Tezi
Tezi's product "Max" is an autonomous AI recruiting agent that sources passive candidates, screens and ranks inbound applications via conversational chat, and schedules interviews, integrating with ATS and calendar tools.
§ 01 — Score breakdown
§ Score breakdown
Category scoring
Weighted contribution shown to the right of each bar.
- 01
Article 11 Technical Documentation
Weight 20%52
+10.4
- 02
Bias Audit Transparency
Weight 18%83
+14.9
- 03
FRIA Support
Weight 15%38
+5.7
- 04
Data Governance Disclosure
Weight 15%55
+8.3
- 05
Human Oversight Design
Weight 12%63
+7.6
- 06
Post-Market Monitoring
Weight 12%58
+7.0
- 07
Customer Documentation
Weight 8%50
+4.0
§ 02 — Strongest · weakest
Strongest category
Bias Audit Transparency
Raw score 83 · contributes 14.9 to total.
Weakest category
Customer Documentation
Raw score 50 · contributes 4.0 to total.
§ 03 — Cited evidence
§ Evidence
Cited per category
Every score is backed by at least one cited piece of evidence.
§ 04 — Editorial notes
Company overview
Tezi, Inc. is a Menlo Park, California startup founded in 2024 by ex-Thumbtack leaders Raghavendra Prabhu and Jason James. Its product, Max, is marketed as the first fully autonomous AI recruiter, handling end-to-end sourcing, application screening, candidate chat, and interview scheduling, with integrations into ATS platforms (Greenhouse, Ashby, Lever) and calendars. The company raised a $9M seed round in July 2024 led by 8VC and Audacious Ventures. In a notable development, Headway (a mental-health-care platform) announced on March 31, 2026 that it had acquired the team behind Tezi, with cofounder Prabhu joining Headway as VP of Engineering; consistent with this, several Tezi product and legal pages (for-operators, customer-terms) now return 404, suggesting the recruiting product is being wound down even though the blog, trust center, and bias-audit dashboard remain live.
Regulatory exposure
Tezi's screening agent is a clear high-risk use case under the EU AI Act (Annex III employment) and is directly in scope for NYC Local Law 144, Colorado SB 205, and California FEHA. Tezi is unusually proactive here: it publicly maps its system to all four regimes and commissioned Warden AI to run a continuous monthly bias audit whose results are exposed on a public dashboard. Its strongest compliance posture is the human-oversight framing (agents recommend, people decide; agents are blind by design to protected-class signals) and continuous post-market monitoring. The main gaps are formal EU AI Act deployer artifacts: there is no published FRIA template, no Article 11-style technical documentation pack, model card, or ISO 42001, and the trust-center/SOC 2 materials appear gated rather than openly downloadable.
Path to a higher score
Tezi already clears the bar most peers miss (a public, continuously updated third-party bias audit and an explicit human-in-the-loop statement). To raise its score it would publish an Article 11-style technical documentation pack or model/system card with an explainability statement, release deployer-facing EU AI Act guidance including a FRIA template and a per-jurisdiction compliance kit (NYC LL 144 candidate-notice language, Colorado SB 205 impact-assessment support), make its SOC 2 Type II report and a DPA openly available, and document a data-exclusion list and post-market incident channel. The practical obstacle is the Headway acquisition: with the team absorbed into mental-health work and product pages going dark, further compliance investment in the recruiting product looks unlikely.
Conflicts of interest
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