Canditech
Canditech is a skills-assessment and job-simulation platform that screens candidates with work-sample tests, technical and soft-skill assessments, and one-way video interviews, using AI agents to auto-score open-text and video responses.
§ 01 — Score breakdown
§ Score breakdown
Category scoring
Weighted contribution shown to the right of each bar.
- 01
Article 11 Technical Documentation
Weight 20%37
+7.4
- 02
Bias Audit Transparency
Weight 18%25
+4.5
- 03
FRIA Support
Weight 15%30
+4.5
- 04
Data Governance Disclosure
Weight 15%52
+7.8
- 05
Human Oversight Design
Weight 12%53
+6.4
- 06
Post-Market Monitoring
Weight 12%32
+3.8
- 07
Customer Documentation
Weight 8%58
+4.6
§ 02 — Strongest · weakest
Strongest category
Customer Documentation
Raw score 58 · contributes 4.6 to total.
Weakest category
Bias Audit Transparency
Raw score 25 · contributes 4.5 to total.
§ 03 — Cited evidence
Download diligence record→§ Evidence
Cited per category
Every score is backed by at least one cited piece of evidence.
§ 04 — Editorial notes
Company overview
Canditech, founded in 2019 and headquartered in Tel Aviv, Israel, is a pre-employment skills-assessment platform built around job simulations and work-sample tests. It offers a library of 500+ tests plus custom assessments, one-way video interviews, and pre-screening tools, and uses AI 'agents' to auto-score open-text and video answers. The company raised roughly $9M in seed funding (Insight Partners, StageOne Ventures) and integrates with 40+ ATS platforms. Its market positioning is objective, skills-based screening that reduces resume bias, backed by an in-house PhD-level psychometrics team.
Regulatory exposure
Because Canditech scores and ranks candidates to inform hiring decisions, deployments function as an Automated Employment Decision Tool: New York City employers using it face Local Law 144 bias-audit and notice obligations, and EU deployers face the AI Act's high-risk employment-system requirements. Canditech's public compliance posture is almost entirely security- and privacy-centric (ISO/IEC 27001:2013, GDPR, a DPA, AES-256/TLS 1.3, AWS EU hosting). It publishes no NYC LL 144 bias audit, no independent fairness audit, no EU AI Act or FRIA deployer guidance, no model/system cards, and no ISO 42001. Partial mitigations exist in product copy: an explicit human override before decisions, and video AI scoring that analyzes only the transcript (excluding accent, tone, and appearance).
Path to a higher score
The fastest gains would come from commissioning and publicly posting an independent NYC LL 144 bias audit (ideally two consecutive years) and adding EU AI Act deployer guidance plus a Fundamental Rights Impact Assessment template. On the technical-documentation axis, Canditech should publish an AI/model card or system-documentation pack with an explainability statement, disclose whether customer data trains its models, and pursue ISO 42001. A public status/uptime page, a documented vulnerability-disclosure channel, and a model-update changelog would lift post-market-monitoring transparency from its current internal-only description.
Conflicts of interest
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