using AI for Sustainability

Many top companies already use AI for energy management and other practices to reduce their carbon footprint. Top examples of this include:

  • IBM
    IBM is applying AI in many of its processes to boost overall business productivity. Regarding increasing sustainability, one of the most valuable contributions comes from using AI for weather forecasting. Artificial intelligence allows for raising the accuracy of predictions by about 30%. As a result, IBM can help renewable energy companies increase their efficiency, especially in resource management and energy production.
  • Google
    It’s no secret that Google takes sustainability projects very seriously. Running power-hungry data centers, the company must do its best to boost energy efficiency. AI helps Google reduce cooling costs by 40%, and that’s only one of its applications.
  • Carbon Tracker
    Carbon Tracker is a think-tank focused on finding ways to improve the climate situation on the planet. One of its projects is using AI for tracking emissions. They can track CO2 based on satellite imagery and use this data to identify coal plants with the lowest footprint. Then, they use the data to help attract investment to these specific plants.
  • Xcel Energy
    It might be surprising to hear that a company that burns coal and has a high emissions level uses AI for sustainability. However, even businesses that are considered non-eco-friendly work on minimizing their impact. Xcel Energy is using AI to increase its efficiency by about 20%.

However, you don’t have to be a huge enterprise that racks up millions in revenue to start using AI for sustainability. You can use this technology to improve your business practices and processes in many ways. Consider the following ways to implement AI:

  • Precision agriculture
  • Energy management within office buildings
  • Analytics for better resource planning
  • Minimizing energy and water waste
  • Environmental monitoring
  • Sustainable supply chains

Dangers of using AI for sustainability.

Why Using AI Might Hamper Sustainability and Cause Global Problems

Using AI for sustainability can help accomplish great things. Some of the most prominent among them are:

  • Clean power
  • Sustainable production and consumption
  • Clean transport
  • Smart homes and cities
  • Early warning about possible disasters
  • Resilient infrastructure
  • Pollution prevention
  • Clean oceans
  • Disease control
  • Clean water supply
  • Resource management
  • Sustainable resource use

These and many other things can be possible if people work together and wisely manage their resources. AI can be a great help by taking out biases and calculating the best strategies for increasing sustainability and equality.

That said, this power can be used for evil as easily as it can be used for good. Therefore, it’s imperative to develop specialized regulatory bodies and strategies to monitor the applications of AI.

One of the most concerning matters is the use of this technology by authoritarian and totalitarian political regimes. Some non-democratic governments are already using AI for tracking purposes. There is a huge risk that they will abuse this technology further in order to maintain power and control of their territories and promote their corruption schemes.

A lack of transparency and competent regulation when it comes to using AI for sustainability or any other purpose can result in tragedies. It will definitely lead to multiple safety risks, including some with possible global consequences. It will also make it impossible to maintain clear ethical standards.

Therefore, any large-scale use of AI should be preceded by the development of proper regulation. Currently, technology is growing and spreading much faster than appropriate political and regulatory protocols. This should be concerning for all of us.

Statistics of using AI for sustainability

Bottom Line: The Future of AI and Its Impact on the World

Even the most basic AI chatbot can do incredible things today. Therefore, the future of AI technology is certainly bright. It will continue developing and growing fast because it’s the top investment opportunity right now.

However, that growth can lead to unimaginable consequences without proper regulation. So, the question isn’t how we can use AI for sustainability but how to ensure that sustainability is all it’s used for.

We shoule use AI for sustainability with better regulation.

Is Bubble the Best No-Code Development Platform?

No-code development can’t replace professional developers yet. However, it’s certainly getting better at creating software. Some of the best no-code development platforms can already create efficient and reasonably complex apps. Bubble.io stands out among these services due to its reliability and versatility. We know this because one of the Devtorium teams is using Bubble to develop an ERP solution for our company.

According to forecasts, the global no-code/low-code development platform market will reach $187 billion by 2030. If things continue as they are now, Bubble will be among the top platforms there. So, if you are wondering whether to choose it for your own MVP development, keep reading. Our team compiled a list of the platform’s pros and cons based on their experiences.

Benefits of Using No-Code Development Platforms for Small & Medium Business

No-code and low-code development platforms have been around for a while. Initially, they were very limited and mostly served as aids for developers. In essence, even today, no-code development is often used to cut down the software engineer’s work hours and involvement in a project. However, this tech can’t replace the professional entirely. That’s because an expert must manage it.

That said, no-code development offers small and medium businesses a great opportunity. These platforms enable SMBs to create affordable customized software to boost their business’ productivity and speed up inner processes.

Moreover, using a no-code development platform is a fantastic way to build your MVP. If you have an idea, this type of solution will allow you to make it presentable to attract investors.

However, in order to make the most out of your no-code development project, you must understand the capabilities and limitations of the platform you choose. In this article, we’ll analyze Bubble, one of the leaders among the best no-code development platforms today. 

Is Bubble the best platform for no-code development?

Bubble No-Code Development Platform: Pros & Cons

Advantages of Using Bubble

Every Devtorium developer who used or even researched Bubble says its main advantage is that the platform allows you to write your own logic. Quite often, it’s a massive issue with no-code platforms because they only let you develop solutions based on built-in plans.

However, Bubble allows developers the maximum level of flexibility. So, you can use this platform to create almost any type of solution. For example, this includes marketplaces, SaaS, dashboards, or even your very own social network.

Our devs believe Bubble is an excellent platform to test your ideas. You can use it for developing an app fast and evaluating how all the features you want to include fit together. You can also use it to have a focus group test the app. This way, you’ll be able to assess and improve your app development plans. In addition, you can see the audience’s response to it.

Aside from the flexibility, Bubble offers a wide range of functionalities you can integrate into your app. This no-code development platform is extremely versatile and has a vast plugin marketplace. Therefore, there is hardly a feature you can’t find. Therefore you should be able to create precisely the type of software you want.

Moreover, there is a thriving Bubble community, and the platform’s support service works exceptionally well. So you’ll be able to find advice or discuss any questions you have. 

Bubble No-Code Platform Limitations

Even the best no-code development platforms aren’t perfect. So you need to consider their limitations before settling on a no-code platform for your project. In fact, your long-term plans are the foremost thing to consider when using Bubble. For example, if the platform doesn’t have the capability for features you want to add in the future, reconsider using it at all.

Of course, no-code development platforms evolve and release new features and functionalities regularly. However, betting the future of your own project on this chance is probably a mistake.

That said, you must remember that the features you might like at the idea stage aren’t what your target audience needs and wants. So from this point of view, creating a high-quality MVP with Bubble might pay off because you’ll be able to collect relevant feedback. But bear in mind that you might need to move to a different platform or even build your native app from scratch again using different technology.

In addition, we discovered that Bubble is flexible for functional design but not for UI/UX design. It’s a fundamental fact to keep in mind when you try to bring your idea to life using Bubble. You’ll be disappointed if you believe you can create a functional app and upgrade the design later, you’ll be disappointed.

Bubble no-code development platform is somewhat limiting in UI/UX design adjustments. It means you have room to create an attractive UI design as you start developing, but you can’t change it much after creating the app. So the solution is to have your design on hand when you start working with this no-code development platform.

Pros and cons of using Bubble for no-code development.

Bottom Line: How to Choose the Best No-Code Development Platform

If you think about no-code development, Bubble is definitely one of the best options today. Our developers tested it extensively and were very impressed. However, you need to remember that all these platforms have limitations. The most important among them is processing power.

Simply put, no-code is suitable for small and medium projects. However, enterprise-level businesses won’t be satisfied with the results.

You need to consider your specific needs and plans to choose the best among no-code platforms. Research what each option can deliver and pick the one that meets your needs best. Don’t forget to consider the price because these solutions won’t be free if you want to have a decent amount of processing power.

AI Content Writer Marquètte: Marketing Templates

ChatGPT changed how people see an AI content writer and AI in general. At Devtorium, we consider this a fantastic development because it helps popularize AI-powered solutions. Our own AI content generator Marquètte keeps progressing as well. This tool can become an invaluable helper for marketers and content writers.

In this post, we will show you how to use Marquètte to generate a wide range of texts in a few clicks. To see ideas on how to implement AI content writing software in your marketing strategies, check out this article.

What AI Content Writer Marquètte Can Do for You

As an AI content writer, Marquètte generates texts on different topics. However, the issue with the majority of AI chatbots and content writers openly available today is that they create generalized texts. Therefore, you’ll need to spend a lot of time editing them for marketing use.

Devtorium solves this problem with our Templates functionality. Designed with the help of our data science team, these templates generate highly specific texts targeted to different purposes. A set of marketing content templates allows you to create ads, emails, and product descriptions that will show your product in the best light.

Writing a few dozen marketing texts about the same product or service will finally be easy!

Every piece of content generated by an AI writer is unique, and each will focus on making your offer sound as appealing as possible.

Keep reading to see examples of how AI content writing software can market your products or services to any audience.

Marquètte AI Content Writer: Marketing Templates

Marketing templates from Marquette: AI content writer

Product Description

Struggle with creating an attractive product description that highlights the top attributes of your product or service in the best way? Marquètte can create as many of those as you need, so you’ll be set up with a unique description for every platform and ad campaign you plan to run.

Take a look at an example generated by an AI content writer. The product in the task was ‘herbal tea blend’. You can also add attributes you want AI to focus on. In this case, we listed some adjectives: soothing, relaxing, calming.

Welcome to the world of relaxation and harmony that comes with our soothing herbal tea blend! This blend is specifically designed to bring free-flowing energy, inner-calm, and increased relaxation. It contains lavender, which helps soothe the mind and instill a sense of restfulness. Our calming herbal tea blend provides many calming benefits for those who seek a better quality of sleep. The effects of this blend become even stronger with consistent use. So why wait? Make today the day you start to make peace with yourself and your environment as this soothing blend does its work!

Marketing Email

No matter how the market changes, email marketing remains the tool with the highest ROI. You can bump those numbers further by having Marquètte generate emails for you. Check out how the AI content writer does it below.

This time, we decided to check how AI can deal with fun and entertaining ads, so we requested a marketing email for a rubber duck that’s safe for babies to play with.

Safety & Fun for Little Ones: Yellow Rubber Duck!

Introducing our fantastic rubber duck—made from soft and durable resin, this fun duckling is the perfect companion for bathing time!

Sporting a stylish yellow hue, our product adds a cheery environment to your tub. Our duck can also provide peace of mind, as it is perfectly safe for infants. No need to worry about any toxins—this product is certified non-toxic and 100% family-friendly.

No more fretting over whether your child is exposed to unsafe materials!

Make bath-time fun and entertaining with our amazing rubber duck. Trust us, your little one and you will be thrilled to get a chance to make a splash with this delightful bath toy.

We hope you love it as much as we do!

Regards,

The Rubber Duck Team

SWOT Outline

This template is more of an aid for a content writer tasked with creating content about specific companies. AI will generate a list of strengths, weaknesses and opportunities for a specific business. However, bear in mind that AI may not have the latest data, so this information might not be current.

Here’s an example of such an analysis for Nestle.

Strengths:

  • Global presence
  • Strong brand recognition
  • Innovation
  • Diverse product portfolio
  • Strong financial performance

Weaknesses:

  • High reliance on mature markets
  • High cost structure
  • Lack of focus on emerging markets

Opportunities:

  • Growth in emerging markets
  • Expansion of product portfolio
  • Partnerships and acquisitions
  • Focus on health and wellness

Threats:

  • Competition from other food and beverage companies
  • Increasing cost of raw materials
  • Regulatory changes
  • Changing consumer preferences

Social media templates for marketers from an AI content writer Marquette

Short Social Media Post

Every marketer running a few dozen Facebook ads campaigns knows how hard it might be to write a few variations of product ads that are under 100 words long.

Well, Marquètte can do it in a few moments. This template will generate short sentences that can be used for social media ads with your gorgeous visual media. For example, here’s a text generated for a fantasy novels sale:

Enchanting Stories Await

Get lost in a world of adventure with our fantastic selection of fantasy novels! Shop our spring book sale now!

Informative SMM Post

We understand that the majority of marketers and content writers have to create multiple informative SMM posts to keep the channel audience engaged. A template for this type of content is currently in the works. We are planning to release it in the next few weeks.

For now, here’s a sneak peek of how an AI content writer will generate posts like this. The request for this task was ‘tips for choosing the best e-wallet service’.

When choosing an e-wallet service, it is important to consider a few key factors. First, make sure to research the security measures of the service you are considering. Look for features such as two-factor authentication, encryption, and fraud protection. Additionally, consider the fees associated with the service. Many services have different fees for different types of transactions, so make sure to read the fine print and understand all the costs associated with the service.

Another important factor to consider is the range of services offered by the e-wallet provider. Many services offer different features such as the ability to send and receive money, store loyalty cards, and access discounts. Additionally, look for services that are compatible with your current banking and payment methods, such as Apple Pay or PayPal. Finally, make sure to read customer reviews to get an idea of how reliable and user-friendly the service is. Taking the time to research and compare different e-wallet services can help you find the best one for your needs.

Bottom Line: Who Can Benefit from Using an AI Content Writer?

AI content generation is a trending topic today. Any business can find a way to include it in processes, especially involving marketing. With the help of Marquètte templates, you can start generating ads and other marketing content right now. Give it a try during a free trial and see what you can achieve!

If you want to take a look at long-form content created by AI, see the blog post completely generated by Marquètte.

Types of User Interfaces: Tips for Hiring a UI Design Company

If you plan to create any kind of app or software product in general, you will need to work with a UI design company. Of course, it may not be called this exact way because designers usually work with UI and UX simultaneously. Moreover, a custom software development company will most likely have a design team. Therefore, you’ll just dive into the most interesting question immediately. And that question is, what kind of user interface do you want to have?

Technology is evolving, and we’ve now moved on from the point where graphical interfaces were your only option. Keep reading to learn what alternatives you have now. Also, remember that consumers are hunting for the best UI/UX experience today. Therefore, investing in a creative and well-optimized interface is sure to help you get ahead even in a highly competitive market.

Before You Hire a UI Design Company: What Is UI?

Before we start listing trending UI types, let’s see if you understand what UI is and the difference between UI and UX design services. In essence, UI includes everything the user interacts with to navigate information within the device. For example, for a computer program, this will include:

  • Desktop appearances
  • Computer mouse
  • Keyboard
  • Clickable buttons
  • Text entry fields
  • Texts
  • Sliders
  • Screen layouts
  • Transitions between screens
  • Interface animations

So, if you thought that a UI/UX designer only thinks about making your app look pretty, you’ve severely underestimated the work they have to put in when creating a friendly user interface. Moreover, you also need to consider that UI development goes beyond design. A lot of technical work is involved in making your app genuinely user-friendly and attractive.

Meanwhile, UX design is an integral part of this process because it ensures that the user interface is easy and intuitive to interact with.

For a very long time, software products only relied on graphical user interfaces due to technological limitations. However, now you have the freedom to use top-notch tech to make your solutions more interactive. In addition, IoT and smart assistants, like Alexa or Siri, have become the norm today. According to TechJury, about 64 billion IoT devices will be in use worldwide by 2025. So, developing a more advanced UI type is guaranteed to be a good investment.

Types of User Interfaces: Things to Discuss With Your UI Design Company

Graphical User Interface: what to know when hiring a UI design company

Graphical User Interface (GUI)

Graphical user interfaces are the most popular and some of the simplest available today. You interact with them daily by clicking on any icon, whether with a mouse or your finger on a touchscreen. These interfaces are best used for multitasking (when the user runs several apps at a time) or for complex programs.

GUIs are the standard go-to that every UI design company will focus on first. In the majority of cases, any other tech additions will be built upon after completing the graphical component of your solution.

The main advantages of a GUI include the following:

  • Attractive design
  • Very user-friendly
  • Easy to use and navigate
  • Absence of challenging commands
  • Understandable for people without a background in tech

However, GUIs are not perfect. First of all, they can be slow and require a lot of RAM to run (for advanced versions). In some cases, the user might require extensive additional hardware to run some graphical interfaces. For example, think of last-gen video games.

Voice-Controlled Interfaces are taking over the world! Missing out on this now might make it impossible to remain competitive

Voice-Controlled Interface (VUI)

How often do you talk to Alexa? Or Siri? Or how reliant are you on your Google Assistant? If you use any of those, you’ve probably noticed that they become an integral part of your daily life so easily that you don’t even see it. However, removing them now will make everything so much harder, right?

Voice-controlled user interfaces are not a big part of a regular UI design company’s services. Therefore, you’ll need to search for specialized developers to launch a product like that. Moreover, creating such software from scratch will require a significant investment. However, you can definitely consider integrating functionality that will connect your software product to one or all of the existing voice interfaces.

Voice-controlled interfaces are becoming more popular, and this trend will undoubtedly grow. They enable users to interact with their devices more efficiently, which is necessary in the hectic modern world. In addition, the teaching capabilities of VUI solutions are unparalleled.

Benefits of VUIs include:

  • Anyone can use them easily, no matter their level of tech proficiency
  • Easy integration with multiple devices
  • Translations make them available globally
  • Enables easy human-like interaction with your tech

However, before you plan to create a VUI for your product, remember that the number of commands that can be integrated with it now is small. This technology is still developing, so tech issues and limitations might exist. Also, while translations are excellent, there are only a few of those now.

How to design a great interface? Ask your UI design company

Natural Language Interface

Natural Language Processing (NLP) and Natural Language Understanding (NLU) technologies have been evolving for a while. They are an inseparable part of the AI development process. Devtorium is a company experienced in working with this technology as we’ve designed and launched an AI-powered platform Marquètte. Natural Language Interfaces (NLI) are designed for this tech as they enable the user to communicate with computers using human language.

After ChatGPT had gone viral, interest in NLI increased greatly. Many businesses are now looking for ways to integrate this tech into their product. So, if you plan on creating any type of software, you definitely should consider expanding beyond a regular UI design company’s services. In essence, a chatbot of some kind is a must-have for business right now.

The main benefits of an NLI include:

  • Incredibly varied and numerous application possibilities
  • Great level of personalization for user-tech communication
  • Ability to create a realistic interaction, especially with voice generators
  • Can enhance existing software products
  • Context-sensitive responses that are getting more precise

The only significant drawback of VUIs is that they are now challenging to program. However, this technology is evolving rapidly, so we are sure to see fast growth in AI. The hardware needed to run this tech is also expensive. So, resources will also be an issue, unless you rely entirely on third-party products.

#ChatGPT has gone viral. Can you afford to NOT have a chatbot for your business today?

Final Things to Consider Before Hiring a UI Design Company

In this article, we focused only on UI types that someone interested in developing an innovative software product can use to boost their business plan. However, many other types are used daily, for example, the command line interface that developers often use or menu-based interfaces you interact with when using ATM machines and the like.

There are also advanced technologies that never managed to become popular for some reason, like gesture-based interfaces. Those holographic screens looked so cool in sci-fi movies and when Tony Stark was using them, but current tech doesn’t allow making them a viable option.

That said, we live in times when tech is evolving lightning fast. So, investing in cutting-edge interfaces is a smart move. You might not even notice how they turn from cutting-edge to an everyday staple feature. Therefore, it’s best to be ahead!

In order to do this, you should focus on hiring not merely a UI design company but experienced developers that can help you create a versatile solution. In this case, you’ll be able to develop a product with several interfaces to ensure a wider reach. Expand your target audience to stand out from your competitors.

Do you want to learn how to do this within your current budget? Set up a meeting with our team!

How to Choose a Tech Stack for AI-Driven SaaS Development

AI-driven SaaS development is one of the best investments ever because this tech trend is scorching hot. According to SpendDesk research, an average public SaaS company is now worth around $27 billion. Moreover, it’s estimated that 85% of all business applications will be SaaS-based by 2025. Undoubtedly, in a couple more years, software as a service will replace all other types.

If you need more motivation to invest in SaaS platform development, consider the following numbers:

  • Gartner estimates that cloud spending will amount to 45% of all enterprise IT spending by 2026.
  • The SaaS industry value is over $172 billion and constantly growing, says Exploding Topics.
  • Private European investment in SaaS is growing by 3.2, year over year, claims Paddle. However, the US remains the leader among SaaS companies and investors.

This list could go on, but there is only one conclusion, SaaS development services are gold right now. So, it pays to get onto that train as soon as possible.

If you decide to use this incredible opportunity and create a SaaS product, you need to look for a company with a tech stack for it. In case this is your first time, here are a few tips on choosing a tech stack for AI-driven SaaS development. We’ll also suggest the best technologies for these projects.

what is the best back-end technology for AI-driven SaaS development?

What to Consider When Choosing a Tech Stack for AI-Driven SaaS Development?

First of all, you must understand what drives the choice of a tech stack for any software development project. Five crucial factors will dictate your decision regarding technologies.

  • Scalability.
    Modern technology changes extremely fast, and your project will grow fast as well if it’s successful. Therefore, you must choose systems that allow continuous evolution and growth and integrate new features with minimal disruption.
  • Time-to-market.
    How fast can you release the product on the market? The answer is always as quickly as possible’. Even if it’s not the final version, the product should start making money and pay for itself early. In addition, launching an MVP will provide you with invaluable user feedback. Use it to make improvements in later product versions. However, remember that it will grow and change constantly.
  • Learning curve.
    It might happen that you need to change developers after launching your product. Therefore, you should consider the learning curve of the technology used for it. Think about how much time the new team will need to understand the project and start doing their job. Moreover, the tech stack will determine how hard it is for you even to find a new team. So, it’s always best to use widespread technologies.
  • Code maintainability.
    Think long-term and consider how your code can be maintained over time. For this, you need to consider whether the programming language you choose has an active community with strong support. In addition, make sure that code isn’t overly complicated. Again, this will become necessary if you need to change your AI-driven SaaS development company.
  • Support.
    Future product support is another thing to take into account when planning long-term. Overall, it’s best to choose technologies that have existed for a while and remain strong.

AI-Driven SaaS Development Tech Stack: Best Back-End Choices

The basis of your entire AI SaaS product starts with back-end development. It’s the foundation of your application, so you must ensure it’s as strong as possible. Therefore, no matter how innovative your AI-driven SaaS development idea is, it’s best to build the foundation on time-tested reliable technologies.

The best SaaS development choices for back-end tech include:

  • .NET (C#)
  • Node.js
  • PHP
  • Python

Each choice will enable you to create a reliable and adaptable application. Moreover, these technologies are quite popular. Therefore, you shouldn’t have any issues changing developers or adding new people to your team as the product grows.

Speaking of growth, all these technologies allow for efficient scalability. So you’ll be able to improve and add new features fast.

There is no single best choice among these programming languages. This particular decision should be based on your product’s functionality and budget. Discuss this matter with experienced developers as they can advise on which choice will benefit the project most.

Best front-end technolgies for AI-driven SaaS development.

Best Front-End Technologies for SaaS Platform Development

JavaScript reigns supreme when it comes to AI-driven SaaS development. It’s hard to believe, but less than five years ago, about 95% of all websites used JavaScript. Therefore, there is no better choice for your SaaS development in the front-end department. In fact, one of the top back-end options we mentioned above is Node.js, a JavaScript runtime environment for back-end development.

In regards to the front-end department, the best choices are all JavaSript frameworks:

  • React
  • Angular
  • Vue.js

You’ll need to get expert opinions and think long-term when choosing between them. It’s essential to have some idea of the changes you wish to implement to expand the product in the future. These technologies vary in flexibility, and adding specific features down the line might be more challenging for some of them. So, plan your moves ahead and think big. Even if you never implement the changes you plan at the beginning, you’ll be sure there is room for them.

Remember that rewriting your product in a new language later can be prohibitively expensive. Moreover, it might take you off the market for a while.

Start Your AI-Driven SaaS Development Project Right Now!

As you can see, the whole process of choosing a tech stack for AI-driven SaaS development seems a straightforward process. The best choices are indeed few, and they are well-known. It means you can easily research every programming language and framework to learn its strengths and weaknesses.

However, making the actual choice isn’t that easy. This decision can have a massive impact on your project’s success. Therefore, you must consider it very carefully.

It would be best to consult an experienced SaaS development company first. Find people you can trust and explain your ideas to them. If your research led you to something, share this with the developers. For example, you can say why you think .NET is the best choice compared to Node.js. Then, let experienced developers share their ‘insider knowledge’ of the framework. These negotiations should result in you making the best possible choice for your future project.

Want to see how this works? Schedule a free consultation with our team right now!

Devtorium has years of experience in SaaS products for various industries. Moreover, we’ve recently launched our own AI-powered SaaS platform, Marquètte, used for content generation. As a result, we can analyze your idea and devise several plans to bring it to life, considering your budget and long-term goals.

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