Talent& aggregates metadata from HRIS, calendar, communication, code‑review, and document systems to detect early disengagement signals up to ten weeks before an employee resigns. Its AI model scores individuals for flight risk, explains the three most influential changes for each score, and delivers a weekly ranked list of at‑risk staff, a watchlist of potential poaches, and a team‑health map, all via a read‑only, privacy‑first dashboard.
Funding
Funding not disclosed
Founders
Product
Problem
Organizations often discover employee resignations only after a prolonged period of reduced engagement, such as declining calendar activity, fewer 1:1 meetings, and shorter performance reviews, leaving little time to intervene and retain key talent.
Solution
Talent& aggregates metadata from existing HRIS, calendar, communication, code‑review, and document systems to detect early signals of employee disengagement up to ten weeks before a resignation. Its AI model, trained on a cohort of 11,400 departures, scores individuals for flight risk and highlights the three most influential changes driving each score. The platform delivers a weekly ranked list of at‑risk employees, a “hidden‑gem” watchlist of staff likely to be poached by competitors, and a team‑health map that flags emerging drift. All insights are presented in an explainable, read‑only dashboard, enabling managers to start timely, data‑backed conversations and reduce turnover.
Target Audience
Primary users are senior people‑operations leaders (Chief People Officers, VP People Analytics) and HR teams responsible for talent retention, supported by IT staff who can authorize read‑only data connectors.
Features
- Integration with HRIS, calendar, Slack/M365, GitHub, and document metadata via read‑only OAuth connectors
- Nineteen engineered features (e.g., calendar density, 1:1 cadence, meeting decline latency, code‑review throughput, document‑share patterns, PTO trends) weighted to organization‑specific departure history
- Explainable AI scores with three concrete signal explanations per employee
- Weekly flight‑risk list and hidden‑gem watchlist, plus a team‑level health map flagged six weeks before attrition clusters
- SOC 2‑compliant architecture, GDPR‑aligned data residency, and privacy‑first design that never accesses message content
- Exportable reports, including a dollar‑valued exposure model signed by an analyst, for board‑room review