The AI hiring team for companies that don’t have one.
Talyi posts the role, ranks every applicant with evidence, and screens and interviews candidates — and you approve every call.
What makes it different:
- Learns from every choice you make
- Reliable AI results, not a ChatGPT wrapper
- Keeps you as the driver of all decisions
- SMS/audio/video for candidates
- Integrates your calendar for scheduling
- Scout: your friendly AI assistant
Click to drop an editable line into the draft — fill the blanks, then Generate. Everything stays editable.
Describe the role in plain language, then draft the full description — you can edit everything before saving.
About the role
We're hiring a Barista for our Round Rock café to pull espresso, run the morning rush, train new team members, and keep our regulars happy.
Responsibilities
• Prepare espresso & specialty drinks to spec • Deliver fast, friendly service at peak • Handle POS & cash accurately • Follow food-safety & opening/closing procedures
You need a recruiting tool that works for you.
Current ATS tools were built before AI existed. And not all "AI" is the same. You need a tool that saves you time, provides reliable results, and understands your needs.
Industry statistics
Everything you'd expect — plus a team that does the work.
Keep every table-stakes feature you rely on today. Talyi adds an AI hiring team on top — writing the role, reading résumés, screening, and interviewing. Switch without losing a thing.
Not just what it does — how it actually works.
The demo above shows the flow. Here's the proof underneath it — the scores, the evidence trail, and the question-by-question transcripts each agent produces.
Every requirement, traced to why it matters
- Occupation match & seniority inferred — with a confidence score, not a guess
- Each skill tagged to the role and mapped to the scorecard it will be judged against

Every résumé scored and ranked — with the reason
- Every applicant read and scored against the role’s scorecard — none skipped
- Ranked by fit, each score backed by a plain-English reason you can trace
- Grouped into Outreach-ready / Strong / Possible so you act on the right ones first

Per-skill scores, each tied to the evidence
- Strong / Partial / Not-addressed on every required skill — with the score behind it
- Every rating traces to the exact moment in the recording it came from
- Overall is importance-weighted across requirements, never a black-box number

The transcript, scored question by question
- Live transcript, diarized by speaker as the conversation happens
- Skill coverage tracked per question — covered, in-progress, or not yet raised
- A structured scorecard forms in real time, so every candidate meets one bar
