Talent Graph: The Candidate Intelligence Layer That Gets Smarter With Every Hire
The talent graph is TAL.co's long-term candidate intelligence layer — a structured, continuously enriched network of every candidate your organization has sourced, evaluated, or hired, connected by skills, roles, and outcome data.
Why Candidate Data Loses Value Over Time
In most organizations, a candidate who interviews for one role and doesn't advance simply disappears — archived in an ATS, never surfaced again. The recruiter's notes, the compensation conversation, the feedback from the hiring manager — all of it sits in a static record that no future search can leverage.
TAL.co's talent graph treats every candidate interaction as structured data. Skills, experience signals, compensation expectations, availability timing, and interview feedback are retained and connected — so when a relevant role opens in the future, candidates who were previously evaluated are surfaced automatically with full context.
Talent Graph Capabilities
Persistent Candidate Profiles
Every candidate who enters the TAL.co pipeline gets a structured profile that persists across searches — enriched over time as new data becomes available.
- Skills graph updated as roles and industries evolve
- Compensation expectations tracked across conversations
- Interview feedback and role-fit reasoning preserved
Candidate Rediscovery
When a new role opens, the talent graph surfaces previously evaluated candidates who meet the brief — ranked by recency, fit, and availability signals — before sourcing begins from scratch.
Network Relationship Mapping
The graph maps relationships between candidates, roles, companies, and recruiters — surfacing warm connections and referral paths that cold sourcing misses.
Enrichment Without Scraping
Profiles are enriched through structured intake, recruiter notes, and AI-assisted summaries of evaluation data — not web scraping that introduces noise and compliance risk.
A Living Map of Your Candidate Universe
Skills, roles, compensation signals, and outcome data — connected in a graph that improves every future search.
What the Talent Graph Delivers
Graph Intelligence That Scales With Your Hiring Volume
The talent graph compounds in value. Early in a TAL.co deployment, most searches require fresh sourcing. After six to twelve months of structured hiring, a significant portion of shortlists are assembled from previously evaluated candidates — at a fraction of the sourcing cost and time.
Questions, answered
Who owns the talent graph data?
Your organization owns its candidate graph data. Candidates you source and evaluate are stored in your account and are not shared with other TAL.co customers.
Does the talent graph work with candidates from outside TAL.co?
Yes. Candidates imported from your ATS, sourced by your internal team, or referred through your network can all be added to the talent graph and enriched through the platform.
How does the graph handle candidate privacy?
TAL.co retains candidate data in accordance with applicable data privacy regulations. Candidates can request removal, and the platform maintains opt-out and data retention controls.
Is the talent graph available on all plans?
Graph retention and enrichment features are available on Business and Enterprise plans. Starter plans retain candidates for the duration of an active search.
Related
Build a Talent Graph That Compounds
Turn every search into persistent candidate intelligence that reduces sourcing cost over time.