- Explorium announced that it raised $19 million in funding to scale its new breed of data science platform
Explorium recently announced that it raised $19 million in funding to scale its new breed of data science platform fueled by Automated Data and Feature Discovery. The $19 million funding includes a $3.6 million seed round led by Emerge with participation of F2 Capital and a $15.5 million Series A led by Zeev Ventures with participation of the seed investors.
Israeli tech entrepreneurs Maor Shlomo, Or Tamir, and Omer Har are the founders of Explorium. They previously led large-scale data mining and optimization platforms for big data-based marketing leaders like ironSource and Natural Intelligence as well as the IDF’s elite 8200 intelligence unit.
“We are doing for machine learning data what search engines did for the web,” said Explorium co-founder and CEO Maor Shlomo. “Just as a search engine scours the web and pulls in the most relevant answers for your need, Explorium scours data sources inside and outside your organization to generate the features that drive accurate models.”
Even though recent strides in the automation of data science have largely focused on machine learning algorithms, the accuracy of predictive models is still dependent on the data that feeds them. And Explorium is the first company to empower data scientists with end-to-end automation of the data discovery and generation of ‘features’ — data attributes that can have predictive power.
“Explorium is defining a new category by changing how companies find relevant data for Artificial Intelligence. Maor, Or and Omer have built a mature product in such a short time, and Explorium’s customers are seeing a real impact by supercharging their businesses with new data and features,” added Zeev Ventures founding partner Oren Zeev.
Explorium’s platform connects a company’s internal data to thousands of external sources. And then it extracts the most relevant features from these new data sources and integrates them to power superior models. From there, lenders or insurers can use Explorium to automatically discover the most relevant predictive variables from thousands of new data sources, giving their risk prediction models an edge through better financial, geographic, personal and commercial context.
“Explorium’s vision of empowering data scientists by finding relevant data from every possible source in scale and thus making models more robust is creating a paradigm shift in data science. Working with the team from the very early days made it clear that they have the deep expertise and ability required to deliver such a revolutionary data science platform,” explained Emerge founding partner Dovi Ollech.
Explorium has had a monumental year resulting in rapid growth, operating across seven industries including financial services, CPG, retail and eCommerce. By extending its data catalog with proprietary data and partnerships, Explorium is now empowering machine learning models across a wide spectrum of customers from Fortune 100 companies to fast-growing startups.
“We are excited to partner with founders that are constantly driving new growth and value in the marketplace. Data is the new oil, and Explorium empowers companies to find and harness it for growth through Automated Data and Feature Discovery,” commented F2 Capital co-founder and managing partner Barak Rabinowitz.
