The AI-native applicant tracking system
Talvora sources, screens, verifies, schedules, and interviews candidates — so your team spends its time on decisions, not coordination.
Interview in progress
Aira · coding phase
13
AI agents working your funnel
0–100
resume scores in seconds
5
scorecard dimensions with quoted evidence
24/7
self-serve scheduling and interviews
01
Type a title and a few bullets — the JD writer drafts the posting in your voice. Publish to your careers page (Google for Jobs built in) or let the sourcing agent find passive candidates.
02
Every resume is scored against your requirements in seconds. Digital footprint scans verify the claims with cited sources, and your existing talent pool is re-ranked for the role.
03
Timed take-home exercises with AI grading for volume, and live AI voice interviews with a shared coding pad for finalists — proctored, recorded, and consistent for everyone.
04
Scorecards quote the transcript verbatim, and the decision brief agent writes a hiring-committee memo comparing your finalists. You make the call; the right email goes out automatically.
Every agent produces evidence you can audit — scores with reasoning, claims with sources, quotes with transcripts. Nothing moves a candidate without you.
Structured profiles and 0–100 scores against your exact requirements — skills match, experience relevance, trajectory, red flags, and questions worth probing.
GitHub activity, personal sites, talks, and posts checked against the resume. A credibility score with cited sources — never guesswork.
An agent that finds passive candidates through their public work, scores them with evidence, finds contact emails, and drafts honest, personalized outreach.
A realtime voice interviewer — with the persona and voice you choose per role — runs structured interviews with a live coding pad it can read and execute.
In-browser face monitoring, tab-switch detection, and paste blocking produce an advisory integrity report. Video never leaves the candidate's machine.
Stage changes trigger human-sounding emails, and replies land in an inbox where an agent classifies, drafts answers, and escalates anything sensitive.
Timed coding exercises in the browser with the same pad, runner, and integrity guards as live interviews — graded by AI the moment they are submitted.
Pick 2–4 finalists and get a hiring-committee memo: ranked verdicts, strengths, concerns, and side-by-side comparisons — every point tied to cited evidence.
A Cmd+K assistant that answers questions over your own data — strongest candidates, who is stuck, why someone scored what they scored — with links to the records.
The short version: agents do the repetitive work, humans make every decision.
No. Every agent output — scores, footprint reports, integrity signals, scorecards — is decision support. Stage moves are yours; the only automated emails are ones you have explicitly set to auto.
A realtime voice agent follows a plan generated from the job and the candidate's resume: introduction, background, technical questions, then a coding exercise on a shared pad where it reads and runs the candidate's code. Everything is transcribed.
Yes. Before the interview starts, candidates pass a mic and camera check and give explicit consent to an AI-conducted, recorded, transcribed, and monitored interview.
The sourcing agent searches public professional evidence — GitHub, personal sites, talks, posts — scores each prospect with cited sources, and only uses publicly listed contact details. Every outreach email says why the person was contacted and carries a one-click opt-out.
A Supabase project, an OpenAI API key, and optionally a Resend account for email. Deploy to Vercel, run the migrations, and you can post your first job in minutes.
Free to start. Your careers page, pipeline, and AI interviewer are ready the moment you sign up.