CodeSignal
CodeSignal is a technical skills assessment and interview platform for developer hiring that adds AI features including an AI Interviewer, AI-assisted/agentic coding assessments, and AI-plus-human proctoring.
HireAIScore rates CodeSignal 43 out of 100 (grade F, Substantial gaps) under rubric v1.0, last reviewed June 7, 2026. CodeSignal ranks 37 of 49 vendors rated in Assessment AI, against a category average of 48. That score is drawn from 20 evidence items across 7 rubric criteria for CodeSignal — 15 with a cited source, 5 recording that nothing was located.
§ 01 - Company facts
- Legal name
- CodeSignal, Inc.
- Founded
- 2015
- Headquarters
- United States · US
- Pricing tier
- Enterprise
- Market side
- Employer-side (AEDT)
- Categories
- AssessmentVideo interviewScreening
- Website
- codesignal.com
These are company details, not findings. They are editable by a verified representative and carry no weight in the score, which is built only from the cited evidence below.
§ 02 - Score breakdown
§ Score breakdown
Category scoring
Weighted contribution shown to the right of each bar.
- 01
Article 11 Technical Documentation
Weight 20%38
+7.6 · category avg 53
- 02
Bias Audit Transparency
Weight 18%45
+8.1 · category avg 47
- 03
FRIA Support
Weight 15%25
+3.8 · category avg 32
- 04
Data Governance Disclosure
Weight 15%50
+7.5 · category avg 55
- 05
Human Oversight Design
Weight 12%55
+6.6 · category avg 55
- 06
Post-Market Monitoring
Weight 12%38
+4.6 · category avg 39
- 07
Customer Documentation
Weight 8%62
+5.0 · category avg 59
Category avg is the mean raw score on that criterion across the 49 Assessment AI vendors in scope of this rubric, this one included.
§ 03 - Strongest · weakest
Strongest category
Customer Documentation
Raw score 62 · contributes 5.0 to total.
62 against a 59 category average
Weakest category
FRIA Support
Raw score 25 · contributes 3.8 to total.
25 against a 32 category average
§ 04 - Cited evidence
Download diligence record→§ Evidence
Cited per category
Every score is backed by at least one cited piece of evidence.
Evidence ledger
- Items
- 20
- Documentation
- 13
- Public statement
- 2
- Absence
- 5
- With a source URL
- 15 of 20
- Source hostnames
- 2
- Fewest items
- 2
- FRIA Support
These figures measure how thoroughly CodeSignal was reviewed, not how CodeSignal performed — an absence row, recording that nothing was located, is counted like any other item.
Article 11 Technical Documentation
3 items38
- DocumentationCaptured Jun 7, 2026
Certified Assessments page describes a five-step validation methodology (Identify, Construct, Validate, Variate, Monitor) validated by I-O psychologists but offers no downloadable technical documentation or model cards.
- DocumentationCaptured Jun 7, 2026
Security and compliance page covers SOC 2 and ISO 27001 (AWS-level) infrastructure controls but contains no AI-specific technical documentation, explainability statement, or ISO 42001.
- AbsenceCaptured Jun 7, 2026
No AI system card, model card, or explainability statement for the AI Interviewer, Cosmo, or the proctoring Suspicion Score was found on codesignal.com or its Trust Center.
Bias Audit Transparency
3 items45
- DocumentationCaptured Jun 7, 2026
States "Our validation and adverse impact studies support EEOC and OFCCP compliance" and that ongoing adverse impact analyses are conducted, but no audit report is downloadable.
- Public statementCaptured Jun 7, 2026
CodeSignal states its tools are "unlikely to be classified as an AEDT," frames the annual independent bias audit as the employer's responsibility, and offers only to provide data for client-commissioned audits.
https://codesignal.com/blog/nyc-law-automated-employment-decision-tools/
- AbsenceCaptured Jun 7, 2026
No independent, dated, publicly downloadable NYC LL 144 bias audit and no named third-party auditor (e.g., BABL AI, Warden AI, Holistic AI) were found for CodeSignal.
FRIA Support
2 items25
- AbsenceCaptured Jun 7, 2026
Searches of codesignal.com, its NYC LL 144 blog, and compliance pages found no EU AI Act Article 27 Fundamental Rights Impact Assessment template, deployer-obligation guidance, or any EU AI Act reference.
- DocumentationCaptured Jun 7, 2026
Compliance & Trust page covers SOC 2, ISO 27001, GDPR, and Data Privacy Framework but offers no FRIA or fundamental-rights deployer guidance.
Data Governance Disclosure
3 items50
- DocumentationCaptured Jun 7, 2026
Privacy policy details collected data categories (profile, identifiers, IP, audiovisual proctoring recordings), GDPR/CCPA rights, and general retention, but contains no explicit statement on using candidate data to train AI models.
- DocumentationCaptured Jun 7, 2026
Describes annual independent SOC 2 examination, AWS ISO 27001 alignment, GDPR, and restricted internal access to customer data.
- AbsenceCaptured Jun 7, 2026
No published training-data exclusion list, no explicit "candidate data is/ is not used to train models" statement, and no ISO 42001 data-governance certification were found.
Human Oversight Design
3 items55
- DocumentationCaptured Jun 7, 2026
States CodeSignal "uses a blend of multiple AI reviews and human oversight" and describes the Suspicion Score model combining similarity, telemetry, and paste-event signals.
https://codesignal.com/blog/prevent-and-detect-cheating-in-recruiting/
- Public statementCaptured Jun 7, 2026
States "Human oversight always ensures that AI decisions align with organizational ethics" and that AI should complement human judgment, with candidate transparency about AI use.
https://codesignal.com/blog/how-ai-interview-software-helps-reduce-hiring-bias
- DocumentationCaptured Jun 7, 2026
Describes structured interviews, rating scales, and continuous I-O-psychologist monitoring as human safeguards against bias, but per-jurisdiction toggles and in-product audit logs are not documented.
https://codesignal.com/blog/how-codesignals-talent-science-team-reduces-bias/
Post-Market Monitoring
3 items38
- DocumentationCaptured Jun 7, 2026
Public status page shows component-level operational status, 90-day uptime, incident history, and email/SMS/Slack/webhook/RSS subscription options.
- DocumentationCaptured Jun 7, 2026
Provides a trust@codesignal.com contact and references the Trust Center for audit reports and system status.
- AbsenceCaptured Jun 7, 2026
No public security/vulnerability disclosure contact, model-update changelog, or continuous bias/fairness monitoring dashboard was found.
Customer Documentation
3 items62
- DocumentationCaptured Jun 7, 2026
Provides NYC LL 144 deployer-facing guidance including a vendor/employer responsibility table and additional support offerings (Local Job Analysis, Local Criterion Validation, Local Adverse Impact Analyses, Certified Evaluations).
https://codesignal.com/blog/nyc-law-automated-employment-decision-tools/
- DocumentationCaptured Jun 7, 2026
Talent Science / Skills Evaluation Lab hub describes I-O-psychologist work on validity, fairness metrics, and adverse impact, with linked guidance resources.
- DocumentationCaptured Jun 7, 2026
Public guidance explaining adverse impact, the EEOC four-fifths rule, cutoff-score adjustment, and validation requirements for compliant deployment.
https://codesignal.com/blog/heres-what-you-need-to-know-about-compliance-and-cutoff-scores/
§ 05 - Editorial notes
Company overview
Founded in 2015 (originally as CodeFights, rebranded to CodeSignal in 2018) and headquartered in San Francisco, CodeSignal is a developer-focused skills platform built around technical assessments, structured coding interviews, and a learning product. Its hiring suite is anchored by Certified Assessments - role-based evaluations written by subject-matter experts and validated by in-house Industrial-Organizational (I-O) psychologists - layered with newer AI capabilities: an AI Interviewer that conducts and scores interviews, AI-assisted and "agentic" coding assessments (Cosmo, Claude Code, Cursor), and a blended AI-plus-human proctoring system that produces a "Suspicion Score." The company sells primarily to enterprise engineering and talent-acquisition teams and operates a Talent Science team that publishes blog-level guidance on fairness and adverse impact.
Regulatory exposure
As an automated/AI-assisted screening and interview tool used in employment, CodeSignal sits squarely within the scope of NYC Local Law 144, the EU AI Act's high-risk Annex III employment category, and Illinois/Colorado AI-hiring rules. Notably, CodeSignal's own published position is that its assessments are "unlikely to be classified as an AEDT" and that commissioning bias audits is the employer's obligation, not the vendor's - it offers to supply data for audits clients run but publishes no independent bias audit, names no auditor, and links no downloadable audit results. Its I-O-psychologist adverse-impact work supports EEOC/OFCCP framing but is not published as a transparent, dated audit. No EU AI Act FRIA template or deployer Article 27 guidance was found; AI-specific governance (ISO 42001, model cards, explainability statements) is absent, with security trust resources (SOC 2, ISO 27001, GDPR, Data Privacy Framework) gated behind a Trust Center.
Path to a higher score
CodeSignal could materially raise its score by commissioning and publicly posting a dated, independent NYC LL 144-style bias audit (e.g., BABL AI, Warden AI, Holistic AI) with a downloadable summary and the auditor named, and by repeating it annually. Publishing its adverse-impact / validity methodology as a citable whitepaper rather than blog prose, adding an AI system/model card and explainability statement for the AI Interviewer and Suspicion Score, releasing EU AI Act Article 27 deployer guidance plus a FRIA template, and pursuing ISO 42001 would address the AI-governance gaps. Finally, an explicit public statement on whether candidate data trains its AI models, a published sub-processor list, and a security/vulnerability disclosure contact would strengthen data-governance and post-market-monitoring transparency.
§ 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.
§ Compare
Build any comparison→CodeSignal against its nearest-scoring peers.
In Assessment AI.
§ Others rated in Assessment AI
All assessment vendors→Ranked 37 of 49 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.
- 34Equalture44F
- 35Retorio44F
- 36Wonderlic43F
- 37CodeSignalThis profile43F
- 38Talview42F
- 39Talogy42F
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.