Questions,answered.

Talara is an AI-native, agentic ATS (applicant tracking system). Tally, its AI, uses more than 190 tools to draft roles, source, screen, schedule, and build offers, but every consequential action requires an explicit human approval enforced at the database level, and the platform keeps an immutable record of every decision.

An agentic ATS is an applicant tracking system where an AI agent does the recruiting work using many tools, while a human approves every consequential decision. It differs from a traditional ATS, which only stores and tracks candidates. Read the full definition.

A person stays responsible for every consequential decision, even when software does the work leading up to it. No candidate advances, no offer sends, and no role closes without a recorded human approval. The gate is a database constraint, not a setting that can be turned off. More.

Talara’s audit log carries resource identifiers rather than personal data, so GDPR erasure requests do not destroy your records. For the EU AI Act, which classifies hiring AI as high-risk, Talara satisfies the requirements structurally: documented human oversight, transparency, bias monitoring, and a complete audit trail.

Yes. The Model Context Protocol is foundational to Talara, not bolted on. Tally’s tools are exposed over MCP, so you can reach Talara natively from Claude or any MCP client and run real recruiting work, with the same human-approval gate enforced everywhere.

Two audiences at once: the operators who run hiring day to day, who get their time back as Tally handles the busywork, and the executives accountable for it, who get a provable, defensible record of every decision.

Talara pricing scales with your team and hiring volume. Every partnership starts with a structured 60-day proof of value, with clear success criteria and your data kept yours. Get a quote.