Ethical hiring AI, delivered via API.
Integrate explainable and auditable hiring intelligence without building governance and validation logic from scratch.
- Modular APIs for anonymization, evaluation, and analytics
- Repeatable, reproducible outputs
- Designed for governance in regulated environments
Architecture
Build ethical hiring features into your product.
BlindStairs APIs let you embed ethical hiring capabilities without building complex governance, validation, or fairness logic from scratch.
Blind screening and anonymization
Produce anonymized, structured candidate profiles for fair early screening.
Criteria-based evaluation
Produce reproducible scores against formalized job criteria.
Explainable analytics
Produce traceable outcomes and explanations.
Modular API architecture.
Use only what you need. Each module can be integrated independently or combined in a full evaluation pipeline.
Anonymization API
Input
Unstructured or semi-structured profile data
Output
Structured, anonymized representation
- Removes direct identifiers and reduces indirect demographic leakage
- Designed for early-stage screening
Evaluation API
Input
Anonymized profile + formalized criteria
Output
Reproducible score and condition-level results
- Repeatable evaluation (same input -> same result)
- Built for criteria-based scoring
Analytics and Audit API
Input
Validated evaluation results
Output
Explanations, audit records, governance metadata
- Supports internal review and compliance processes
- Machine-readable audit outputs
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Repeatable and validated by design.
BlindStairs APIs are designed to produce stable and reviewable outputs, essential for regulated and high-impact decision contexts.
- Repeatable processing: no stochastic scoring at inference time
- Stability checks: equivalent inputs produce consistent outputs
- Validation gates: automatic checks before results are returned
- Same profile under the same criteria always produces the same result
Validation mechanisms are internal to the system and documented for review.
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Explainable outputs, not black boxes.
Explanations are designed to be consumable by both machines and humans.
- Criteria-level evaluation results
- Clear linkage between inputs, conditions, and outcomes
- Machine-readable audit records
Score: 78 Criteria met: - Required skills - Experience level - Optional certification (not met)
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Designed for enterprise deployment.
- API-first (REST / JSON)
- Flexible deployment: cloud, private cloud, or on-premise (where required)
- Stateless requests where applicable, to support scalable integration
- Designed to integrate with HR systems (ATS), HR platforms, and marketplaces
BlindStairs does not require access to sensitive personal identifiers for evaluation outputs.
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Security and privacy by design.
- Data minimization principles
- Anonymization at early stages
- Role-based access to outputs
- Designed to support GDPR-aligned processing
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API documentation and onboarding.
API documentation is available upon request and shared under NDA when required.
- OpenAPI and endpoint documentation
- Integration guides and examples
- Governance and validation notes
- Test environment access (if applicable)
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