What Findem does
Findem is an AI-powered talent acquisition platform built around the world's largest expert-labeled talent dataset — billions of proprietary attributes derived from public web data, enriched with human-in-the-loop labeling that captures who a person really is beyond what's on their resume. The product unifies sourcing, screening, outreach, candidate relationship management, market intelligence, and DEI analytics into one workspace, with agentic workflows that calibrate searches, interview candidates, and recommend next steps for recruiters.
Unlike rip-and-replace ATS vendors, Findem sits alongside existing ATSes (Greenhouse, Workday, iCIMS, Lever) and acts as the AI brain that fills, ranks, and routes the pipeline. Customers like RingCentral, Adobe, Dell, Pinterest, and Cisco report cutting time-to-hire by 50%+ and dramatically expanding the diversity and quality of their candidate slates.
Who it's for
Findem targets talent acquisition leaders, sourcers, and recruiters at mid-market and enterprise companies who run high-volume technical, GTM, and executive hiring and want AI to do the heavy lifting on sourcing, screening, and engagement.
Pricing
Findem is sold via custom enterprise pricing based on seats, search volume, and add-ons such as DEI analytics and market intelligence.
Team & funding
Findem was founded in 2019 (launched publicly in 2020) by Hari Kolam (CEO) and Raghu Venkat (CTO) in Redwood City, California. The company raised a $5M seed, $30M Series A, $30M Series B in 2022, and $51M in Series C on October 21, 2025 led by SLW, with participation from Wing Ventures, Harmony Capital, Four Rivers Group, and J.P. Morgan growth financing — bringing total funding to $105M. Findem has grown 3X year over year, made the Inc. 5000 top-10%, and was named one of America's most innovative companies by Fortune and Fast Company in 2025.
Position vs competitors
Findem competes with hireEZ, SeekOut, Eightfold, Gem, and Beamery on AI sourcing, and with Greenhouse and Workday on broader talent workflows. Its differentiation is the proprietary expert-labeled attribute dataset, ATS-agnostic deployment, and a focus on agentic recruiter workflows.