Findem
Talent intelligence with autonomous sourcing across public and ATS data.
Findem is an AI talent intelligence platform that helps companies source, hire, and plan their workforce by looking at people through far more than their resumes. Founded in 2019 and based in the San Francisco Bay Area, it is built on what it calls a Talent Data Cloud, a layer of 3D data that combines information about people and the companies they have worked at over time into a form an AI can reason over.
Its signature capability is attribute-based search. Instead of matching keywords, Findem lets a recruiter search on career patterns and characteristics that are hard to express otherwise: an engineer who joined a startup early and stayed through its Series C and has a public GitHub profile, a CFO who took a company from a negative to a positive operating margin, or a competitive coder who has been through a successful exit. A Data Labeling Engine turns fragmented, unstructured career data into expert-labeled Success Signals and Relationship Signals, the latter mapping who has worked with whom so teams can find warm introductions and trusted referral paths.
On top of that data sit Findem Agents, agentic AI that can work alongside recruiters or run whole hiring workflows from calibration to delivering hire-ready candidates. The agents shape searches, write outreach that reflects a person's background, and move qualified candidates forward, and teams can build custom agents that follow their own hiring playbooks and standards. As it leans further into agents, Findem is moving toward outcome-based pricing rather than charging only per seat.
Findem spans sourcing, executive search, talent marketing, outreach, analytics, internal mobility, and workforce planning, and it is most often used by mid-market and enterprise teams whose hardest problem is finding scarce or passive talent rather than processing high inbound volume. It supports diversity-aware sourcing, integrates with existing applicant tracking systems so it sits alongside current workflows, and has expanded through acquisitions including skills-validation company Glider AI to verify candidates before they reach hiring managers. Customers include Adobe, Box, Medallia, and RingCentral.
Vendor details
Canonical URL
https://findem.ai
Category
Enterprise operations agent
Subcategory
Talent intelligence — autonomous sourcing
Company status
independent
Use cases & customers
Primary use cases
Target customers
Deployment options
In practice
You need an engineer who joined a startup early and stayed through its Series C, not just anyone with the right keywords. Findem's attribute-based search queries those career patterns directly, surfacing people a keyword search would miss.
Your best hires come through warm introductions you can't see at scale. Findem's Relationship Signals map who has worked with whom, surfacing trusted referral paths into passive candidates.
Sourcing for a hard-to-fill role eats your week of manual searching. Findem's Agents shape the search, run personalized outreach, and deliver hire-ready candidates to your team for review.
Agentic Index coverage score
7.0 / 14 capabilities · 50%
| Integrations & Tool CallingIntegrates across internal and external hiring sources including customer ATS systems, from which it ingests EEOC data where provided, alongside multichannel sourcing channels and CRM, and is positioned as built to work with existing systems rather than replacing them; Findem has also exposed its intelligence layer into agentic workflows on the ServiceNow AI Platform, Findem platform and responsible AI pages 2026-07-30 | Full |
|---|---|
| Workflow OrchestrationThe Talent Data Cloud automates top of funnel recruiting end to end, consolidating multichannel sourcing, candidate rediscovery, CRM, market intelligence and analytics into one workflow, with AI based automation running candidate matching, outreach and downstream recruiting steps; Findem frames the agents as executing autonomously because they run on enriched structured data rather than guesswork, Findem Talent Data Cloud documentation and platform pages 2026-07-30 | Full |
| Knowledge Grounding & RAGThe most differentiated knowledge layer found in the HR cluster: 3D data is a TIME ORDERED TALENT GRAPH OF 1.6 TRILLION EXPERT LABELLED DATA POINTS across people, companies and time, built on the premise that every person and every company has a trajectory, with EXPLAINABLE SIGNALS surfaced rather than opaque scores. It supports queries no resume database can answer, such as finding candidates who were part of a successful company exit or who took a company from negative to positive operating margin, Findem talent intelligence documentation and platform pages 2026-07-30 | Full |
| Human Oversight & GuardrailsFindem publishes a Responsible AI page as a first class part of its site and surfaces EXPLAINABLE SIGNALS rather than opaque scores, so a recruiter can see why a candidate surfaced, and the product is positioned to free talent teams for decisions rather than to make them. But no approval gate, guardrail configuration, confidence threshold or documented review step before agent action was retrieved, Findem responsible AI and platform pages 2026-07-30 | Partial |
| Security, Identity & GovernanceSOC 2 Type II active with an annual independent audit and the AUDIT FIRM NAMED PUBLICLY (Johanson Group), which few vendors do, plus continuous monitoring, role based controls, and physical, technical, organisational and administrative safeguards, a dedicated trust contact and a published vulnerability disclosure route. No ISO certification, downloadable artefact portal, penetration test statement or subprocessor list was retrieved, Findem responsible AI and security pages 2026-07-30 | Full |
| Observability & AuditabilityExplainable signals give visibility into WHY a candidate matched, and centralised analytics cover diversity, recruiting performance and labour market trends, which is meaningful transparency at the decision layer, but no agent action trace, reasoning log or audit trail over what the system did on a recruiter's behalf was documented, Findem platform and responsible AI pages 2026-07-30 | Partial |
| Memory & State PersistenceThe Talent Graph is explicitly time ordered and persists candidate and company history that agents read on every run, and candidate rediscovery depends on that retained history, but it is a shared data layer rather than an agent memory store and no per agent state retention across runs was documented, Findem platform pages 2026-07-30 | Partial |
| Deployment & Data ResidencyNo deployment model choice, region selection, hosting location or data residency commitment was documented on the pages reviewed, including the responsible AI and security section where such commitments would normally appear, Findem responsible AI and platform pages 2026-07-30 | Unable to verify |
| Prebuilt Agents, Templates & PacksNamed AI assistants ship embedded across the product, including a Search Assistant that builds a structured search from a natural language query, alongside consolidated applications for sourcing, rediscovery, CRM, market intelligence and analytics, but these are product modules rather than a prebuilt agent catalogue and no template library or agent marketplace was documented, Findem platform pages 2026-07-30 | Partial |
| Triggers & Channel CoverageMultichannel sourcing and outreach are documented along with candidate rediscovery against the existing database, so there is real reach, but no event trigger framework, scheduling engine or enumerated channel matrix was documented on the pages reviewed; workflows are principally recruiter initiated from a search, Findem platform pages 2026-07-30 | Partial |
| Model Flexibility & RoutingNo model selection, routing or bring your own model capability documented and no provider named anywhere on the pages reviewed including the responsible AI page, Findem platform and responsible AI pages 2026-07-30 | Unable to verify |
| APIs, SDKs & MCP ExtensibilityFindem has made its intelligence layer AVAILABLE TO AGENTS IN OTHER SYSTEMS, bringing real time talent intelligence into agentic workflows on the ServiceNow AI Platform, which is genuine outward interoperability, and ATS and system integrations are extensive. But no public developer documentation site, published API reference, SDK or MCP implementation was retrieved, so the open build surface is unproven, Findem talent intelligence documentation 2026-07-30 | Partial |
| Testing, Debugging & OptimizationNo test environment, simulation harness or scored evaluation of agent behaviour was documented. MATERIAL IN THIS CATEGORY SPECIFICALLY: no independent bias audit summary, adverse impact testing, NYC Local Law 144 audit disclosure or EU AI Act risk classification was retrieved on Findem's own Responsible AI page, which is where such artefacts would be published, in a product category where candidate ranking may constitute an automated employment decision tool. Findem does disclose its demographic data handling and co hosts employment fairness content with an AI assurance vendor, but neither is an independent audit, Findem responsible AI page 2026-07-30 | Unable to verify |
| Browser & Computer UseNo browser control or computer use capability documented; the platform aggregates and analyses talent data and acts through ATS and channel integrations rather than by operating a browser or a human interface, Findem platform pages 2026-07-30 | Unable to verify |
The Agentic Index coverage score grades every vendor Full, Partial or Unable to verify against the same 14 buyer facing capabilities, from public evidence only. Each capability links to how all vendors in the index score on it. How this evidence is graded
Recent platform changes
Findem introduced Simple Shortlist, a redesigned candidate shortlist experience built to help recruiters move candidates into active campaigns faster. The update transforms the shortlist from a static holding area into an actionable interface that clarifies outreach statuses and next steps.
Bears on: Agent capability
View sourcePricing
Contact sales
flat
What is public
Findem (findem.ai - AI talent-acquisition / people-intelligence platform: attribute-based ('3D data') talent search, sourcing, talent CRM, and analytics) is enterprise/quote-based - custom, no public price tiers.
Billing mechanics
Enterprise SaaS subscription (sales-led, quote-based); not publicly itemized. No public figures.
Additional watchouts
Custom enterprise pricing only (no public figures); value tied to sourcing/analytics scope
Sales call required
Yes, required for paid access
Commercial notes
AI talent-acquisition / people-intelligence vendor; competes with Eightfold, SeekOut, hireEZ, Beamery, Gem
Support SLA / resale
Enterprise support; integrates with ATS/HRIS; attribute-based talent graph + analytics
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Alternatives to Findem
The closest documented capability profiles to Findem among enterprise operations agents tracked by Agentic Index, ordered by similarity on the same 14 point evidence the rankings use. No vendor pays for placement.
- Cambio7.0 / 14Fuller documented coverage on Prebuilt Agents, Templates & Packs
- Reclaim AI7.0 / 14Adds documented Testing, Debugging & Optimization
- ZingHR7.0 / 14Adds documented Deployment & Data Residency
- Circleback8.5 / 14Adds documented Deployment & Data Residency
- Motion7.5 / 14Adds documented Testing, Debugging & Optimization
- Sana8.5 / 14Adds documented Deployment & Data Residency and Model Flexibility & Routing
Similarity is computed from each vendor's Agentic Index coverage score evidence, axis by axis, not from the totals. How this evidence is graded