Talara is an AI-native, agentic ATS (applicant tracking system). Tally, its AI, uses more than 200 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.

What does human-in-the-loop mean in hiring?

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.

How does Talara handle GDPR and the EU AI Act?

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.

Is Talara MCP-native?

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.

AI-native talent acquisition

The agentic ATS. Automate the work, own the decisions.

Talara is an applicant tracking system with an agentic AI at its core. Tally builds your career site from scratch, writes and posts the roles, sources and screens candidates, schedules interviews, and drafts offers, all across 200+ tools, while your team approves every decision that matters.

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GDPREU AI Act readySOC 2 Type II readyMCP-native

Why now

Hiring went fast. Then it went out of control.

Six tools, forty tabs, AI making calls no one can explain. The EU AI Act made hiring AI high-risk. A decision you can’t defend is a decision you can’t make. Speed isn’t the moat anymore. Provable speed is.

Tally

Tally reads every candidate. You make the call.

It scores the fit, surfaces the top matches, and shows the reasoning behind every number, from a candidate’s track record to where they outrank the field. You see the work, then decide who advances.

Every score carries its confidence and reasoning. No black-box ranking.

app.talara.app

In practice

Ask in plain language. Confirm with a click.

“Schedule an interview with Corene for the Content Marketing role.” Tally checks calendars, proposes real slots, attaches the link, and waits. You pick the time and confirm. The invite, the notetaker, the scorecard, all handled.

Tally proposes; you decide. Nothing is booked until you confirm.

Tally proposing three interview slots with a meeting link and notetaker toggle to confirm.

MCP-native

Your whole ATS, native in Claude.

The Model Context Protocol is foundational to Talara, not bolted on. Its 200+ tools are exposed over MCP, so you can draft roles, source, screen, schedule, and build offers right inside a Claude conversation, or any MCP client. Same platform, same data, no new tab.

The human-approval gate holds even when the work runs from Claude.

A Claude conversation using Talara over MCP to manage roles, the pipeline, interviews, and offers.

The gate

Everything Tally does flows toward one point. A person opens it, or it doesn’t move. And the decision is written down for good.

Advance a candidate, send an offer, close a role. Each waits at a gate only a human can open. Enforced in the database, not a setting.

The record

It can prove every step.

Every action carries the actor, the subject, and the before and after. Immutable. Attributable. Exportable. When a regulator or your board asks how a decision was made, the answer is already written down.

The audit log: a row for every action, with who, what, and the diff.

Talara's audit log: every action with its actor, subject, source, and before-and-after.

Two jobs, one platform

Speed for your team. Proof for your board.

If you run the team

Your recruiters stop operating software.

Hours back, every week. Tally drafts roles, fills the pipeline, screens inbound, and books interviews. Your team spends its time on judgment.
Fits the stack you run. Native sync with Greenhouse, Lever, iCIMS, and Workday HCM. Talara connects to Gmail and Google Calendar to send candidate emails and schedule interviews on your behalf.
No black boxes. Every step shows its reasoning; every consequential one waits for your yes.

If you answer for it

Move at machine speed without growing your risk.

Built for the EU AI Act. Human oversight, transparency, bias monitoring, audit trail. Structural, not policy.
Every decision is attributable. A named person, a timestamp, a before and after.
Provable over MCP too. The human gate holds even when tools run from Claude.

Compliance

GDPR · EU AI Act HIGH-RISK ready · SOC 2 Type II ready · CCPA · EEOC

Integrations

Greenhouse · Lever · iCIMS · Workday HCM · Slack · Teams · Gmail · Google Calendar

Built open

MCP-native · use Talara natively in Claude

Make it simple & compliant.

Move at machine speed without wondering what an audit will find. Tally does the work, humans make the calls, and the record keeps itself.

Questions

: Talara is an AI-native, agentic ATS (applicant tracking system). Tally, its AI, uses more than 200 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.
: 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.
: 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.

See it on your own pipeline

See Talara in action.

Tell us about your hiring and we’ll show you exactly how Talara runs it, with a human on every decision. We partner with a limited number of teams, so every rollout is hands-on.

Book a demo