The compliance and regulatory layer for AI-assisted hiring.
Fast CV processing, candidate integrity checks and governance for recruiting and workforce decisions with instant written and scored audit trails.

Governed hiring decisions at enterprise scale.
Smart Sifty sifts, sorts and ranks high volumes of CVs and resumes at scale and speed. It flags possible integrity concerns, including fake CVs, misrepresentation and indicators of possible malicious actors, for human review. It also addresses regulatory and compliance challenges, helping mitigate legal, compliance, regulatory, reputational and financial risk.
For every candidate decision and recommendation, Smart Sifty instantly produces an audit trail with a written explanation and scored assessment, at scale and speed, while preserving meaningful human oversight.
- Fast sifting, sorting and ranking against defined job criteria
- Possible fake CVs, misrepresentation and malicious-actor indicators flagged for human review
- Instant written explanations and scored assessments for every candidate decision and recommendation
- Meaningful human review and accountability
- Audit trails to support regulatory, compliance and client scrutiny
Employment AI is a high-risk use case.
The EU AI Act classifies employment-related AI as high risk. Scrutiny is also increasing across US federal, state and local jurisdictions.
A governance layer, not another replacement system.
Smart Sifty sits alongside existing ATS and CRM infrastructure. It adds explainability, auditability and human accountability without requiring customers to replace the systems they already use.
In market and commercially engaged.
Commercial progress includes a three-year contract, contracted customers, signed MOUs, enterprise engagement, and integration and onboarding activity.
Smart Sifty helps organizations prove that AI-assisted hiring is controlled, explainable and accountable.
Smart Sifty combines speed and scale with candidate integrity checks and decision assurance, helping mitigate legal, compliance, regulatory, reputational and financial risk.
