Submit a Hugging Face model URL. Receive a structured, standards-aligned compliance and risk assessment report.
Unassessed AI systems create material risk across multiple dimensions:
The platform provides automated compliance assessment against EU AI Act, NIST AI RMF, and ISO governance standards. Each evaluation generates structured risk scoring, compliance gap identification, severity grading, and prioritized remediation recommendations with exportable audit documentation.
Results mapped to 40 provision-level requirements across ten anchor frameworks, with a pass or fail for each and the measurement basis behind it.
Empirical testing against the published WinoBias, StereoSet, CrowS-Pairs, and BOLD benchmarks, plus harmful-output safety tests. Scores on a 0–100 scale with confidence intervals.
Downloadable compliance certificate and audit results for board and procurement review, with a tamper-evident record that can be re-verified.
View Example ReportThe platform evaluates AI models empirically against published bias and safety benchmarks, and maps the results to 40 provision-level requirements across ten anchor frameworks, including the EU AI Act, GDPR, NIST AI RMF, and OECD AI Principles. Those frameworks are drawn from our analysis of 49 international instruments.
Each assessment produces scores on a 0–100 scale with confidence intervals, a result for every mapped requirement along with how it was measured, and prioritized recommendations.
WinoBias
StereoSet · CrowS-Pairs
BOLD
Safety & toxicity tests
10 frameworks · 40 requirements
Re-verifiable audit hash
Results mapped to 40 provision-level requirements across ten anchor frameworks, including the EU AI Act, GDPR, NIST AI RMF, and OECD AI Principles.
Bias and safety scores on a 0–100 scale with confidence intervals, so every result states its uncertainty.
A pass or fail result for each mapped requirement, with the measurement basis behind it and remediation recommendations.
Downloadable compliance certificate and audit results for board presentation and procurement review.
Centralized view of audit results across your models, with trends over time.
Each completed audit stores a hash of its results, so any later change can be detected by re-verification.
Provide a Hugging Face model URL or API endpoint. No model weights or training data access required.
Platform runs published bias and safety benchmarks against the model and maps the results to ten anchor frameworks, including the EU AI Act and NIST AI RMF.
Audit results with scores and confidence intervals, a result for each mapped requirement, and prioritized recommendations.
Non-compliant AI systems expose organizations to financial penalties, market access restrictions, procurement disqualification, and reputational damage. Regulatory enforcement is accelerating across jurisdictions.
Independent audit provides defensible evidence of governance controls, reduces remediation costs, and supports regulatory engagement from a position of demonstrated compliance.
Organizations requiring independent AI risk assessment and compliance documentation across regulated sectors.
CTOs managing AI deployment risk and technical governance
Chief Risk Officers demonstrating governance controls
Teams evaluating vendor AI systems for compliance
Investors assessing AI exposure in portfolio companies
Platform outputs are structured for regulatory submission, board presentation, and procurement review.
Submit Hugging Face URL or API endpoint for automated ingestion
Evaluation against EU AI Act, NIST AI RMF, and ISO requirements
Structured scoring across bias, robustness, safety, and transparency
Exportable audit reports with compliance gaps and remediation paths
Each assessment generates structured documentation suitable for regulatory engagement, board review, and enterprise procurement processes.
Severity Grading
Exportable PDF and structured data formats
Remediation Priorities
Exportable PDF and structured data formats
Regulatory-Ready
Exportable PDF and structured data formats
CTOs and engineering leads establishing governance controls for AI deployment pipelines.
Chief Risk Officers and compliance teams demonstrating due diligence and regulatory readiness.
Procurement teams evaluating third-party AI vendor compliance as part of supplier due diligence.
Investors assessing AI governance exposure and regulatory risk in portfolio companies.
Access the platform with complimentary tier:
Text-generating models — chat and completion models, accessed through a Hugging Face model ID or an API endpoint (OpenAI-compatible or custom REST). The tests score the text a model writes, so models that generate no text (masked language models such as BERT, classifiers, embedding models, and vision or audio models) cannot be assessed and are refused with an explanation.
Results map to 40 provision-level requirements across ten anchor frameworks: the EU AI Act, GDPR, NIST AI RMF, OECD AI Principles, the UNESCO Recommendation, IEEE Ethically Aligned Design, and the national frameworks of Canada, Brazil, China, and the United Kingdom.
Bias, using the published WinoBias, StereoSet, CrowS-Pairs, and BOLD benchmarks; harmful-output safety tests; a result for each mapped framework requirement; and an estimated environmental footprint. Each score carries a confidence interval.
No. Assessment is conducted through API evaluation without requiring access to proprietary model weights or training data.
Begin compliance assessment and establish defensible governance controls.
No credit card required • Assessment in minutes • Enterprise engagements available