Here's five promising indie machine learning startups to keep an eye on for future achievements in the A.I. development. Image Source: TechCrunch

Apple Inc. (NASDAQ; AAPL), bought machine learning startup Tuplejump. The Indian-based firm is the fourth AI venture the Silicon Valley overlord has acquired over the last year. Tech giants as Apple, Microsoft, Intel, or Google are all investing on the field.

In particular, Apple has made a significant investment in machine learning, not only buying Perceptio in 2015 and Turi and Emotient on 2016 but also creating a dedicated department to develop AI technologies.

Machine learning is the field that gives computers the ability to learn without explicit programming. The world is booming with these increasingly popular startups, and, as Tuplejump, it is worth to look which ones could become the next billionaire firm overnight.

Apple is on a machine learning company buying spree. After buying Perceptio at the end of 2015 and Turi just a few months ago, Apple has now acquired Tuplejump. Image Source: Doc Player
Apple is on a machine learning company buying spree. After buying Perceptio at the end of 2015 and Turi just a few months ago, Apple has now acquired Tuplejump. Image Source: Doc Player made the top of Y Combinator Winter list of promising 2016 machine learning& data science startups

Palo Alto-based MSG goes straight to businesses. It’s an artificial intelligence messaging platform for commerce. Their chatbots provide personal, VIP support to the customers via the usual favorite apps like Facebook Messenger, Twitter DM, WhatsApp and others.

Their tech is all about machine learning. A complex code automates interaction in real time and triggers contextual answers throughout the client’s request.  However, the AI startup still trusts humans for the harder and more sensitive situations.


Interstate Analytics made the third place on the list

American company Intestate is a powerful marketing analytics startup that offers metric and data to monitor the performance of a company’s spending on digital advertising.

The system applies predictive modeling to help enterprises allocate their budget, target the right customers and save some money in the process. Also, they allow cross-device tracking and integration with the most popular apps worldwide.


GitPrime is the only social network on Y Combinator’s list

As a cousin to the popular GitHub, GitPrime – from Colorado – wants to make software engineering faster, bigger and easier. The network uses statistical data and monitoring of source codes to help design teams understand their workflow and improve how they build their software.

Their platform identifies patterns that eventually provides personalized recommendations. The software analyzes the weekly performance of the members of GitPrime and provides them with rich, productive data and feedback.


Their productivity analytics for software team goes by facts and not by feeling, as they say. The startup explains that engineering teams to great enterprises tend to lose track of their work and suffer the pressure of subjective and arbitrary management.

So, as GitPrime works as a sort of social media for engineers, it allows developer teams to communicate and share their progress with the rest of the organization and help stockholders understand how things are going.

Onfido has an active Series B funding round of $25 million in April by Idinvest Partners


It’s worth noticing that Oxford graduates founded Onfido. The London-based startup plugs into various public databases to quickly verification a person’s identity and check their backgrounds. It could find things like driving and criminal records to a heart condition.


Echobox has raised $3.4 million Series A funding in July by Mangrove Capital Partners

Also from London, this machine learning startup is building AI for the publishing industry. Founder Antoine Ammann, a Cambridge graduate, claims it will be the world’s first artificial intelligence that understands the meaning of the content.


Amman recently wrote on a blog that Echobox has developed an AI that takes large quantities of variables into consideration and analyzes them in real time to find the optimum answer and performance.

The venture offers a predictive tool that optimizes content for social medias and aims to do the analytics for companies as Facebook and Twitter, as well as content testing and curation. They have already worked with UK news outlets Vice and The Telegraph.

Final notes

These startups have a unique value to deliver, but they are certainly not the only ones to shine on 2016. Machine learning technologies could be the essence of data and computer science by the year 2020.

Source: Analytics Vidhya