The person answering interview questions didn't match the identity verification profile. Multiple corroborating signals gave the hiring team clear evidence before making a decision.
Flagged for review — team had full evidence before proceeding.
Verified technical hiring, powered by AI — 5 free interviews, no credit card
Maya AI conducts your technical interviews while our 15-signal verification engine confirms identity, engagement, and technical depth — so every hiring decision is backed by evidence.
5 free interviews included — no credit card required
*Integrity data points include presence confidence, identity verification, and AI collaboration patterns — documented automatically across every session.

Tools that make your hiring team faster and more confident. You still make every call — we just give you better information to work with.
Maya runs technical interviews for you. She asks follow-ups when something doesn't add up and digs into areas where candidates are vague. Think of her as the technical screener you wish you had time to be.
15 signals run continuously throughout every interview — documenting identity confidence, session integrity, and AI collaboration patterns that manual processes can’t capture.
We don’t block AI usage — we classify whether candidates lead AI or follow it. Hire people who understand the tech, not just prompt it.
Our models use verified interview data to estimate how well a candidate will actually perform on the job. It's data, not gut feeling.
Want to run the interview yourself? Maya sits in the background and whispers suggested questions and flags in real-time. You lead, she supports.
Already have recorded interviews from Zoom or Teams? Upload them and we'll generate a complete integrity evidence report — identity confidence, authenticity verification, and session analysis.
Send a link, let Maya do the heavy lifting, and get a report you can actually trust. That's it.
Share a unique interview link with your candidate. We handle identity verification before they even start — face match, liveness, the works.
Maya asks the technical questions, follows up on weak answers, and documents integrity signals throughout. Your team can watch live or jump in anytime.
You get a clear report: technical scores, integrity evidence, and a job-fit prediction. Everything you need to make a confident hire.

AI is part of how people work now. But your interviews still have no policy, no audit trail, and no integrity evidence. Rigovo closes that gap.
No Evidence
Candidates use AI tools whether you allow it or not. Without an official stance, you're guessing who actually understands the work.
Manual interviews produce notes and vibes, not evidence. When a hire goes wrong, there's nothing to learn from.
Different interviewers assess differently. Two candidates with similar skills get wildly different evaluations.
In remote hiring, you can't be sure who's actually on the call. Phone screens and video intros don't cut it.
Evidence-Based
Maya documents integrity signals throughout every session — presence, identity, and AI collaboration patterns. Evidence that a manual process can't produce.
We verify the candidate's identity continuously throughout the interview, not just at the start. You get a confidence score, not just a checkbox.
Maya evaluates every candidate the same way. No more "tough interviewer" vs "easy interviewer" lottery. Every session produces comparable evidence.
During our beta, we ran 82 live interviews and analyzed 6,824 signal events across 15 signal types. Almost half the sessions had something worth a closer look.
82 beta interviews. 6,824 signal events. Here's the methodology behind our verification — and what it looks like in practice.
Our job success prediction model was validated against real hiring outcomes across the beta cohort (n=82, Jan 2026).
How we measured: Compared Maya’s predictions against 6-month manager performance reviews
12% of beta interviews surfaced insights that traditional screening would have missed entirely.
How we measured: Self-learning signal engine that improves with every interview outcome
Nearly half of beta candidates showed patterns worth a second look — issues invisible to phone screens and resume reviews.
How we measured: Compared against control group using standard screening methods
Real scenarios from our 15-signal verification. Every interview gets this level of analysis automatically.
The person answering interview questions didn't match the identity verification profile. Multiple corroborating signals gave the hiring team clear evidence before making a decision.
Flagged for review — team had full evidence before proceeding.
We don't penalize AI usage — we measure understanding. This candidate used AI tools but couldn't explain their reasoning, revealing a gap between tool use and genuine comprehension.
Classified as AI Passenger — using AI, not leading with it.
Identity, engagement, and technical depth all confirmed. This candidate used AI tools effectively and could explain every decision — exactly the kind of engineer you want to hire.
Integrity Score: 95/100 — recommended to proceed.
Every interview generates a comprehensive audit report with integrity scores, skill evaluations, and actionable recommendations.
Built on Enterprise-Grade Infrastructure
How top engineering teams are using AI-powered verification to make confident hiring decisions — with real data from 82 interviews and actionable takeaways.
“We got tired of watching great engineering teams make hiring decisions without real evidence. So we built an interview process that produces it automatically.”
Every interview produces a verified record of identity, engagement, and technical ability. Make every hire count — start with 5 free interviews.
5 free interviews — no credit card, no commitment
You make the hiring decisions. We just make sure you have the right information when you do.
For more information on how we handle biometric and behavioral data, see our Privacy Policy and AI Ethics Disclosure.
Integrity Evidence from Our Beta Program
We ran 82 real interviews and documented every integrity signal. Here's what the evidence shows.
Presence Verification
Documented candidate presence and engagement throughout each session — camera visibility, gaze patterns, and attention signals
Identity Confidence
Verified face consistency throughout the interview and assessed liveness confidence across every session
Session Integrity
Measured session behavior patterns including input methods, tab activity, and interaction consistency during interviews