7 Machine Learning and Data Science Start-Ups

Of all the AI-related fields, machine learning and data science are the most predominantly used technologies. Check out the top 7 machine learning and data science startups you must know about.

Machine Learning and Data Science StartUps

Check Out the Top 7 Machine Learning and Data Science Start-Ups

Think about today’s commercial sector, and you will realize that the space of Artificial intelligence has never looked more indispensable. Of all the AI-related fields, machine learning and data science are the most widely used technologies.

From health tech to fintech, operations to HR, analytics to customer service, every business function in every industry has begun seeing value in deploying artificial intelligence programs.

As the biggies like Google, Apple, Microsoft, Amazon continue to achieve breakthroughs by infusing their products with the latest Artificial intelligence technologies, multiple start-ups are entering the AI space and innovating at a never-before-pace. These start-ups are leaving a lasting impact by developing leading-edge data science and machine learning technologies. And these technologies are increasingly becoming an integral part of businesses’ decision-making processes on the strategic level.

Here we have rounded up 7 Machine learning and Data science start-ups who get our vote as worth keeping an eye on.

But before that…

What is Machine Learning?

Machine Learning
Machine Learning

It is one of the branches of Artificial intelligence (AI, machines that mimic human intelligence) and focuses on building systems or machines that learn for themselves and improve performance based on the “experience” of data they consume without being programmed.

Currently, machine learning has seeped into almost every part of our lives. During our smooth and secure interactions with banks, social media, or while shopping online, we experience the power of ML without being aware of it. However, we are only scratching the surface of its potential.

What is Data Science?

Data Science
Data Science

Data volumes have exploded thanks to the modern technology of the web, smartphones, and other sources of customer interactions. However, without data science, the wealth of the data is just sitting untouched in databases and data lakes. 

Data science constitutes data analysis, statistics, and scientific methods to extract value and draw meaningful insights from this data. It reveals trends that businesses leverage to make better decisions and innovate.

Data science empowers machine learning models to learn from the humungous data being fed to them. Both of these technologies offer tremendous potential to enable businesses to turn data into a competitive advantage.

Read More: The Importance of Data Science in the Modern World

Top 7 Machine Learning and Data Science StartUps

Having explained the basics, let’s get started with our top picks for 7 Machine learning and Data science start-ups.

  1. BigML

Founded on Jan 1, 2011

Founders: Adam Ashenfelter, Francisco J Marttin, Jos Verwoerd, Jose Antonio Ortega, Justin Donaldson, Tom Dietterich

Funding amounts:  A total of $4.4 M in funding over 5 rounds.

BigML has pioneered the Machine Learning as a Service (MLAAS) and has enabled businesses to make data-driven decisions. The start-up delivers a wide range of Machine learning resources that solve even the most complex Machine learning tasks. Its highly scalable and programmable app development software platform makes it simple to create and deploy smart applications.


  • Machine learning algorithms
  • Instant cloud or an on-premises deployment
  • Interpretable & Exportable Models
  • Collaboration
  • Automation
  • Cybersecurity & Privacy

  1. Apheris  

Founded in 2019

Founders: Robin Rohm, Michael Höh

Funding amounts:  A total of $ 3 M in funding over 2 rounds. 

Based in Berlin, Apheris enables enterprises to collaborate and analyze data with utmost data security and privacy, even in an environment with zero trust. Using its state-of-the-art technologies and techniques like decentralized computing, federated learning, and cryptographic protocols, organizations overcome the limitations of narrow datasets, acquire valuable insights and accelerate innovation.


  • Secure data collaboration
  • Internal & External collaboration
  • Data ecosystem
  • End-to-end protection

  1. Dataiku 

Founded in  2013

Founders: Florian Douetteau, Thomas Cabrol, Clement Stenac,Marc Batty,

Funding amounts:  Total of $646.8 M in funding over10 rounds. 

Everyday AI is their success mantra. Since 2013, Dataiku has been catalyzing the AI journey of hundreds of organizations and empowering them for data democratization and collaboration. The centralized data platform and battle-tested best practices have been leveraged by more than 450 companies worldwide for streamlining data, fraud detection, predictive maintenance, customer churn prevention, supply chain optimization, and much more. 


  • Data preparation
  • Visualization
  • Machine learning
  • DataOps
  • MLOps
  • Analytic apps
  • Collaboration
  • Governance
  • Architecture

  1. Actify Data Labs

Founded in  2016

Founders: Mark Gisi

Funding amounts:  A total of $ 1M in funding over 1 round.

Actify Data Labs has worked with leading brands to help them build strong data science capabilities. They have in-depth knowledge of machine learning, simulation and optimization, statistical learning, and high-end skilled resources across data science and data engineering. Adaptify, an end-to-end data platform by Actify data labs, enables organizations to build a secure architecture to convert data to dollars.


  • Risk management
  • Fraud prediction
  • Acquisition risk modeling
  • Marketing & customer analytics
  • AI/ML Enablement Services

  1. Atlan

Founded in Jan 2018

Founders: Prukalpa Sankar, Varun Banka   

Funding amounts: A total of $ 19 M in funding over 2 rounds.

A data democratization company, Atlan has stress-tested more than 200 data projects, including the world’s largest government data lake- India’s national data platform. They enable data teams to collaborate frictionlessly and democratize internal and external data in over 50 countries.


  • Data catalog & discovery
  • Data lineage & governance
  • Data quality & profiling
  • Data exploration & integrations

  1. Explorium

Founded in 2017

Founders:  MaorShlomo, Omer Har, Or Tamir  

Funding amounts: A total of $ 125.1 M in funding over 4 rounds.

Explorium offers an external data platform that automatically discovers, connects, and matches internal data with external data signals to enhance analytics and the machine learning experience. It has empowered data scientists and analysts across e-commerce, retail, fintech, insurance to decode buyer behavior, boost conversion, detect fraud, and assess risk with cost-efficiency and compliance. 


  • External data platform
  • ML engine
  • Signal studio
  • Risk management prediction models

  1. Iterative.ai

Founded in March 2018

Founders: Dmitry Petrov, Ivan Shcheklein

Funding amounts:  A total of $ 25.4 M in funding over 3 rounds.

Iterative.ai brings to the table their incredible expertise in data science and machine learning to build DVC, CML, and other leading open-source tools. It simplifies and solves the complex challenges organizations face in their machine learning journeys- dataset management, visualization, automation, experiment tracking, infrastructure, life cycle management, etc. 


  • Open-source Version Control System for ML
  • Continuous machine learning
  • ML experiment tracking, visualization, and collaboration


What we have got here is just a peek at some of the most exciting start-ups in Machine learning and Data science in 2021.

In reality, we can spend days digging up even more Machine learning and Data science start-ups across the globe who are making their marks with their innovations. There are many more start-ups working tirelessly towards the developments in various areas of Data science and Machine learning, making them accessible to everybody and realizing their maximum potential across diverse industries.

Author Details:

Name:  Ankit Thakor

Bio: Ankit Thakor is a marketer by trade and a football player by passion. He is a Saas Marketing Specialist at SoftwareWorld. He specializes in using compelling content to capture consumer dollars for world-class SaaS brands.

Ankit Social Media Profiles:  Twitter   Linkedin  Quora   

Read Also:

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2. How Artificial Intelligence is Shaping the Future of Business and Marketing?

3. The Role of Artificial Intelligence in eCommerce Industry

4. Benefits of Artificial Intelligence for Sales and Business Development

5. Modernize Your Business with Cloud and AI Now!

6. How BI Tools Can Help Improve Your Business Performance?

7. How to Become a Data Scientist: Step By Step Guide

8. Big Data vs Data Science: Key Differences and Similarities

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