Home » INSIGHTS » Top Machine Learning Startups to Watch – Part 3

Top Machine Learning Startups to Watch – Part 3

Crunchbase today lists more than 8,705 startups and companies that rely on machine learning for their applications, products and services. According to Q4 2018 report by PwC/CB Insights MoneyTree, artificial intelligence-related firms raised $9.3B in 2018, an increase of 72 percent over 2017. And another study found that AI deals increased within a quarter from 104 to 116 deals. According to McKinsey, in marketing and sales, AI and machine learning have the potential to create an additional $2.6 T in value by 2020 and up to $2 T in planning the production and supply chain. Top start-ups offering machine learning services to watch this year:Machine


The energy and enthusiasm of this startup to turn concepts into code and products is outstanding. It is impressive to track their customer wins and the depth of features they provide in each release. Using AI, they can deliver measurable, scalable results to streamline talent management in an expanding company base. A company founded by former Google and Facebook AI scientists is showing potential to meet these challenges using advanced AI and machine learning techniques.Its founders have more than 6000 citations for research and more than 80 patents for search and personalization. What makes Eightfold.ai noteworthy is that it is the first AI-based Talent Intelligence Platform that combines analysis of publicly available data, internal data repositories, Human Capital Resource Management (HRM) systems, ATS tools, and spreadsheets to create ontologies based on organization-specific success criteria. Each ontology, or area of interest in talent management, can be customized to use the intuitive user interface of Eightfold for further queries.


H2O.ai provides a platform for open source machine learning that simplifies the development of smart applications driven by data. The H2O.ai platform is used by data scientists and developers to create, test and scale applications-based algorithms. Today, H2O.ai apps are used to predict fraud, churn customers, and solve many other complex issues that their customers have. Cisco, PayPal, and Progressive are key customers. Over five rounds, H2O.ai raised a total of $73.6 million in funding. Their latest funding came from a Series C round led by Nvidia and Wells Fargo on November 30th, 2017.


Innovaccer develops AI and machine-based learning systems for healthcare organizations to integrate complex data across multiple distributed sources and provide valuable insights for healthcare professionals. The Datashop application of Innovaccer includes proprietary modelling algorithms that standardize data and link data across multiple different sources of data. Innovaccer also provides care management, referral management and patient engagement solutions and has raised over four rounds a total of $54.1 M in funding. Their latest funding was raised from a Series B round led by the venture capital investment firm of Microsoft, M12 on Jan 16, 2019.

Keep watching this space for more.

Check Also

Pranav Pandya, Co-Founder & Chairman, Dev Information Technology deliberates on the future business model. How are the customer contracts undergoing changes as part of the changing business model? Will SLAs be now drawn in a different way?

SLAs will account for force majeure and WFH from now on

Pranav Pandya, Co-Founder & Chairman, Dev Information Technology deliberates on the future business model. How …

Do NOT follow this link or you will be banned from the site!