AI-generated digital twin of any candidate. Built from their CV, public profiles and assessment results. Your hiring manager can rehearse the interview against the twin — see how the candidate likely responds before spending real time with them.
Bad interviews waste everyone's time. With Digital Twin, the manager runs a 5-minute simulated interview with an AI agent trained on the candidate's actual profile — predicting communication style, depth on key topics and likely red flags. Show up to the real call already knowing what to probe.
Persona built from CV, GitHub/LinkedIn signals, prior interview transcripts and assessment results. Communication style and seniority are calibrated to actual signal in the data.
The twin highlights areas where the candidate's profile is thin or contradictory. Your real interview can focus there instead of the obvious strong topics.
Quick rehearsal: managers run a 3–5 question simulated interview before the real call. See likely responses, identify probing questions, calibrate your bar.
Twin flags where the CV claims contradict assessment results or prior interview answers. "5 years TypeScript" vs. weak working-memory score on syntax tasks gets surfaced.
New hiring managers practice on twins to learn your interview rubric without burning real candidate time. Onboard a new interviewer to the team in a day, not a quarter.
The twin is a synthetic stand-in. Real candidates never see practice attempts. No bias from "I rehearsed with this person already" — the twin is reset on every run.
Full async interview, transcript and AI scoring in place. Twin training data is now ready.
In ~30 seconds, the twin is built from CV + interview transcript + assessment scores + public profiles. Communication style and depth are calibrated.
5-minute rehearsal surfaces probe areas. The manager walks into the real call with sharper questions and a calibrated bar.
Source: Default twin simulation flow, 2025
Source: Pilot deployment A/B benchmark, 2025
Source: Production p95 latency, 2025
When the candidate's time is precious, a 5-minute rehearsal pays for itself many times over. Sharpen probing questions before the real conversation.
New hiring managers learn your rubric on twins, not real candidates. Faster onboarding, no risk to real candidate experience.
Each panel member rehearses against the same twin to calibrate questions and avoid duplication. Real interview is more efficient and covers more ground.
It's a calibrated simulation, not a prediction with truth-claims. We're explicit that the twin is a synthetic persona modeled on signal from the candidate's own materials. Use it to plan questions, not to make hiring decisions.
Multi-agent AI simulates real team dynamics — before you hire, promote, or reorganize.
Your talent database is a graph, not a list. Find hidden connections, skill gaps and internal-mobility paths.
Autonomous AI agent with 17 hiring intents. Semantic candidate search across your database in 2 seconds.
