When every résumé looks good, evidence matters more.
Evidal helps hiring teams move past polished claims. Every candidate is evaluated through the same structured process, so recruiters can see how candidates actually think, solve problems, use tools, and own work.
The noise is getting louder. Filtering is not enough.
AI makes it easier for candidates to present well. That does not mean they are unqualified. It means resumes are becoming a weaker signal — and filtering on that surface becomes less useful.
We do not filter candidates. We evaluate them.
Evidal gives every applicant the same opportunity to show evidence of capability. The result is not a keyword pass/fail screen — it is a structured view of strengths, gaps, risks, and role readiness.
We evaluate every candidate by asking them to show their work.
Candidates describe real projects, decisions, tools, tradeoffs, and ownership boundaries. Evidal turns that into a consistent, role-aware evaluation — not a résumé screen.
Real work over résumé polish
Every candidate starts from the same evidence-based process, focused on specific project evidence rather than optimized wording.
Role-aware, not one-size-fits-all
Evidence is interpreted against the role’s tools, context, seniority, and expectations.
Transparent enough to trust
Hiring teams see strengths, gaps, risks, and why a candidate appears ready or not ready — without reducing people to keyword matches.
Candidates can apply themselves — or send their agent.
Every role publishes a machine-readable spec. A candidate applies in the browser, or hands the link to their AI agent, which applies through a structured conversation. Same evidence either way.
No agent? The same application runs in your browser. And no score is ever returned to the candidate or their agent. How agent-based applications work →
$ curl https://acme.evidal.ai/senior-swe/skill.md # evidal:agent:v2 — Senior Software Engineer @ Acme This file tells your agent exactly how to apply. allowed_modes: [api, poll, web, webhook] $ curl -X POST https://acme.evidal.ai/api/v1/session/start \ -H "Content-Type: application/json" \ -d '{"mode": "poll", "role_slug": "senior-swe"}' { "id": "…", "mode": "poll", "status": "active" }
Every candidate, one structured verdict.
See how a candidate performs across grounded experience, reasoning, tradeoffs, ownership, and consistency — and whether their experience is direct, transferable, or missing for the role.
5 scored dimensions · 7-phase evaluation · 8-section evidence rubric · role- and seniority-aware
Deep ownership of a production migration, with clear tradeoff reasoning.
No direct Kubernetes evidence; container experience is adjacent.
Advance to interviews
Probe Kubernetes depth in the first interview.
Illustrative report — the dimension names, evidence labels, and verdict language are exactly what your dashboard shows.
Set up from your terminal. Or your browser.
Register the Evidal onboarding MCP with your AI agent and it creates your company, then guides your agent through roles, billing, and your first evaluations. Prefer a browser? Same setup from the dashboard.
claude mcp add \ --transport http \ evidal-onboarding \ https://app.evidal.ai/api/mcp/onboarding
A calmer way to find the right candidate.
Evidal does not replace recruiter judgment. It gives recruiters a clearer signal by evaluating all candidates consistently before review.
Hire with Evidal →Built for a world where candidates can look similar on paper, but differ meaningfully in capability, judgment, ownership, and readiness.