Bryq

Bryq is a science-based talent-intelligence platform whose core product is a short, blind, chatbot-driven pre-hire assessment scoring candidates on cognitive ability, personality/behavioral traits, and job skills to produce a job-fit "match" score used for hiring and internal mobility.
AssessmentScreening

HireAIScore rates Bryq 57 out of 100 (grade F, Substantial gaps) under rubric v1.0, last reviewed July 17, 2026. Bryq ranks 6 of 82 vendors rated in Assessment AI, against a category average of 46. That score is drawn from 24 evidence items across 7 rubric criteria for Bryq — 20 with a cited source, 4 recording that nothing was located.

Score breakdown

Bryq, 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

    54

    +10.8

  2. Bias Audit Transparency

    Weight 18% · avg 41

    70

    +12.6

  3. FRIA Support

    Weight 15% · avg 31

    40

    +6.0

  4. Data Governance Disclosure

    Weight 15% · avg 53

    62

    +9.3

  5. Human Oversight Design

    Weight 12% · avg 55

    54

    +6.5

  6. Post-Market Monitoring

    Weight 12% · avg 38

    55

    +6.6

  7. Customer Documentation

    Weight 8% · avg 58

    66

    +5.3

Total weighted score

57.1(rounded to 57 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

Bias Audit Transparency

70raw / 100

Contributes 12.6 to the total. 70 against a 41 category average.

Weakest criterion

FRIA Support

40raw / 100

Contributes 6.0 to the total. 40 against a 31 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
24
Documentation
14
Audit report
4
Public statement
2
Absence
4
With a source URL
20 of 24
Source hostnames
5
Fewest items
2
Human Oversight Design

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

Article 11 Technical Documentation

3 items54

Bias Audit Transparency

4 items70

FRIA Support

3 items40

Data Governance Disclosure

4 items62
  • DocumentationCaptured Jul 17, 2026

    Security page stating Bryq undergoes SOC 2 Type II and ISO 27001 audits annually, with AES-256 encryption at rest, annual third-party penetration testing, a vulnerability disclosure program, and 30-day backup retention.

    https://www.bryq.com/security

  • DocumentationCaptured Jul 17, 2026

    Public subprocessor list disclosing OpenAI is used only for optional job/resume parsing with 'no data stored', and that identifying candidate data is removed for blind screening.

    https://www.bryq.com/subprocessors

  • Audit reportCaptured Jul 17, 2026

    Drata trust center confirms SOC 2 Type II, ISO 27001:2022 certificates and a GDPR Record of Processing Activities (downloadable on request) plus EU-located subprocessors.

    https://app.drata.com/trust/a569a20b-6f1b-4c2e-b2ba-13d012a84623

  • Audit reportCaptured Jul 17, 2026

    The code4thought audit documents exactly what data was used (9,846 candidates) and which demographic categories were excluded (<2% of the sample), evidencing data-governance transparency.

    https://framerusercontent.com/assets/gl3z61ikEYsZo9PZwlUdV5Wq7E.pdf

Human Oversight Design

2 items54

Post-Market Monitoring

4 items55
  • DocumentationCaptured Jul 17, 2026

    Trust center hosts a live Drata continuous-monitoring dashboard showing dozens of security controls in a passing (green) state and a banner that Bryq is 'continuously monitoring its overall security posture'.

    https://app.drata.com/trust/a569a20b-6f1b-4c2e-b2ba-13d012a84623

  • DocumentationCaptured Jul 17, 2026

    Security page documents a Vulnerability Disclosure Program and annual penetration testing; the trust center additionally lists a Responsible Disclosure (Bug Bounty) control.

    https://www.bryq.com/security

  • Public statementCaptured Jul 17, 2026

    Bryq states it runs ongoing data monitoring to continuously track bias-mitigation effectiveness under Holistic AI's 'Ongoing Assurance' stage.

    https://www.holisticai.com/case-study/bryq

  • AbsenceCaptured Jul 17, 2026

    No AI/model-specific update changelog, public uptime status page, or dedicated AEDT incident-reporting channel was found.

    Have a URL that disputes this?

Customer Documentation

4 items66

Editorial notes

Company overview

Bryq is a talent-intelligence and pre-hire assessment company founded in 2017 (co-founders Markellos Diorinos and Hassan Chahrour, with Guy Krief; George Kalyvas has been CEO since 2025). Its commercial base is Boston, US, with product/R&D operations in Athens, Greece, and the corporate entity behind the product appears on its own trust center as 'Bryq (Idalto Inc.)', with EU affiliates Idalto Ltd. (Cyprus) and Idalto Hellas SPPC (Greece). The platform combines a ~14-minute chatbot-driven assessment (cognitive ability, 16PF/OCEAN-based personality, and 140+ skill tests, plus a newer AI-fluency assessment) with an AI matching engine that builds an Ideal Candidate Profile and scores candidates on a fit tier from 'Exceptional Fit' to 'Poor Fit'. Bryq markets EEOC/OFCCP-validated, blind (name/gender/age/education-stripped) assessment, integrates into existing ATSs, and is a smaller, venture-backed vendor priced for the mid-market.

Regulatory exposure

As an automated tool that scores and ranks candidates, Bryq is squarely in scope of the major AI-hiring regimes: an EU AI Act Annex III high-risk system (it markets to EU employers and runs EU-hosted infrastructure), a NYC Local Law 144 AEDT, and an emerging obligation target under Illinois and Colorado. Its strongest asset is bias-audit transparency: a publicly downloadable NYC LL 144 AEDT bias audit conducted by code4thought (March 2025) discloses a full disparate-impact analysis across 9,846 real candidates with gender, ethnicity, and intersectional scoring-rate and impact-ratio tables (lowest ratio 0.821), on top of a multi-year history of Holistic AI audits since 2023 that remain request-only. Data governance is well documented (SOC 2 Type II and ISO 27001:2022 both audited annually, a public DPA, subprocessor list, and a live Drata continuous-monitoring trust center). Gaps remain typical of the category: no ISO 42001, no published model/system card or Annex IV technical file, no EU AI Act Article 27 FRIA template, and only decision-support-level (not documented override/audit-log) human-oversight detail.

Path to a higher score

Bryq already clears the hardest bar in this category with a genuinely public, full-population code4thought bias audit; the highest-leverage next steps are depth and openness elsewhere. It should publish a formal model/system card and an Annex IV-aligned technical pack (and pursue ISO 42001) to lift Article 11 documentation; keep the code4thought audit on a named yearly cadence and un-gate the prior Holistic AI reports to reach 'two consecutive public audits'; publish an explicit EU AI Act Article 27 FRIA/deployer template rather than relying on a data-protection DPIA procedure; and document concrete in-product recruiter-override controls, audit logs, and per-jurisdiction toggles instead of generic decision-support framing. Adding an AI-specific model-update changelog and incident channel would round out post-market monitoring beyond the existing security-controls dashboard.

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 6 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. #3Alva Labs61D
  2. #4HireVue58F
  3. #5Fuel5058F
  4. #6BryqThis profile57F
  5. #7Harver56F
  6. #8Sapia.ai56F
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Conflicts of interest

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Casework has no commercial relationship with this vendor.