5 Deep Tech Data Science Companies

Priceless IP

It’s all about Big Data these days, and those with priceless IP in artificial intelligence (AI), machine learning (ML) and predictive analytics are set to become the trailblazers for a future where data rules. The Deep Tech Insider will now give our readers a heads up on five of the best in the sector, in no particular order of merit.

1. BigML

BigML was founded in 2011 by Francisco Martin, Tom Dietterich and José Antonio Ortega. Headquartered in Corvallis, Oregon, BigML offers a highly scalable, cloud-based ML service that is easy to use, seamless to integrate, and instantly actionable.

BigML works with small and big data. ML can be used to analyze and predict customer behaviour to increase customer loyalty, site visit behaviour to increase site conversion, diagnostics to support health care, hardware maintenance, risk profiles to process loan applications, stock levels to optimize the supply of goods, and many other applications where finding patterns in data creates new insights and using those patterns to predict, creates new value. Its service is simple to use, as you don’t have to be an expert to benefit from ML technology, just upload your data and start exploring.

To date, BigML has raised approximately $4.4 million in funding over five rounds.

2. RapidMiner

RapidMiner is reinventing enterprise AI so that anyone has the power to positively shape the future. It is doing this by enabling ‘data loving’ people of all skill levels, across the enterprise, to rapidly create and operate AI solutions to drive immediate business impact. It offers an end-to-end platform that unifies data prep, ML, and model operations with a user experience that provides depth for data scientists and simplifies complex tasks for everyone else. The RapidMiner Center of Excellence methodology and the RapidMiner Academy ensures customers are successful, no matter their experience or resource levels. More than 30,000 organizations in over 150 countries rely on RapidMiner to increase revenue, cut costs, and reduce risk.

RapidMiner is headquartered in Boston. Founded in 2007 by Ralf Klinkenberg and Ingo Mierswa, it has raised $37.2 million in funding over four rounds to date.

3. Domino Data Lab

Domino Data Lab powers model-driven business for the world’s most advanced enterprises, including over 20% of the Fortune 100. Founded in 2011 by Nick Elprin, Chris Yang and Matthew Granade, its Enterprise MLOps platform speeds up the development and deployment of data science work while increasing collaboration and governance, to scale data science into a competitive advantage. The platform enables thousands of data scientists to develop better medicines, grow more productive crops, adapt risk models to major economic shifts, build better cars, improve customer support, or simply recommend the best purchase to make at the right time. Domino is backed by leading venture capital firms: Sequoia Capital, Bloomberg Beta, Coatue Management, Dell Technologies Capital, Highland Capital Partners, In-Q-Tel, and Zetta Venture Partners.

The San Francisco-based data science company has raised an incredible $223.6 million over eight rounds. Its latest round, finalized in October of this year, was a $100-million Series F round.

4. deepsense.ai

Deepsense.ai is a Warsaw, Poland-based global AI-focused software startup founded in 2014 by Tomasz Kulakowski, Piotr Niedzwiedz, Tomasz Kulczynski, and Wojciech Smietanka. With offices now in Palo Alto, California, deepsense.ai excels at giving companies a competitive advantage by providing them with AI-based end-to-end solutions.

Its main focus is computer vision, predictive analytics and natural language processing — with ML and deep learning training programs also right up the startup’s alley. When it comes to supporting enterprises in building AI capabilities in-house, deepsense.ai has years of experience. Customers including Nielsen, L’Oréal, Intel, Nvidia, United Nations, BNP Paribas, Santander, Hitachi and many more have trusted the company with R&D and commercial projects.

Its unique methodology implemented on a daily basis by a world-class, 70-person team allows deepsense.ai to create flexible, solid solutions. In the meantime, it also does scientific research on AI. In collaboration with top universities, scientific institutions and global corporations, it has made crucial contributions to the field of Reinforcement Learning. Ultimately, the company regularly takes top places in important global data science competitions.

Since 2014, deepsense.ai has raised $6 million in VC funding over three rounds.

5. SigOpt (acquired by Intel)

Acquired by Intel in October of 2020, SigOpt’s optimization platform helps amplify clients’ research by taking any research pipeline and tunes it, right in place. Its cloud-based ensemble of optimization algorithms is proven and seamless to deploy, and is used by globally recognized leaders within the insurance, credit card, algorithmic trading and consumer packaged goods industries.

The San Francisco-based startup was founded in 2014 by Patrick Hayes and Scott Clark and had raised $8.7 million in funding over four rounds prior to Intel’s acquisition.