AI talent acquisition powered by 3D candidate data

Findem is a Redwood City-based AI talent acquisition and management platform that differentiates itself through what it calls “3D data” — a continuously refreshed, attribute-enriched view of candidates built from 100,000+ sources (including GitHub, patents, publications, company funding events, and ATS data), that captures a person’s career trajectory over time rather than just a static resume snapshot. This proprietary data layer enables attribute-based search: rather than keyword matching, recruiters can search for candidates who have, for example, helped a company grow from Series C to IPO or driven a business from negative to positive operating margin. Findem raised $51M in a Series C led by Silver Lake Waterman in October 2025, bringing total funding to $105M. It serves customers including RingCentral and Nutanix, and has achieved 3x year-over-year growth.

Compliance

GDPR SOC 2

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Key Features

  • 3D Talent Data Cloud: A data layer built from 800M+ enriched candidate profiles across 100,000+ sources, time-ordered to reflect career trajectories rather than static point-in-time snapshots — Findem’s primary differentiator.
  • Attribute-based search: Natural language and semantic search that understands intent rather than matching keywords, allowing searches like “CFO who drove a company from negative to positive operating margins” — queries that resume keyword search cannot answer.
  • Copilot for sourcing: AI that turns job descriptions into candidate shortlists with one click, learns from recruiter feedback to improve match quality, and applies diversity filters throughout the sourcing process.
  • Candidate rediscovery: Searches the ATS with enriched, time-current 3D profiles, surfacing past candidates who match today’s openings that static ATS data would miss.
  • Talent CRM: Automated personalized nurture campaigns that maintain candidate relationships over time, with relationship tagging and journey tracking across the talent funnel.
  • Market intelligence and DEI analytics: Insight into talent pools, competitive workforce data, and diversity pipeline metrics — including a partnership with AnitaB.org to build structured attributes for underrepresented talent.

Use Cases

  • For sourcing hard-to-find technical talent: An engineering team searches for candidates by specific career-stage attributes (company stage, scale-up experience, particular technical milestones) that keyword search would miss entirely.
  • For diversity hiring programs: A company with formal DEI goals uses Findem’s diversity filters and attribute-based search to build candidate pipelines with underrepresented talent that standard sourcing tools do not surface.
  • For ATS rediscovery at scale: A company with years of accumulated ATS data uses Findem to re-surface silver medalists and past applicants using enriched, current profiles rather than stale application data.

Pricing MODELS

Saas subscription

Pricing Summary

SaaS subscription, custom enterprise pricing. Not publicly listed. Third-party sources suggest annual costs in the range of $15,000–$40,000+ depending on seats and features, but these are not confirmed by Findem. Contact sales for current pricing.

Company Size Fit

Enterprise Mid-market

Technical Snapshot

API Available

Yes

LLM Provider

Proprietary

Open Source

No

Deployment Options

Cloud Saas

Notable Customers

Undisclosed

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