Trylco

At Trylco, we believe skills should be demonstrated, not inferred. Technical hiring has a fundamental problem: the way we evaluate engineers often looks very different from the work we actually hire them to do. Candidates may be asked to solve abstract problems in artificial interview environments, while real engineering involves debugging, reasoning, using tools, navigating codebases, working with AI, and making decisions in context. Trylco is built to close that gap. We help companies evaluate engineers on the work they'll actually do through simulation-based technical evaluations. Candidates work on realistic, job-relevant problems in an environment designed to reflect how engineers work on the job. Instead of relying on a handful of interview answers, hiring teams get richer evidence of how candidates think, solve, reason, use tools, and execute. Our approach is simple: Real work - Evidence - Human judgment We use technology and AI to help create and surface meaningful evidence from the evaluation. But AI doesn't decide who gets hired. Evidence informs. Humans decide. For hiring teams, this means spending less engineering time on repetitive technical interviews while gaining a more relevant view of a candidate's ability. For engineers, it means an opportunity to demonstrate how they actually work not just how well they perform in an interview. We're not trying to eliminate technical interviews or dismiss existing evaluation methods. Coding problems, interviews, and other assessments can provide useful signals. The question is whether they provide enough evidence of how someone will perform the actual job. What if technical interviews looked more like actual engineering? That's what we're building.