Findem review 2026: how its 3D Talent Data Graph and agentic AI recruiting tools work, custom enterprise pricing, pros, cons, and top competitor comparisons.
Category
Recruitment
Pricing
Custom / Quote-based (annual enterprise subscription), from Custom pricing (no published starting price; sales-quote only)
Verified
Not yet
Last updated
July 18, 2026
Founded
2019
Headquarters
Redwood City, California, United States
Web AppAPIAI
Overview
Findem is an enterprise AI talent intelligence platform built around a proprietary '3D data' model that unifies people, company, and time information into a single Talent Data Graph, allowing recruiters to search entire career histories rather than isolated resume keywords.
Founded in 2019 by Hariharan Kolam and Raghu Venkat and headquartered in Redwood City, California, Findem has raised approximately $105 million across Series A through Series C funding, most recently a $51 million round in October 2025 led by Silver Lake Waterman.
Key Features
The platform's Talent Data Cloud combines Success Signals (career and performance attributes) and Relationship Signals (network connections) with AI-generated search that converts job descriptions directly into sourcing criteria.
An agentic layer, orchestrated by an assistant called Fia, coordinates dedicated agents for job posting, candidate outreach, screening, and interview scheduling, while embedded products let technology partners integrate Findem's data and AI directly into their own platforms.
Pricing
Findem does not publish list pricing; access is sold through a sales-led process involving a demo and a custom quote based on seat count, modules selected, and contract length, with no self-serve signup or advertised free trial.
Third-party buyer research cites typical annual contracts ranging from roughly $8,000 to over $100,000 depending on team size and modules, with some reports describing per-seat annual pricing and newer outcome-aligned pricing tied to completed hires.
Key Features
3D Talent Data Graph — Unifies person, company, and time data into a time-ordered graph of roughly 1.6 trillion labeled data points and over a million searchable attributes.
AI-Generated Search Criteria — Automatically converts a job description into structured sourcing criteria, removing the need to manually build Boolean search strings.
Success Signals — Attributes correlated with historical career performance and progression, drawn from over a billion mapped career paths.
Relationship Signals — Surfaces how candidates connect to a company's existing employees, alumni, and networks to support warm outreach.
Agentic Workflow Automation — Purpose-built agents for job posting, application outreach, screening, and scheduling, coordinated by the Fia orchestration layer.
Candidate Rediscovery and CRM — Surfaces previously sourced or applied candidates already in a company's talent pool alongside new candidates from external channels.
Talent Market Analytics — Dashboards and AI assistants that help talent teams interpret market intelligence and workforce planning data.
Embedded Data and AI Products — An AI Job Board integration, Sourcing Copilot, and Data Labeling Engine that let technology partners embed Findem's data layer into their own platforms.
Pros & Cons
Pros
3D data model enables attribute-based search across entire career histories rather than isolated resume keywords
Agentic automation across sourcing, screening, and scheduling can reduce manual recruiter workload
Well-capitalized with roughly $105 million raised, including a 2025 Series C led by Silver Lake Waterman, suggesting product longevity
Embedded/OEM offerings let technology partners integrate Findem's data layer, extending its reach beyond direct recruiting teams
Cons
No published pricing; every deal requires a sales call and custom quote, which slows evaluation for smaller teams
No self-serve signup or advertised free trial, limiting accessibility for individual recruiters or very small companies
Third-party estimates suggest annual contracts can run well into five or six figures, pricing out smaller budgets
Vendor-reported performance claims (such as 24x faster sourcing) come from Findem's own case studies rather than independent audits
Pricing
Custom Enterprise Plan Custom (quote-based) Annual contract
Frequently Asked Questions
What is Findem's '3D data'?
3D data refers to Findem's approach of unifying person, company, and time information into a single time-ordered Talent Graph, letting the platform represent an entire career trajectory rather than a static resume snapshot.
How much does Findem cost?
Findem does not publish pricing. Access requires a sales demo and custom quote based on seat count and modules; third-party buyer research cites typical annual contracts ranging from roughly $8,000 to over $100,000.
Who founded Findem and when?
Findem was founded in 2019 by Hariharan Kolam and Raghu Venkat, and is headquartered in Redwood City, California.
How much funding has Findem raised?
Findem has raised approximately $105 million in total funding, including a $7.3 million Series A (2020), a $30 million Series B (2022) led by Wing Venture Capital, and a $51 million Series C (2025) led by Silver Lake Waterman.
Who are Findem's main competitors?
Findem's closest competitors in AI-powered talent intelligence and sourcing include SeekOut, hireEZ, Eightfold AI, and Gem, each with a different emphasis on database scale, outbound automation, workforce planning, or all-in-one recruiting operations.
Is there a free trial of Findem?
No public free trial is advertised. Findem is sold as an annual enterprise contract through a sales-led process.