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.
AssessmentScreeningVideo interview

HireAIScore rates Canditech 39 out of 100 (grade F, Substantial gaps) under rubric v1.0, last reviewed July 17, 2026. Canditech ranks 68 of 82 vendors rated in Assessment AI, against a category average of 46. That score is drawn from 18 evidence items across 7 rubric criteria for Canditech — 11 with a cited source, 7 recording that nothing was located.

Score breakdown

Canditech, criterion by criterion

Each rubric criterion is scored out of 100 on the cited evidence, then weighted into the total.

Weighted contribution shown to the right of each bar.

  1. Article 11 Technical Documentation

    Weight 20% · avg 50

    37

    +7.4

  2. Bias Audit Transparency

    Weight 18% · avg 41

    25

    +4.5

  3. FRIA Support

    Weight 15% · avg 31

    30

    +4.5

  4. Data Governance Disclosure

    Weight 15% · avg 53

    52

    +7.8

  5. Human Oversight Design

    Weight 12% · avg 55

    53

    +6.4

  6. Post-Market Monitoring

    Weight 12% · avg 38

    32

    +3.8

  7. Customer Documentation

    Weight 8% · avg 58

    58

    +4.6

Total weighted score

39.0(rounded to 39 for display)

Category avg is the mean raw score on that criterion across the 82 Assessment AI vendors in scope of this rubric, this one included.

Strongest criterion

Customer Documentation

58raw / 100

Contributes 4.6 to the total. 58 against a 58 category average.

Weakest criterion

Bias Audit Transparency

25raw / 100

Contributes 4.5 to the total. 25 against a 41 category average.

Cited evidence

The evidence behind the score

Every score is backed by at least one cited piece of evidence. Open a criterion to see what was found, when, and where.

Download diligence record

Evidence ledger

Items
18
Documentation
9
Public statement
2
Absence
7
With a source URL
11 of 18
Source hostnames
1
Fewest items
2
Bias Audit Transparency

These figures measure how thoroughly Canditech was reviewed, not how Canditech performed — an absence row, recording that nothing was located, is counted like any other item.

Article 11 Technical Documentation

3 items37
  • DocumentationCaptured Jul 17, 2026

    Product page describes an AI assessment builder and AI auto-scoring using pre-configured or custom 'agents' but provides no model cards, technical specification, or explainability documentation.

    https://www.canditech.io/ai-candidate-assessment-software/

  • DocumentationCaptured Jul 17, 2026

    FAQ states that for video responses only the written transcription is analyzed (excluding accent, tone, and appearance), a limited fairness-by-design/explainability statement rather than a formal technical pack.

    https://www.canditech.io/frequently-asked-questions/

  • AbsenceCaptured Jul 17, 2026

    No model or system cards, AI technical documentation, standalone explainability statement, or ISO 42001 certification found on the Trust Center or any product page.

    Have a URL that disputes this?

Bias Audit Transparency

2 items25
  • AbsenceCaptured Jul 17, 2026

    No NYC Local Law 144 bias audit, independent third-party audit (BABL AI, ORCAA, Warden AI, Holistic AI, etc.), or academic audit found on the Trust Center, FAQ, or product pages.

    Have a URL that disputes this?

  • Public statementCaptured Jul 17, 2026

    Company claims bias is reduced via standardized, automated scoring and work-sample validity, but presents no measured adverse-impact or independent audit results.

    https://www.canditech.io/validity-and-reliability-in-assessments/

FRIA Support

2 items30
  • AbsenceCaptured Jul 17, 2026

    No EU AI Act Article 27 Fundamental Rights Impact Assessment template, deployer-obligation guidance, or AI Act conformity documentation found anywhere on the site.

    Have a URL that disputes this?

  • DocumentationCaptured Jul 17, 2026

    Trust Center offers a GDPR Data Processing Agreement and a privacy/security package, but nothing addressing fundamental-rights or EU AI Act deployer obligations.

    https://www.canditech.io/trust-center/

Data Governance Disclosure

3 items52
  • DocumentationCaptured Jul 17, 2026

    Trust Center lists ISO/IEC 27001:2013, GDPR compliance, AES-256 at rest, TLS 1.3 in transit, AWS EU hosting with disaster recovery, and annual penetration testing.

    https://www.canditech.io/trust-center/

  • DocumentationCaptured Jul 17, 2026

    FAQ discloses that video AI scoring uses only the transcription and excludes accent, tone, appearance, and recording environment, a specific data-exclusion practice.

    https://www.canditech.io/frequently-asked-questions/

  • AbsenceCaptured Jul 17, 2026

    No disclosure of what data trains the AI models (or whether customer data is used), no training-data exclusion list, and no ISO 42001.

    Have a URL that disputes this?

Human Oversight Design

3 items53

Post-Market Monitoring

2 items32
  • DocumentationCaptured Jul 17, 2026

    Trust Center describes annual penetration testing, ongoing infrastructure and application monitoring, and a CISO-led security team and Security Forum.

    https://www.canditech.io/trust-center/

  • AbsenceCaptured Jul 17, 2026

    No public status/uptime page, published vulnerability-disclosure policy or security contact, or model-update changelog found.

    Have a URL that disputes this?

Customer Documentation

3 items58

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.

Regulatory frame

What applies to assessment AI.

Assessment is the most-regulated surface in AI hiring. NYC LL 144, EEOC and OFCCP frameworks, Illinois HB 3773, and EU AI Act Annex III §4 all apply, with overlap on bias-audit obligations.

Keep reading

All assessment vendorsHow this score is builtAnnex IV section-by-section: what AI hiring vendors must documentWhat makes a defensible NYC LL 144 bias audit

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Ranking

Others rated in Assessment AI

Ranked 68 of 82 by weighted total under rubric v1.0. The ordering is arithmetic on the rubric and carries no view on which tool suits a given hiring process.

  1. #65Feenyx40F
  2. #66Cappfinity40F
  3. #67Adaface39F
  4. #68CanditechThis profile39F
  5. #69DevSkiller39F
  6. #70Alooba38F
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Conflicts of interest

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Casework has no commercial relationship with this vendor.