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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 fina

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. 

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