Top No-Code AI Tools of 2024: In-Depth Guide
No-code AI has transformed the way businesses leverage artificial intelligence. With no-code AI tools, average business users can deploy AI models without a background in development, data science, or technology.
Years ago, if you wanted to build a website or mobile app, you’d need to hire a developer. But today, no-code tools make it possible for anyone to build these without writing code.
The same concept can be applied to no-code AI—only the AI technology is far more advanced and capable of doing things we never thought possible.
If you’re interested in integrating AI into your business, then no-code AI is the easiest and most cost-effective way to do it. You can use this guide to find the right AI tools for your specific needs, and learn how they can take your business to the next level.
What is No-Code AI?
No-code AI is a term to describe the creation and deployment of AI applications without coding, programming skills, or technical knowledge. No-code AI tools typically operate in one of two ways—either a drag-and-drop interface where the user moves elements through a visual builder or through a wizard where users answer questions and the AI builds the application based on the responses.
No-code platforms make artificial intelligence and machine learning models available to the masses, which historically was only something that was only available to those with technical skills and specialized training.
Reasons to Use No-Code AI Platforms
There are dozens of reasons and potential use cases for using a no-code AI tool. But at the highest level, all three of these boil down to three main benefits:
These three benefits hold true regardless of your specific use case of an AI model. It gives businesses access to the latest cutting-edge technology, which can enable users to produce more results than ever before.
Anyone can use a no-code AI tool without prior training or technical experience. This will allow them to perform tasks that would normally take weeks, months, or years in a matter of seconds or minutes. All of this can be accomplished using free or affordable tools.
You won’t need to hire data scientists or spend years studying natural language processing. With a no-code AI tool, you can get started immediately with virtually no barrier to entry.
Furthermore, people with a technical background or data science expertise can produce even more by using AI-powered workflows. So regardless of your skill level, you can benefit from using a no-code AI solution.
15 No-Code AI Tools For Every Essential Business Use Case
The use cases of no-code AI are virtually limitless. To showcase the versatility of this technology, I’ve highlighted the best no-code AI tools on the market—each of which solves a unique problem and has a specific use case in the business world.
From data analysis to image recognition and automated machine learning, business leaders can use this technology to train AI models, create AI applications, create accurate predictive models, and so much more.
1. BuildFire AI — No-Code AI Mobile App Development
BuildFire AI is the fastest and easiest way for anyone to create a mobile app. By leveraging AI development, the platform lets you build an app in a fraction of the time compared to other no-code tools on the market.
Just answer some simple questions about your business, and BuildFire AI will automatically generate content, suggest features, and start creating your app based on what you want to accomplish. It even pulls logos and color schemes from your website so the app matches your company branding.
The secret behind this technology is that the AI functionality is built on top of BuildFire’s industry-leading app development software. BuildFire has already been used to create more than 10,000+ apps for iOS and Android. The AI app builder just takes technology that’s already powerful and supercharges it.
If you’re crunched for time or on a tight budget, BuildFire AI gets you to market quickly for a fraction of the cost.
Plus, all of the design elements are handled for you—in seconds. This is something that would normally take weeks for traditional app development.
Don’t love the first design you see? No problem. With a single click, BuildFire AI will generate a new one for you. It’s that easy.
2. Akkio — Custom AI Chat Box For Clients
Akkio is one of the most unique AI solutions on this list. It’s a generative AI tool that’s built for agencies.
By leveraging AI analytics and predictive modeling, it enables agencies to put the power of AI in the hands of their customers.
The coolest feature is the ability to “chat” with data using AI. You can create custom chatbots for your clients that allow them to gain valuable business insights and create charts without writing code. For example, you could simply enter “create a chart on monthly sales.” Akkio will look at your historical data, and the tool will provide the visual.
This tool can basically be used by any company with data (which is basically everyone). But the ability to repurpose it for client use is what makes Akkio unique—earning it a top spot on my list.
3. DataRobot — Predictive AI For Technical Business Users
DataRobot uses generative AI and predictive workflows to improve business outcomes.
It’s built on an open AI ecosystem, which gives businesses the flexibility to adapt and innovate without restrictions.
The platform has been used across a wide range of industries—including banking, fintech, healthcare, insurance, manufacturing, and aviation.
For example, hospitals and health practices can use it to predict which patients are more likely to be admitted. So doctors can proactively take steps to improve their health. An insurance company can use it to predict which products are most likely to succeed when cross-selling to specific clients. Warehouses can predict traffic to optimize resource planning.
You get the idea.
While DataRobot has plenty of no-code features, it’s definitely built with technical audiences in mind.
4. Obviously AI — No-Code AI For Churn Prediction
When I first discovered Obviously AI, I was blown away by the demo. I saw them take structured data and use it to create a predictive model in less than five minutes.
It turned a dataset with thousands of rows into something practical, and the user just needed to answer some basic questions about what they wanted to build.
It’s just a matter of selecting your data source, making a few clicks, and boom—done.
The demo I watched used customer data to create a predictive model on whether or not a customer would churn. This is just one potential use case, but it was my favorite because it’s something that all businesses worry about. Since the vast majority of businesses keep customer data, this is a practical use case that anyone can benefit from.
5. Google Teachable Machine — Create Machine Learning Models Based on Images, Sounds, and Poses
It should come as no surprise to see a solution from Google on this list—as they’ve been pioneering technology for decades.
Google Teachable Machine does exactly what it sounds like. The platform lets you use machine learning models to teach or train a website or app to recognize certain elements.
Using computer vision, the software can be taught to recognize images, sounds, and poses. Just segment different examples of what you want the model to train and then test whether it classifies them correctly.
For example, this would work really well if you wanted to create a mobile app that identifies birds. You’d simply gather as much information about each bird and then teach the model to recognize them based on looks or even sounds.
6. Lobe AI — Free Machine Learning Model Using Image Classification
Created by Microsoft, Lobe AI is actually pretty similar to Google Teachable Machine. The biggest difference is that you can export your model in more ways.
Currently, it only works by using image classification—meaning you label images based on what it is to train the model. But object detection and data classification models are coming soon.
Lobe AI also has project templates that automatically selects the best machine-learning architecture for your project.
Let’s say you wanted to use no-code/low-code to build an app that recognizes plants. You’d first need to train the software to recognize what a specific type of plant looks like. Then when an app user points their camera at a tree or bush, the app would tell them what type of plant it is.
7. Amazon SageMaker — Use Tools Like Notebooks, Debuggers, Profilers, Pipelines, and MLOps in a Fully Managed ML Service
Amazon SageMaker offers the best of both worlds for enterprise organizations.
Business analysts can benefit from no-code interfaces while still leveraging the power of machine learning. But data scientists with technical expertise can use it to become more innovative with ML through their preferred choice of IDEs.
This makes it an appealing option for businesses that have both technical and non-technical users on their teams.
8. Nanonets — AI-Powered Document Processing
Nanonets is a no-code AI platform that’s built for extracting the most information out of your documents.
And the term “documents” is used loosely here. It can pull insights from emails, support tickets, databases—basically any unstructured data across multiple sources.
For example, you could use it to collect invoices from emails and then automate accounts payable tasks. Or you could use historical data from old purchase orders to optimize your supply chain.
You can try it for free and let Nanonets analyze 500 pages for your starter models.
9. Levity AI — AI Automation For Repetitive Tasks
Levity AI is a no-code workflow automation builder.
Business users can simply build an AI-powered model to complete common tasks based on certain triggers. It can be used for sales quote automation, direct order entry, customer tracking, and so much more.
Just connect it with the tools you’re already using, like CRM databases, email providers, and management systems—then define your workflow by building AI blocks.
10. Causaly AI — Human-Centric AI For Research and Development
Causaly AI is designed for biomedical scientific research and development. It’s built to eliminate human bias while conducting research and uncovering hidden knowledge in studies.
As someone conducting this type of deep scientific research, you can benefit from asking Causaly questions. The AI answers these questions based on what it found in reading every biomedical literature that’s ever been published.
It could otherwise take weeks or even months for researchers to find these answers. But Causaly finds them in seconds.
The use cases of Causaly AI are pretty astonishing. It can help identify biomarkers in drug development programs, which ultimately streamlines success rates. It can also validate and qualify biomarkers in these studies. Scientists are even using it to further understand the biology behind diseases.
11. PredictNow.ai — AI For Hedge Fund Investments
PredictNow.ai is another ultra niche-specific no-code tool. It’s built specifically for hedge funds, asset managers, and financial institutions.
It’s designed to help these organizations forecast the probability of profitable trades and investment decisions.
While this type of technology isn’t necessarily new, PredictNow.ai has some tools that you won’t see from other tools on the market.
The platform is built on a concept that they call “Corrective AI.” Rather than completely relying on the AI models, the platform is designed to combine big data with human insight. So the decisions are still in your hands, but now you have more information at your disposal.
12. Invideo — AI Powered Video Generation
As the name implies, Invideo is a no-code AI tool for creating videos.
Some of you may have experience with AI image generation. But Invideo blows that technology out of the water by creating more engaging video content.
You can instantly turn text commands into videos, which is fun for anyone to do but also has tons of practical use cases for businesses. Rather than having to spend days or even weeks creating marketing and promotional content, you can use Invideo to create them in minutes.
It’s also really easy to tweak and edit the videos with just a few clicks. You can even add human-sounding voice overs to your videos.
13. AI Squared — Machine Learning For Business Web Applications
AI Squared uses both predictive and generative AI models to support web-based applications.
It’s all about leveraging your company’s data to gain a competitive advantage.
The platform can fill the gaps between data science and general business teams. These models can be implemented into web apps that businesses are already using, which can ultimately unlock hidden insights that were previously unavailable or too time-consuming to uncover.
14. E42 — AI “Co-Workers” For Enterprise Functions
E42 is a no-code technology that’s powered by artificial intelligence and NLP designed to create “cognitive process automation” for enterprise organizations.
In simple terms, the platform lets companies and business users build AI co-workers to help boost productivity and complete tasks.
The idea behind E42 isn’t to replace humans with AI—it’s to let AI supercharge human capabilities.
One cool use case of E42 that I found interesting was the creation of an AI assistant named Neil. Neil is an accounts payable “executive” who handles 90% of accounts payable tasks.
There are dozens of use cases like this on the E42 website. So you can check it out for yourself to see if any apply to your business.
15. Flagright — AI-Powered FML Compliance For Fintechs and Banks
Flagright is a niche-specific AI platform that’s designed specifically for banks and financial technology companies. It helps these organizations deal with AML compliance—helping to detect money laundering, criminal financing, and securities fraud.
While this may sound complex, it’s completely no-code.
Compliance and fraud teams can use it on a practical basis to make fast and reliable decisions if suspicious behavior is detected. You can use it for rules-based monitoring, risk scoring, and even sanctions screenings.
You can even use it to build custom scenarios and anonymously collaborate with other financial organizations across the globe.
According to the Flagright website, this AI-powered risk detection tool saves the average analyst 20 hours per week, and it cuts false positive alerts by over 50%.
Final Thoughts Using AI and No-Code Tools
Saying that no-code AI tools are powerful would be a drastic understatement. As you can see from the tools in this guide, this technology can be used for seemingly anything.
We’ve shown how no-code AI can be used to build mobile apps, create videos, reduce risks for hedge fund managers, and even fight financial crime.
The key to success with no-code AI is finding the right tools that can help your business. Hopefully the options in this guide gave you a good starting point on what you can accomplish, along with some quality recommendations for tools that meet your desired use case.