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Company Description
BlindStairs is an audit-ready AI talent platform that helps organizations make faster, fairer, and fully defensible hiring decisions without ripping and replacing their existing systems. Built to integrate natively with major ATS platforms such as Greenhouse, Workday, Lever, and SAP through a universal API, it standardizes evaluation logic across the entire talent lifecycle and auto-generates transparent, explainable audit trails for every decision. The solution spans five connected stages: Attract, where inclusive, compliant job descriptions and pay transparency are applied consistently across regions; Screen, where anonymized, merit-based logic surfaces top candidates based on verified skills rather than background or labels; Evaluate, where interviews and assessments are captured in structured, comparable data and scored against a unified framework; Decide, where thresholds and rationale are documented and side-by-side comparisons are grounded in objective evidence; and Defense, where full traceability, fairness reporting, and chain-of-custody records are available on demand. Designed for compliance-first environments, BlindStairs aligns with GDPR, Equality Acts, EU AI Act requirements, and emerging pay transparency rules, giving enterprise HR, public sector teams, and legal and compliance stakeholders a defensible standard that scales. Results reported by users include a 50 percent reduction in manual screening time, a 30 percent increase in shortlist diversity, and a 95 percent candidate trust score, reflecting the platform’s emphasis on transparency and consistency. For teams without an ATS, a plug-and-play hiring portal powered by the same logic offers rapid deployment, while partners and ATS providers can embed the safety engine to deliver compliance as a service. Supported by ongoing R&D including the Unbias AI initiative, BlindStairs provides the decision infrastructure modern talent teams need to reduce operational drift, mitigate legal and reputational risk, and unlock better hiring outcomes across technology, professional services, and public sector use cases.
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