Personal blog of Yzmir Ramirez

Without good data, it’s impossible to build an accurate predictive machine learning model. Explorium, a company that has been building a solution over the last several years to help data pros find the best data for a given model, announced a $75 million Series C today — just 10 months after announcing a $31 million Series B.

Insight Partners led today’s investment with participation from existing investors Zeev Ventures, Emerge, F2 Venture Capital, 01 Advisors and Dynamic Loop Capital. The company reports it has now raised a total of $127 million. George Mathew, managing partner at Insight, and former president and COO at Alteryx, will be joining the board, giving the company someone with solid operator experience to help guide them into the next phase.

Company co-founder and CEO Maor Shlomo, says that in spite of how horrible COVID has been from a human perspective, it has been a business accelerator for his company and he saw revenue quadruple last year (although he didn’t share specific numbers beyond that). “It’s related to the nature of our business. We’re helping enterprises and data practitioners find new data sources that can help them solve business challenges,” Sholmo explained.

He says that during the pandemic, a lot of companies had to find new data sources because the old data wasn’t especially helpful for predictive models. That meant that customers required new sources to give them visibility into the shifts and movements in the market to help them adjust and make decisions during pandemic. “And given that’s basically what our platform does in its essence, we’ve seen a lot of growth [over the past year],” he says.

With the revenue growth the company has been experiencing, it has been adding employees at rapid clip. When we spoke to Explorium last July, the company had 87 people. Today that number has grown to 130 with plans to get to 200 perhaps by the end of 2021 or early 2022, depending on how the business continues to grow.

The company has offices in Tel Aviv and San Mateo, California with plans to open a new office in New York City whenever it’s possible to do so. While Shlomo wants a flexible workplace, he’s not going fully remote with plans to allow people to work two days from home and three in the office as local rules allow.

In a world with growing amounts of data, finding the right set for a particular machine learning model can be a challenge. Explorium has created a platform to make that an easier task, and today the startup announced a $31 million Series B.

The round was led by Zeev Ventures, with help from Dynamic Loop, Emerge, 01 Advisors and F2 Capital. Today’s investment brings the total raised to $50 million, according to the company.

CEO and co-founder Maor Shlomo says the company’s platform is designed to help people find the right data for their model. “The next frontier in analytics will not be about how you fine tune or improve a certain algorithm, it will be how do you find the right data to fit into those algorithms to make them as useful and impactful as possible,” he said.

He says that companies need this more than ever during the pandemic because this can help customers find more relevant data at a time when their historical data might not be useful to help build predictive models. For instance, if you’re a retailer, your historical shopping data won’t be relevant if you are in an area where you can no longer open your store, he says.

“There are so many environmental factors that are now influencing every business problem that organizations are trying to solve that Explorium is becoming this […] layer where you search for data to solve your business problems to fuel your predictive models,” he said.

When the pandemic hit in March, he worried about how it would affect his company, and he put a hold on hiring, but as he saw business increasing in April and May, he decided to accelerate again. The company currently has 87 employees between offices in Israel and the United States and he plans to be at 100 in the next couple of months.

When it comes to hiring, he says he doesn’t try to have hard and fast hiring rules like you have a certain degree or have gone to a certain school. “The only thing that’s important is getting good people hungry to succeed. The more diverse the culture is, the more diverse the group is, we find the more fun it is for people to discover each other and to discover different cultures,” Shlomo explained.

In terms of fundraising, while the company needs money to fuel its growth, at the same time it still had plenty of money in the bank from last year’s round. “We got into the pandemic and we didn’t know how long it’s going to last, and [early on] we didn’t yet know how it would impact the business. Existing investors were always bullish about the company. We decided to just go with that,” he said.

The company was founded in 2017 and previously raised a $19.1 million Series A round last year.

Explorium, a data discovery platform for machine learning models, received a couple of unannounced funding rounds over the last year — a $3.6 million seed round last September and a $15.5 million Series A round in March. Today, it made both of these rounds public.

The seed round was led by Emerge with participation of F2 Capital. The Series A was led by Zeev Ventures with participation from the seed investors. The total raised is $19.1 million.

The company founders, who have a data science background, found that it was problematic to find the right data to build a machine learning model. Like most good startup founders confronted with a problem, they decided to solve it themselves by building a data discovery platform for data scientists.

CEO and co-founder, Maor Shlomo says that the company wanted to focus on the quality of the data because not much work has been done there. “A lot of work has been invested on the algorithmic part of machine learning, but the algorithms themselves have very much become commodities. The challenge now is really finding the right data to feed into those algorithms,” Sholmo told TechCrunch.

It’s a hard problem to solve, so they built a kind of search engine that can go out and find the best data wherever it happens to live, whether it’s internally or in an open data set, public data or premium databases. The company has partnered with thousands of data sources, according to Schlomo, to help data scientist customers find the best data for their particular model.

“We developed a new type of search engine that’s capable of looking at the customers data, connecting and enriching it with literally thousands of data sources, while automatically selecting what are the best pieces of data, and what are the best variables or features, which could actually generate the best performing machine learning model,” he explained.

Shlomo sees a big role for partnerships, whether that involves data sources or consulting firms, who can help push Explorium into more companies.

Explorium has 63 employees spread across offices in Tel Aviv, Kiev and San Francisco. It’s still early days, but Sholmo reports “tens of customers.” As more customers try to bring data science to their companies, especially with a shortage of data scientists, having a tool like Explorium could help fill that gap.