RapidVue carries the whole interview journey — from AI-led interviews to defensible hire decisions. AI handles the scale and the intelligence. Your team keeps control.

Candidates join from their invite link, pass automated pre-checks in seconds, and converse with Jenny, the AI interviewer, who dynamically tests every skill the role demands.
Recording and transcript run the whole way through.
Screening and scheduling run on autopilot, eliminating recruitment bottlenecks. Track live sessions as they happen and advance candidates on verified evidence.
Hello Priya, thank you for joining today for the GenAI Engineer Intern position. Can you start by sharing your relevant experience with building AI-powered applications?
Yes, certainly. I have built document summarisation and Q&A apps with LLMs and LangChain, using Python, FastAPI and vector databases like Pinecone.
That's great. Can you walk me through the architecture you used for the RAG implementation?
We chunked the documents, stored embeddings in Pinecone, and re-ranked the top matches before passing them to the LLM with citations.
Use the arrows or tabs to switch between the three screens.
A brief note from the hiring manager becomes a full JD, a skill list, a required level and a benchmark per skill.
Resumes are imported in bulk, parsed, matched against the calibrated rubric and ranked - with every exclusion given a reason.
Autopilot generates slots across your window and assigns the strongest matches. No interviewer calendar to chase.
Environment verification before the round, then continuous monitoring: gaze, displays, voices, virtual cameras, automation and AI assistance.
Webcam and screen recording, timestamped screenshots and a complete transcript for every session.
A weighted recommendation with a confidence rating, and evidence cited from the interview behind every dimension score.
A full report and audit trail, plus a generated round-2 interviewer guide built from what round one already established.
Every stage writes to the same candidate record, so nothing is re-keyed and nothing is lost between steps.
See it on your pipeline →Walk the whole path a candidate takes, from the brief that creates the role to the report that defends the decision. Pick any stage, or use the arrows to step through them.
A short brief becomes a job description plus a calibrated skill list, each with a level and a target.
Fifteen capabilities covering the work before, during and after the interview — every one of them backed by evidence your team can review.
A brief note becomes a structured JD with sections you can edit before publishing.
Skills are drafted with a required level and a target benchmark, and must-haves are marked.
Up to a hundred resumes per batch, parsed in the background with a review step.
Each candidate is scored against the rubric, with hard exclusion rules applied first.
Autopilot builds slots across your window and assigns the strongest matches to them.
Candidates join from a personalised link in their invite email. No account to create.
Camera, mic, network, location, displays and environment are all checked first.
Optional gates before the interview, timed server-side and fed into the same scorecard.
Follow-ups are generated from what the candidate actually said, not read off a list.
Watch any interview as it happens, with proctoring signals surfacing in the same view.
Gaze, displays, voices, virtual cameras, automation and environment, watched throughout.
Answer authenticity and prompt-injection attempts are detected and flagged for review.
Webcam and screen recording, timestamped screenshots and the full interview transcript.
Every dimension carries evidence cited from the interview behind the number.
A four-level recommendation with a confidence rating and a round-2 guide if you need one.
RapidVue monitors the session continuously and captures what it sees. Signals are surfaced to your team with the moment they occurred and the evidence behind them - so a person makes the call, not a score. Every one of them lands in the audit trail.