Built by a recruitment agency that got tired of guessing
Assay is an AI-powered interview platform created by Inuits Krakow, a European IT recruitment agency. We built it because we needed it — and because no existing tool solved the specific problem recruitment agencies face when evaluating technical candidates.
Who built Assay and why?
Assay was built by Jeroen Fossaert at Inuits Krakow to solve the competence gap in technical recruitment.
Inuits is a European IT services and recruitment company with offices in Belgium and Poland. Our recruiters are excellent at sourcing, relationship management, and pipeline coordination. But when a client asked us to evaluate a senior data engineer's system design skills, or judge whether a DevOps candidate truly understood Kubernetes orchestration, we had a problem.
Our recruiters aren't supposed to be technical domain experts. Nobody who hires across dozens of specializations can be. The problem isn't the recruiter — it's the process. Without structured, calibrated interview questions and objective scoring criteria, even the best recruiter relies on gut feel and "seemed knowledgeable."
We looked at existing tools: HireVue (enterprise, video-recording dependent), Codility (coding tests, not interviews), TestGorilla (pre-employment assessments, not live interviews), BrightHire (notes, not scoring). None of them were built for the agency workflow: generate questions from the client's job ad, evaluate a live interview, deliver a branded report. So we built Assay.
What problem does Assay solve for recruitment agencies?
Assay closes the competence gap between what recruiters know and what technical roles require.
Recruitment agencies are asked to evaluate candidates for roles their recruiters can't fully assess. A recruiter sits across from a senior Python developer or a Kubernetes DevOps engineer, runs through questions from a generic template, and judges quality based on confidence and communication style. The client gets a recommendation based on impressions, not evidence.
When it goes wrong — a bad hire in the first 90 days, or a strong candidate rejected — there's no trace of why. No structured evaluation. No per-question breakdown. No evidence from the interview transcript. Agencies using Bullhorn, Lever, or Greenhouse have strong ATS workflows but no assessment layer. The agency's credibility takes the hit.
Assay fixes this by generating interview questions calibrated to the specific job description — powered by Claude (Anthropic) for evaluation and Deepgram Nova-2 for real-time transcription. It scores the candidate's answers with AI that identifies technical signals a non-technical recruiter would miss, and produces a defensible report the client can evaluate. The recruiter's job shifts from "judge technical depth" to "run a structured process" — which is what they're already good at.
Where is Assay built?
Assay is built in Krakow, Poland — European-headquartered, GDPR-native, EU AI Act compliant.
Krakow is one of Europe's strongest technology hubs, with a deep pool of engineering talent and a growing ecosystem of B2B SaaS companies. Assay is built here, tested on real candidates here, and designed for the European regulatory environment from day one.
EU AI Act compliance isn't an afterthought — it's in the architecture. Every AI score includes a human-readable explanation. Every rating is accompanied by evidence from the transcript. Human overrides are logged with full audit trails. No appearance-based data (photos, video, LinkedIn profiles) enters the AI evaluation.
Assay supports interviews in English, Dutch, French, German, and Polish — covering the core European recruitment markets. We're starting with agencies in Poland and the CEE region, with plans to expand across Western Europe.
Built and used atInuits Krakow"We built Assay because we were embarrassed by our own interview process. Our recruiters are great at finding people. But when a client asked us to justify a technical recommendation, we had nothing structured to show them."
Jeroen Fossaert, Founder, Inuits Krakow
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Questions? jeroen@inuits.eu