Smart AI starts with smarter data.

Findem’s 3D People Graph connects trillions of data points across individuals, companies, and time. It turns fragmented people data into context your teams and AI can reason over, and act on.

Reveal trajectories beyond resumes.

The 3D People Graph organizes a career the way it actually unfolds, across roles, teams, relationships, and company milestones over time. It connects people and company data into a single view, so experience can be evaluated in context.

How the 3D People Graph takes shape.

A career isn’t a single record. It’s shaped by where someone worked, when they worked there, and what was
happening around them.

Built from over 100,000 data sources

The graph combines your ATS and CRM data with career histories, contributions, publications, patents, funding events, and company milestones.

Connected across individuals, companies, and time

The graph shows how someone progressed over time, where they delivered impact, and what kind of environment shaped that work.

Profiles continuously verified and kept fresh

Careers change. Teams move. Profiles in the graph are verified across sources and refreshed over time, so they reflect current reality, not outdated snapshots.

Built from over 100,000 data sources

Get more done, faster.

The graph combines your ATS and CRM data with career histories, contributions, publications, patents, funding events, and company milestones.

Connected across individuals, companies, and time

The graph shows how someone progressed over time, where they delivered impact, and what kind of environment shaped that work.

Profiles continuously verified and kept fresh

Careers change. Teams move. Profiles in the graph are verified across sources and refreshed over time, so they reflect current reality, not outdated snapshots.

Profile card of Jeremy Hirochi, Senior Software Engineering Manager at Ivula in San Francisco with verified status, fresh tag, and attributes: 3+ years at current company, works at growing company, completed vesting period, startup experience.

Find people with the experience and capabilities you need.

Instead of filtering on titles or keywords, search for patterns in how people have worked and grown. Expert labeling turns that history into signals like 0→1 builds, scaling exposure, or leadership under pressure, the experience that maps to success in your environment.

Profile card displaying Sarah Wright from San Francisco, verified as fresh, Head of Product, with an option to add to shortlist, alongside a graph showing her tenure versus company revenue and net profits from 2006 to 2014.

See the evidence behind every insight.

The graph resolves information from more than 100,000 sources, including GitHub, Stack Overflow, Crunchbase, and your ATS and CRM, into a single career view. Explainability sits behind every insight, so you can act with confidence instead of validating context by hand.

User interface screen showing a list of 32 job applications with candidate details including name, job title, location, company, and tags for high priority, ATS found, and startup experience.

Surface warm, high-intent talent first.

Hiring works better when there’s already a point of connection. By enriching your ATS, CRM, referrals, alumni, and internal networks with the 3D People Graph, you can see which candidates are closest to your organization and where outreach is more likely to lead to real engagement.

“With Findem, we’re not just matching keywords — we’re finding people based on what they've truly accomplished and their proven ability. It’s made a massive difference.”

Travis Baker, VP of Global Talent Acquisition

Findem’s Data Labeling Engine

The 3D People Graph organizes careers. The Data Labeling Engine applies expert labeling to that structure, translating experience, capabilities, and relationships into consistent, evidence-backed signals.

Black-and-white side profile of a woman with shoulder-length hair looking to the right with a blurred urban background.