iMocha
iMocha is an AI-powered skills assessment and skills-intelligence platform that evaluates candidates and employees across technical, cognitive, coding, and soft skills for hiring and internal talent management, including AI-based coding simulators and an AI video interviewer (Tara).
§ 01 — Score breakdown
§ Score breakdown
Category scoring
Weighted contribution shown to the right of each bar.
- 01
Article 11 Technical Documentation
Weight 20%68
+13.6
- 02
Bias Audit Transparency
Weight 18%44
+7.9
- 03
FRIA Support
Weight 15%38
+5.7
- 04
Data Governance Disclosure
Weight 15%66
+9.9
- 05
Human Oversight Design
Weight 12%64
+7.7
- 06
Post-Market Monitoring
Weight 12%48
+5.8
- 07
Customer Documentation
Weight 8%66
+5.3
§ 02 — Strongest · weakest
Strongest category
Article 11 Technical Documentation
Raw score 68 · contributes 13.6 to total.
Weakest category
FRIA Support
Raw score 38 · contributes 5.7 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
iMocha, founded in 2015 and operated from Pune, India (through the ISO-certified entity Tecknack Technologies Pvt. Ltd., with a US Delaware corporate presence and a California sales line), is an AI-powered skills assessment and skills-intelligence platform. It reports 300+ customer organizations including 15 Fortune 500 companies and raised a $14M Series A in 2022. The product spans pre-hire skills assessments, the AI-LogicBox coding simulator, one-way and conversational AI video interviews via its 'Tara' interviewer, and a skills-taxonomy/intelligence cloud used across hiring, internal mobility, and workforce planning.
Regulatory exposure
Because it scores and ranks candidates, iMocha functions as an automated employment decision tool with exposure to NYC Local Law 144 bias-audit obligations, EEOC adverse-impact standards, Illinois and Colorado AI-hiring rules, and — as an Annex III employment use case — the EU AI Act's high-risk regime. iMocha frames its outputs as advisory decision-support subject to human oversight and states its AI Interview uses NLP on spoken/written responses only (no biometric or facial analysis). However, it publishes no independent third-party bias audit and no EU AI Act FRIA or explicit deployer-obligation guidance; bias-audit and annual third-party AI-model-audit summaries are offered only on written request rather than being publicly downloadable.
Path to a higher score
To raise its score, iMocha should commission and publicly post an ungated independent bias audit (NYC LL 144-style) by a named auditor such as BABL AI, DCI, or Warden AI; pursue ISO 42001 certification and formal EU AI Act Article 11 / Annex IV technical documentation with instructions-for-use; publish explicit EU AI Act deployer and Fundamental Rights Impact Assessment guidance; ungate its third-party AI-model-audit and per-customer bias-audit summaries; and stand up a public status page and model-update changelog for continuous post-market monitoring.
Conflicts of interest
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