CVsprings scores candidates with a transparent, rules-based engine — no language model ever reads your candidates' data. Same CV, same job profile, same result. Every time. Provable.
Each candidate assessment shows exactly which rules fired, which skills matched, and why. No black box, no "the model decided." Your client asks why — you answer in one click.
The extraction and scoring engine is fully deterministic. Re-run any assessment months later for an audit and get byte-identical results. Try that with an LLM-based screener.
Every action is logged against a formal assessment schema aligned with EU AI Act traceability requirements. Export the full audit trail per candidate or per role.
No candidate data is sent to third-party AI providers — because there are none in the pipeline. Processing is GDPR-scoped by design, with per-candidate deletion on request.
Every screening tool on the market added a language model between your candidates and your shortlist. It reads the CV, forms an impression, and gives you a score it cannot explain and will not repeat.
Under the EU AI Act, CV screening is a high-risk application. High-risk means you must be able to show your work — to candidates, to clients, to regulators. An impression is not work you can show.
So we made the unfashionable choice: a rules engine you configure, that does exactly what it says, every single time. Less magical. Entirely defensible.
Send us 3 anonymised CVs and your job spec. In a 15-minute call we run them through the engine in front of you — twice, so you can watch the outputs match.
No slideshow, no generic sample data. You leave the call knowing exactly what CVsprings says about your candidates, and why.
Prefer to look before you talk? Start with our one-page EU AI Act checklist for recruitment tooling — no form needed.