Platform
One AI. 190+ tools. Your whole pipeline.
Talara is an AI-native, agentic ATS. Tally, its AI, runs the work of hiring end to end, and a human approves every consequential step. No black boxes, no separate bots, no new tab.
What is the Talara platform?
Talara's platform is an AI-native, agentic applicant tracking system. A single AI, Tally, uses more than 190 tools to draft roles, source and screen candidates, schedule interviews, capture scorecards, and build offers, and every consequential action waits for a human's approval, recorded in an immutable audit log.
How it works
One assistant with a toolbox, not a wall of features.
Tally orchestrates the whole pipeline from one place: it drafts the role, posts it, sources passive talent, reads the inbound, scores fit with visible reasoning, books interviews, captures scorecards, and builds the offer. The tools that touch a candidate never act alone, they wait for a person.
One assistant, 190+ tools. Ask in plain language; confirm with a click.
Fill the pipeline and read the inbound. Fit scores show their reasoning; you decide who advances.
Real slots, meeting links, a notetaker, and transcripts turned into structured scorecards.
Draft, send, negotiate, and track offers with pay-range guardrails and full version history.
Every action logged with actor, subject, and before/after. Immutable, attributable, exportable.
190+ tools exposed over the Model Context Protocol. Run the ATS from a Claude conversation.
The human gate
Nothing consequential moves without a person.
Advancing a candidate, sending an offer, or closing a role each waits at a gate only a human can open. It is enforced as a database constraint, not a setting that can be switched off, and the platform proves it: every action is written to an immutable audit log with who did what and when. Read how human-in-the-loop works →
See the agentic ATS in your own pipeline.
Book a demo and see the agentic ATS on your own pipeline.