No code AI tool / software

Last update: December 27, 2024

No code AI tools allow non technical personnel use machine learning models to make predictions. +Show More

These no code tools allow non technical personnel use machine learning models to make predictions.

 

To qualify as a no code AI tool, a solution needs to:

 

  • Provide a drag&drop or copy paste interface for data input
  • Automatically make predictions based on training data
If you’d like to learn about the ecosystem consisting of No code AI tool / software and others, feel free to check AIMultiple Machine Learning.
How relevant, verifiable metrics drive AIMultiple’s rankings

AIMultiple uses relevant & verifiable metrics to evaluate vendors.

Metrics are selected based on typical enterprise procurement processes ensuring that market leaders, fast-growing challengers, feature-complete solutions and cost-effective solutions are ranked highly so they can be shortlisted.
Data regarding these metrics are collected from public sources as outlined in the “What are AIMultiple’s data sources?” section of this page.


There are 2 ways in which vendor metrics are processed to help prioritization:
1- Vendors are grouped within 4 metrics (customer satisfaction, market presence, growth and features) according to their performance in that metric.
2- Vendors that perform high in these metrics are ranked higher in the list.


The data used in each vendor’s ranking can be accessed by expanding the vendor’s row in the below list.
This page includes links to AIMultiple’s sponsors. Sponsored links are included in “Visit Website” buttons and ranked at the top of the list when results are sorted by “Sponsored”. Sponsors have no say over the ranking which is based on market data. Organic ranking can be seen by sorting by “AIMultiple” or other sorting approaches. For more on how AIMultiple works, please see the ethical standards that we follow and how we fund our research.

Products Position Customer satisfaction
DataRobot logo

DataRobot

Leader
Satisfactory
DataRobot's automated machine learning platform makes it fast and easy to build and deploy accurate predictive models.
Basis for Evaluation

We made these evaluations based on the following parameters;

Customer satisfaction
Average rating
4.69 / 5 based on ~60 reviews
Market presence
Number of case studies
40-50 case studies
Company's number of employees
1k-2k employees
Company's social media followers
100k-1m followers
Total funding
$1-5bn
# of funding rounds
11
Latest funding date
June 27, 2021
Last funding amount
$250-500m
Company
Type of company
private
Founding year
2012
Studio Creatio logo

Studio Creatio

Leader
Satisfactory
Studio Creatio is a no-code platform with composable architecture to automate workflows and build applications with maximum degree of freedom. It combines a range of no-code tools that enable users to create powerful business applications in hours and minutes instead of weeks. Thanks to its focus on drag-and-drop development tools, even users without deep technical skills can successfully implement business applications, automated workflows, ML/AI-powered models for data-backed decision making, and business rules. Studio Creatio offers one environment for workflow development, automation, and orchestration. You can create your own process templates, utilize workflow automation solutions from Creatio marketplace, and connect multiple departments, systems, and data stores into a unified digital ecosystem. Studio Creatio provides extensive integration capabilities (.Net tools, REST, SOAP, OData, open API), advanced identity and access management, and flexible organization structure management, all of which ensure swift integration of Creatio into the software ecosystem of any company.
Basis for Evaluation

We made these evaluations based on the following parameters;

Customer satisfaction
Average rating
4.75 / 5 based on ~20 reviews
Market presence
Company's number of employees
400-1k employees
Company's social media followers
50k-100k followers
Clarifai AI Platform logo

Clarifai AI Platform

Leader
Satisfactory
Clarifai is a leading deep learning AI platform for computer vision, natural language processing, and automatic speech recognition. We help enterprises and public sector organizations transform unstructured images, video, text, and audio data into structured data, significantly faster and more accurately than humans would be able to do on their own. The platform comes with the broadest repository of pre-trained, out-of-the-box AI models built with millions of inputs and context. They detect explicit content, faces as well as predict attributes such as food, textures, colors and people within unstructured image, video and text data. Our models give you a head start; extending your own custom models.
Basis for Evaluation

We made these evaluations based on the following parameters;

Customer satisfaction
Average rating
4.45 / 5 based on ~20 reviews
Market presence
Number of case studies
20-30 case studies
Company's number of employees
100-200 employees
Company's social media followers
50k-100k followers
Total funding
$100-250m
# of funding rounds
4
Latest funding date
October 15, 2021
Last funding amount
$50-100m
Company
Type of company
private
Founding year
2013
MonkeyLearn logo

MonkeyLearn

Leader
Satisfactory
Text Analysis and Machine Learning made easy.
Basis for Evaluation

We made these evaluations based on the following parameters;

Customer satisfaction
Average rating
4.18 / 5 based on ~20 reviews
Market presence
Number of case studies
10-20 case studies
Company's number of employees
5-10 employees
Company's social media followers
20k-30k followers
Total funding
$1-5m
# of funding rounds
6
Latest funding date
November 15, 2021
Last funding amount
$1-5m
Company
Type of company
private
Founding year
2014
MLJAR logo

MLJAR

Leader
Satisfactory
Automated Machine Learning platform.
Basis for Evaluation

We made these evaluations based on the following parameters;

Customer satisfaction
Average rating
4.40 / 5 based on ~20 reviews
Market presence
Company's number of employees
5-10 employees
Company's social media followers
1k-2k followers
Company
Type of company
private
Founding year
2016
Intersect Labs logo

Intersect Labs

Challenger
N/A
Intersect Labs enables anyone to do machine learning in 3 clicks. Companies big and small use Intersect Labs to empower business users to convert their historical data into predictions, enabling intelligent, data-driven decisions.
Basis for Evaluation

We made these evaluations based on the following parameters;

Customer satisfaction
Average rating
4.90 / 5 based on 7 reviews
Market presence
Number of case studies
1-5 case studies
Company's number of employees
5-10 employees
Company's social media followers
300-400 followers
Total funding
$100,000-250,000
# of funding rounds
1
Latest funding date
August 19, 2019
Last funding amount
$100,000-250,000
Company
Type of company
private
Founding year
2018
Akkio logo

Akkio

Challenger
N/A
Akkio is a simple, visual, easy-to-use platform that enables anyone to supercharge everyday sales, marketing, and finance tasks with the power of AI. Train and deploy AI models in under 5 minutes. No consultants. No software to install. No sales conversations. No AI experience needed. Try free and see how AI can help grow your business.
Basis for Evaluation

We made these evaluations based on the following parameters;

Customer satisfaction
Average rating
4.70 / 5 based on 5 reviews
Market presence
Company's number of employees
30-40 employees
Company's social media followers
5k-10k followers
Total funding
$10-50m
# of funding rounds
2
Latest funding date
August 1, 2023
Last funding amount
$10-50m
Company
Type of company
private
Founding year
2019
Teachable Machine logo

Teachable Machine

Challenger
N/A
Basis for Evaluation

We made these evaluations based on the following parameters;

Customer satisfaction
Market presence
Company's number of employees
100k-1m employees
Company's social media followers
50m-60m followers
RunwayML logo

RunwayML

Challenger
N/A
Basis for Evaluation

We made these evaluations based on the following parameters;

Customer satisfaction
Average rating
5.00 / 5 based on 1 review
Market presence
Company's number of employees
200-300 employees
Company's social media followers
100k-1m followers
Total funding
$100-250m
# of funding rounds
6
Latest funding date
June 29, 2023
Last funding amount
$100-250m
Company
Type of company
private
Founding year
2018
Levity logo

Levity

Challenger
N/A
Levity enables non-technical people to build AI-powered workflow automations without code. Users create their custom AI to automate complex workflows involving free text, PDFs or images. Popular use-cases include: - Support ticket classification - Email attachment classification - Automated quality inspection
Basis for Evaluation

We made these evaluations based on the following parameters;

Customer satisfaction
Average rating
3.80 / 5 based on 2 reviews
Market presence
Number of case studies
1-5 case studies
Company's number of employees
20-30 employees
Company's social media followers
4k-5k followers
Total funding
$10-50m
# of funding rounds
2
Latest funding date
October 12, 2022
Last funding amount
$5-10m
Company
Type of company
private
Founding year
2020

“-”: AIMultiple team has not yet verified that vendor provides the specified feature. AIMultiple team focuses on feature verification for top 10 vendors.


Sources

AIMultiple uses these data sources for ranking solutions and awarding badges in no code AI tools / software:


15 vendor web domains
40 case studies
11 funding announcements
40 social media profiles
33 profiles on review platforms
19 search engine queries

no code AI Leaders

According to the weighted combination of 4 metrics

DataRobot logo
Clarifai AI Platform logo
Studio Creatio logo
MonkeyLearn logo
MLJAR logo

What are no code AI
customer satisfaction leaders?

Taking into account the latest metrics outlined below, these are the current no code AI customer satisfaction leaders:

DataRobot logo
Clarifai AI Platform logo
Studio Creatio logo
MonkeyLearn logo
MLJAR logo

Which no code AI solution provides the most customer satisfaction?

AIMultiple uses product and service reviews from multiple review platforms in determining customer satisfaction.

While deciding a product's level of customer satisfaction, AIMultiple takes into account its number of reviews, how reviewers rate it and the recency of reviews.

  • Number of reviews is important because it is easier to get a small number of high ratings than a high number of them.
  • Recency is important as products are always evolving.
  • Reviews older than 5 years are not taken into consideration
  • older than 12 months have reduced impact in average ratings in line with their date of publishing.

What are no code AI
market leaders?

Taking into account the latest metrics outlined below, these are the current no code AI market leaders:

DataRobot logo
Clarifai AI Platform logo
Studio Creatio logo
MonkeyLearn logo
MLJAR logo

Which no code AI products published the most case studies?

We analyzed 40 no code AI case studies and found that these products are the top contributors:

  • DataRobot
  • MonkeyLearn

Which one has collected the most reviews?

AIMultiple uses multiple datapoints in identifying market leaders:

  • Product line revenue (when available)
  • Number of reviews
  • Number of case studies
  • Number and experience of employees
  • Social media presence and engagement
Out of these, number of reviews information is available for all products and is summarized in the graph:

DataRobot
Clarifai AI Platform
MonkeyLearn
Studio Creatio
MLJAR

What are the most mature no code AI tools / software?

Which one has the most employees?

Google logo
DataRobot logo
Creatio logo
Runway logo
Clarifai logo

Which no code AI companies have the most employees?

25 employees work for a typical company in this solution category which is 2 more than the number of employees for a typical company in the average solution category.

In most cases, companies need at least 10 employees to serve other businesses with a proven tech product or service. 8 companies with >10 employees are offering no code ai tools / software. Top 3 products are developed by companies with a total of 300k employees. The largest company in this domain is Google with more than 300,000 employees. Google provides the no code AI solution: Teachable Machine

Google
DataRobot
Creatio
Runway
Clarifai

Insights

What are the most common words describing no code AI tools / software?

This data is collected from customer reviews for all no code AI companies. The most positive word describing no code AI tools / software is “Easy to use” that is used in 16% of the reviews. The most negative one is “Expensive” with which is used in 3% of all the no code AI reviews.

What is the average customer size?

According to customer reviews, most common company size for no code AI customers is 1-50 Employees. Customers with 1-50 Employees make up 46% of no code AI customers. For an average Machine Learning solution, customers with 1-50 Employees make up 24% of total customers.

Customer Evaluation

These scores are the average scores collected from customer reviews for all no code AI tools / software. No code AI tools / software are most positively evaluated in terms of "Customer Service" but falls behind in "Value For Money".

Overall
Customer Service
Ease of Use
Likelihood to Recommend
Value For Money

What are the benefits of no code AI?

The most commonly cited benefits of no code AI are:

  • Time saving
  • Increased visibility
  • Cost saving
  • Enhanced collaboration
  • Scalability
  • Increased flexibility
  • Reduced rework

Discover all no code AI benefits

Where are no code AI vendors' HQs located?

What is the level of interest in no code AI tools / software?

This category was searched on average for 455 times per month on search engines in 2024. This number has decreased to 0 in 2025. If we compare with other machine learning solutions, a typical solution was searched 3.6k times in 2024 and this decreased to 0 in 2025.

Learn more about No code AI tools / software

No-code AI platforms allow users without a programming background to build, train and deploy AI models. They offer a graphical user interface features, helping users drag-and-drop elements to create AI applications.

This depends on the capabilities of the specific tool you are using. For instance, you can build chatbots, automated workflows, data analytics dashboards.

Many no-code AI platforms provide integration capabilities, making it easir for members to work on projects simultaneously.