Lever is a collaborative candidate database and pipeline tracker. It helps teams share notes, run outreach sequences, and keep the process organized.
EvexAI is an interactive vetting environment. It measures what candidates can actually do — coding, security, systems thinking, and communication — and only then puts them in front of your team.
Lever feels modern. The interface is clean. Collaboration is easy. Recruiters and hiring managers can leave notes, move candidates between stages, and keep everything in one place.
But the core problem never goes away.
You still start with resumes. You still advance people based on how well they wrote their experience or how closely their background matches the job description. Technical verification is either skipped or bolted on through some external tool that doesn’t feel native. Scorecards get filled out after interviews, and the scores often reflect interviewer mood, bias, or how charming the candidate was rather than clear evidence of ability.
You end up with long comment threads and carefully managed pipelines full of people who have never been truly tested on the work. Senior engineers still get pulled into screens that go nowhere. Final-round candidates still surprise you when the real gaps show up. The system tracked everything. It just never answered the only question that matters: can this person actually perform?
EvexAI runs the evaluation before your team spends time.
Candidates complete realistic work trials inside secure sandboxes. They write code, design systems, handle security constraints, and demonstrate how they communicate and whatever else the job requires under pressure. The output is objective capability scores and performance evidence, not opinions.
When you need to hire, you describe the exact profile you’re looking for. You receive a shortlist of people who have already been measured. Each candidate comes with clear proof of what they can do. Your team only meets people who have already shown they can do the work.