1. Bubble

Bubble.io is a no-code tool that allows users to build software, including SaaS platforms, marketplaces, and CRMs, without technical expertise. 

It is different from other no-code web development tools as it can build the backend logic needed for more complex, custom apps of any type. 

Bubble is a tool that’s changing the game in the world of technology and creativity. It’s a platform that allows people with big ideas, even if they’re working alone or in small teams, to bring their concepts to life without needing to know how to code.

The power of Bubble lies in its ability to combine the power of generative AI with no-code development. Bubble gives you the ability to tap into the potential of OpenAI within your apps. This means you can connect to AI models like ChatGPT, GPT-3, and DALL-E 2 through OpenAI’s API platform.

Bubble is not just a tool, it’s a force multiplier. It takes the effort you put in and multiplies it, helping you achieve results that were previously only possible with large teams or significant resources. 

With Bubble, you can run a software company with just two people instead of a hundred. This lowers the barrier to entry, making it easier for more people to start their own businesses and bring their ideas to life.

They also have a very active forum where you can ask questions and get advice on your application from expert Bubble users.

As you can see, Bubble is one of the best no code AI tools for startups that has the potential to speed up software development and make it more accessible.

2. Obviously.ai

Obviously.ai is a powerful no-code AI tool that transforms your raw data into predictive models in a matter of minutes. It’s like having an incredibly fast and intelligent assistant that can help you understand your data and turn it into valuable insights.

With Obviously.ai, you can predict various outcomes such as customer churn, lead conversion, loan repayment, and fraud, a process known as classification. 

You can also predict sales, dynamic pricing, yield, deal size, and costs, a process known as regression. 

Moreover, Obviously.ai allows you to predict a number given time, such as sales in six months or stock price tomorrow, a process known as time series analysis. 

But the capabilities of Obviously.ai don’t stop there. The platform allows you to build AI models with just a few clicks, turning your data into a return on investment (ROI) quickly and efficiently. You can get your AI models into production in just one click, saving you months of DevOps work.

It also offers automated model monitoring and the ability to set up if-this-then-that automations with Zapier.

Obviously.ai enables real-time predictions by integrating AI into your apps or visualizing prediction data into your existing tools like PowerBI, Looker, and more. 

What is also great about this is they give you 24×7 access to a dedicated data scientist who can assist with data merging, enrichment, cleaning, and other statistical work.

It’s also worth mentioning that the company has received a seed round of $4.7M.

3. Google Teachable Machine

Google Teachable Machine is a web tool developed by Google Creative Lab that makes it fast and easy to create Machine Learning models for your projects, with no coding required.

Basically, it allows users to train a computer to recognize their own images, sounds, and poses, then export the model for use in sites, apps, and more. 

It is built using the TensorFlow.js library, and there is a boilerplate version of the project that can be used as a starting point for your own projects. 

This tool is great for anyone who wants to learn about machine learning and computer vision, including educators, students, and individuals. It’s a fun and easy way to get started with machine learning.

4. Microsoft Lobe

Microsoft Lobe is a user-friendly desktop software that makes it easy for anyone to create Machine Learning Models for image recognition, even if they don’t have any experience in programming or data science. 

Lobe learns from the examples you give it and then uses that knowledge to create a custom machine learning model that can be used in your app. This approach is in line with Microsoft’s existing Azure ML Studio platform, which also offers a drag-and-drop interface for building machine learning models.

The beauty of Lobe is that it’s a free desktop app that works on both Windows and macOS. It’s designed to be simple and intuitive, using a drag-and-drop interface that makes the process of building machine learning models as easy as playing a game. Here is how it works:

But Lobe isn’t just for beginners. It’s also a powerful tool for developers who want to add machine-learning capabilities to their own apps. Once the model is trained, it can be easily exported to run on industry-standard platforms and integrated into apps, websites, or devices.

5. Cogniflow

Cogniflow lets you easily create artificial intelligence models from text, image, or audio, all without writing a single line of code. You can start right away by using a model already trained, what we call a public experiment. You can do sentiment analysis on customer reviews, extract information from any text or image, transcribe audio, and many more.

One of the standout features of Cogniflow is its ability to train AI models based on your specific needs. For example, if you work in customer support and want to automatically classify the intent of your customer interactions, you can use Cogniflow to train an AI model using data from previous interactions. All you need is a spreadsheet of data, and Cogniflow takes care of the rest.

Cogniflow isn’t just for text data, though. If you’re a doctor and want to automatically classify X-ray images to prioritize your patients, you can use Cogniflow to create an image experiment. You simply upload images organized by folders, with each folder representing a category or classification, and Cogniflow does the rest.

Another exciting feature of Cogniflow is its ability to create a question-answering system. If you have documentation about your company’s services and want to provide a better way for your customers to search for information, Cogniflow can help. You upload your documents, and Cogniflow creates a model that can answer open questions and tell you where that information is located.

6. Akkio

Akkio is a no-code AI platform that enables businesses to build and deploy AI with their data without coding.

The platform is designed to boost productivity, speed, and efficiency with an analytics platform powered by generative AI. This means Akkio can help you get rapid insights and make visionary predictions that can give your business a competitive edge.

Akkio is versatile and user-friendly. It can be used to automate workflow processes for non-technical knowledge workers, and it can extract, classify, generate, or summarize pieces of text. Whether you’re working with images, documents, or text, Akkio can help you supercharge your productivity.

But that’s not all. Akkio also provides a no-code AutoML solution that allows non-tech professionals to build and deploy multiple AI for various tasks like churn reduction, attrition prediction, and fraud detection.

For example, you can use it to predict the time-to-close for sales leads and prioritize which opportunities to pursue. You can also use it to predict the likelihood of customer renewal, and even predict which deals will be the most lucrative.

7. Nanonets

Nanonets AI platform allows users to build deep learning models for media companies, e-commerce, multi-label classification, and intelligent document processing.

Nanonets is designed to make your life easier by automating the process of extracting data from documents. If your business spends a lot of time and resources on importing data from forms, text documents, and similar sources, Nanonets could be the solution you’ve been looking for.

Nanonets uses machine learning to pull out structured or semi-structured data from documents. This could be anything from names and addresses on forms to specific pieces of information in text documents. 

NanoNets has also been used to create machine learning models for a variety of applications, including object detection, image classification, content moderation, and others. 

Furthermore, NanoNets can be used in conjunction with drones to develop custom deep learning models for detecting a variety of objects in images captured by drones with limited data and machine learning knowledge.

8. Levity.ai

Levity is a no-code AI tool to automate workflow processes that specializes in classifying images, text, and documents, allowing users to train custom models based on their specific needs.

One of the unique features of Levity is its Human-in-the-Loop option. This means that the model can ask for input when it’s unsure about something, and it will automatically learn from these interactions.

But Levity is more than just a classification tool. It’s an end-to-end solution that integrates with all the tools you use on a daily basis. This means you can seamlessly incorporate Levity into your workflow, making it easier to manage and analyze your data.

9. Amazon SageMaker

Amazon SageMaker is a comprehensive machine learning service provided by Amazon Web Services (AWS) that equips you with the tools to build, train, and deploy machine learning models for predictive analytics applications. 

SageMaker takes care of the heavy lifting involved in setting up a production-ready artificial intelligence pipeline. Basically, it simplifies the process of machine learning modeling into three easy steps: preparation, training, and deployment. This means you can focus on the important stuff, like improving your models and getting results, instead of worrying about the technical details.

SageMaker operates in the Amazon Elastic Compute Cloud (EC2), providing a fully managed machine learning instance. It also supports the open-source Jupyter Notebook web application, which allows developers to share live code. This means you can easily access data sources for exploration and analysis without having to manage servers.

One of the standout features of SageMaker is the Autopilot feature, which automates machine learning tasks, making the machine learning experience even simpler. 

SageMaker is also versatile. It supports leading machine learning frameworks, toolkits, and programming languages, and allows users to customize foundation models using a complete set of machine learning tools. 

This includes Amazon SageMaker Experiments, which lets you test different models, and Amazon SageMaker Pipelines, which allows you to create, automate, and manage end-to-end machine learning workflows at scale.

AI No Code Tools Wrapping Up

So as you can see, the world of AI is no longer exclusive to those with extensive coding knowledge or large teams of data scientists. The rise of no-code AI tools enables businesses of all sizes and individuals from various backgrounds to harness the power of AI.

So, whether you have an idea for your AI business or want to implement it in your exsiting business or start, there’s never been a better time to explore the power of AI. With these no-code AI tools, the future of AI is not just accessible, but it’s also in your hands.