In a competitive hiring environment, the ability to find exceptional talent that does not necessarily break down your door is extremely desirable and not at all times easy to achieve. That’s why so many firms are now turning to AI-powered talent acquisition and management startups to help them search for exceptional candidates.
One such startup Find ithas secured $51 million in equity and debt financing, the company reports exclusively to Crunchbase News.
The raise includes a $36 million Series C round, which he leads SLW (Silver Lake Waterman) featuring Wing enterprise capital, Capital of Harmony AND Four Rivers Groupin addition to $15 million in development financing from JP Morgan. This financing brings Findem’s total funding since its inception in 2019 to $105 million, of which $90 million is equity capital for the company.
Redwood City, California-based Findem’s mission is easy, even if its methods are not. It goals to change the way firms “identify, attract and engage top talent.”
The startup uses what it calls 3D talent data (from a dataset compiled from 1.6 trillion data points), which it combines with artificial intelligence to automate “key parts of the talent lifecycle.” These parts include building pipelines of interested candidates from the top of the funnel, searching for executives, and analyzing the workforce and labor markets.
In an interview with Crunchbase News, co-founder and CEO Pool Day stated that Findem’s user base has grown “about 100 times” over the past 12 months, and the company is seeing 3x year-over-year growth. Over the last 12 months, the corporate customer base has increased threefold.
It has a user base of over 12,000 customers, including from Adobe, Box, Medallions, Nutanix AND RingCentral– Kolam said.
Currently, Findem operates on a SaaS business model, charging per space. According to Kolam, as the company expands its agent capabilities, it also plans to add a performance-based model. It’s not profitable yet.
Findem is just one of several start-ups at the intersection of artificial intelligence and recruitment around the world raised enterprise capital in 2025. According to Crunchbase data, at the starting of September, global investments in startups in the HR, recruitment and employment categories amounted to roughly $2.3 billion. This puts funding on track for year-over-year growth, at the same time as investment stays at a fraction of the levels achieved at the market’s peak, as shown below.
How it really works
Seeing the Findem platform in motion provides greater insight into the way it helps firms focus on the specific talent they are looking for.
Let’s say a startup wants to hire a software engineer who has worked at the company from its early days until it raised a Series C round of funding. But it also wants that engineer to have a GitHub profile he can browse. Or, let’s say a company wants to hire competitive developers who have successfully exited, or CFOs who have taken the company from a negative operating margin to a positive one.
The Findem software will allow you to filter all the desired attributes.
The startup says it is able to help firms recruit in this specific way because its 3D data combines people and company data over time in a format suitable for AI evaluation. It claims its “continuously improved” 3D dataset is “exponentially larger and more fact-based” than traditional candidate data sources, making it a powerful tool for deep evaluation and automated workflows.
Using a combination of information and artificial intelligence, Findem creates 3D profiles, also called “enriched” profiles, for each candidate it helps bring to the surface. The purpose of the profiles is to provide a “detailed and fact-based picture” of an individual’s “career path and impact.”
So where does all this data come from? Findem claims to constantly use the language model to generate 3D data from over 100,000 sources collected chronologically (earliest to newest).
These sources include LinkedIn, GitHub, Doximity, WordPress, personal web sites, US Census Bureau, company financing announcements and IPO details, business models, over 300 million patents and publications, over 5 million open datasets and ML projects, and over 200 million open source code repositories.
It also pulls candidate profile information from applicant tracking systems akin to Workday, BambooHR, Bullhorn, Greenhouse, Jobvite, and Lever, among others.
This comprehensive data retrieval is what Kolam says sets Findem apart. Some other hiring tools rely on one-dimensional data from resumes or LinkedIn profiles, which he says “only provide a snapshot of someone’s career…without the context that reveals true potential.” Kolam says it takes “a lot of manual effort” to confirm and interpret the data.
“Just looking at a resume on paper really doesn’t tell the whole story about how qualified a candidate might actually be or whether they really meet the criteria that a particular employer is looking for,” Kolam maintains.
Findem focuses primarily on North American customers who have users around the world. The expansion also covers Europe. The company has a second headquarters in Bangalore, India.
Kolam declined to disclose Findem’s valuation, saying only that it was a “significant increase and over 2x” compared to the valuation when it raised a Series B extension of over $17 million in December 2023.
Shawn O’Neillmanaging partner at SLW, told Crunchbase News via email that his firm met Kolam before Findem launched its Series B and then “followed the company’s trajectory for some time.”
“What attracted us to Findem was not just the technology, but the traction,” he said. The team has achieved strong business momentum by tackling one of the most persistent challenges in HR – connecting data, knowledge and human power in a way that truly translates into business results.
But technology didn’t hurt.
According to O’Neill, Findem’s foremost differentiator is its “data advantage… in a market where most companies simply complete an LLM.”
“The depth and breadth of their 3D profiles and web-scale datasets are unlike anything else on the market,” he said. “The UX is great, but the magic is in how the platform uses this data – it makes finding and understanding people effortless. We use it ourselves and see its power first-hand.”