Sapia.ai

Structured, text-based chat interview that scores candidates on personality (HEXACO) and competency traits - with no video, audio, or demographic data used.

HireAIScore rates Sapia.ai 56 out of 100 (grade F, Substantial gaps) under rubric v1.0, last reviewed June 7, 2026. Sapia.ai ranks 8 of 82 vendors rated in Assessment AI, against a category average of 46. That score is drawn from 20 evidence items across 7 rubric criteria for Sapia.ai — 16 with a cited source, 4 recording that nothing was located.

Score breakdown

Sapia.ai, 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

    70

    +14.0

  2. Bias Audit Transparency

    Weight 18% · avg 41

    52

    +9.4

  3. FRIA Support

    Weight 15% · avg 31

    35

    +5.3

  4. Data Governance Disclosure

    Weight 15% · avg 53

    62

    +9.3

  5. Human Oversight Design

    Weight 12% · avg 55

    62

    +7.4

  6. Post-Market Monitoring

    Weight 12% · avg 38

    50

    +6.0

  7. Customer Documentation

    Weight 8% · avg 58

    62

    +5.0

Total weighted score

56.3(rounded to 56 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

Article 11 Technical Documentation

70raw / 100

Contributes 14.0 to the total. 70 against a 50 category average.

Weakest criterion

FRIA Support

35raw / 100

Contributes 5.3 to the total. 35 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
20
Documentation
14
Audit report
2
Absence
4
With a source URL
16 of 20
Source hostnames
5
Fewest items
2
FRIA Support

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

Article 11 Technical Documentation

4 items
70

Bias Audit Transparency

3 items
52

FRIA Support

2 items
35
  • DocumentationCaptured Jun 7, 2026

    SafeBase trust center bundling ISO 42001 + SOC 2 + ISO 27001 governance, but stopping short of fundamental-rights deployer guidance.

    https://trust.sapia.ai/

  • AbsenceCaptured Jun 7, 2026

    No public material located as of 2026-06-07.

    Where we looked: https://sapia.ai (FAIR framework, science, security pages) - no Art. 27 FRIA template, No deployer FRIA guidance located.

    Have a URL that disputes this?

Data Governance Disclosure

3 items
62

Human Oversight Design

2 items
62
  • DocumentationCaptured Jun 7, 2026

    'Rethinking human-in-the-loop' post: scores carry evidence-based explanations so recruiters can override AI output.

    https://sapia.ai/resources/blog/ai-in-hiring/

  • DocumentationCaptured Jun 7, 2026

    Describes SAIGE explainable scoring with natural-language explanations tied to the candidate's own words.

    https://sapia.ai/science/

Post-Market Monitoring

3 items
50

Customer Documentation

3 items
62

Editorial notes

Company overview

Sapia.ai (legally Sapia&Co Pty Ltd, formerly PredictiveHire) is a Melbourne-based HR-tech vendor selling an enterprise "Smart Interviewer." Candidates complete a structured, text-only chat interview of roughly five to seven open questions - there is no video or audio recording. Its models analyse written responses to produce personality (HEXACO) and competency profiles, with natural-language explanations tracing each score back to the candidate's own words. The company is unusually well-prepared on AI governance, holding ISO/IEC 42001:2023 certification (Sensiba LLP, October 2025) alongside ISO 27001 and SOC 2.

Regulatory exposure

As an automated employment decision tool used at the screening/interview stage, Sapia.ai is in scope for the EU AI Act (high-risk employment use), NYC Local Law 144, and the Illinois and Colorado regimes. Its strongest signal is the ISO 42001 AI-management-system certification. Its weakest point is bias-audit currency: the only independent disparate-impact audit it publishes (BLDS, LLC) dates to December 2022, is framed as a US/Canada study rather than an annually-refreshed NYC LL 144 audit, and the full report is not openly downloadable.

Path to a higher score

The fastest gains are in bias-audit transparency and FRIA support. Publishing a current independent NYC LL 144-format audit with openly downloadable impact-ratio tables would move it from "one old audit" to "consecutive public audits." Posting model cards and an instructions-for-use / deployer-obligations pack (leveraging the ISO 42001 documentation it already maintains) would lift the Article 11 and customer-documentation scores, and an explicit Article 27 FRIA template would be a clear differentiator.

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.

Ranking

Others rated in Assessment AI

Ranked 8 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. #5Fuel5058F
  2. #6Bryq57F
  3. #7Harver56F
  4. #8Sapia.aiThis profile56F
  5. #9Cornerstone OnDemand56F
  6. #10iMocha56F
All assessment vendors

Conflicts of interest

No vendor pays for placement, scoring, or removal. Casework - the consulting firm that operates this directory - provides paid services to some vendors. Any active or recent (within 24 months) commercial relationship is disclosed on the affected vendor profile and the review is reassigned to an independent reviewer. See the full policy on About.

Casework has no commercial relationship with this vendor.