Talent Agents
AI agents that own the work.
Not tools that assist your team. Agents that own entire workflows — end to end. Powered by your data. Configured in Studio. Observed and iterated by your TA team without writing a line of code.
See the Candidate Agent →Owning a workflow is not the same as automating a task.
A task automation runs a rule. An agent owns an outcome. The Candidate Agent does not just answer a pre-written FAQ. It understands the candidate's intent, loads the relevant context, reasons about the best response, and acts. If the candidate uploads a CV, the agent matches them to roles. If they ask a question the knowledge base does not cover, the agent escalates gracefully.
This distinction matters because it changes what your TA team actually does. When an agent owns the first-touch workflow, your team stops managing logistics and starts making decisions.
Task automation
Runs a predefined rule. Fails when the input deviates. Requires constant maintenance as processes change.
An agent
Understands intent. Reasons about context. Acts appropriately. Learns from outcomes. Gets better over time.
The agent family
Four agents. One end-to-end hiring workflow.
Candidate Agent
BetaYour careers site, with an agent inside.
Candidate questions, job matching, CV capture, job alerts, and first-touch resolution on your careers site.
See the full product page →Screening Agent
Coming soonStructured screening, at scale.
Structured screening conversations. Evaluates candidates against role criteria and writes results back to the ATS as structured notes.
Join the waitlist →Sourcing Agent
Coming soonProactive outreach. Qualified pipeline.
Proactive candidate outreach and re-engagement. Identifies warm candidates from your talent pool and initiates contact.
Join the waitlist →Scheduling Agent
Coming soonInterview scheduling, end to end.
End-to-end interview scheduling between candidates and hiring managers. No TA team involvement required.
Join the waitlist →Under the hood
Every agent runs on the Talent Agent Engine.
A six-step reasoning loop purpose-built for hiring: intent classification, context loading, orchestration, generation under constraint, validation, and a learning loop that feeds resolution data back into agent improvement. Not a general-purpose AI framework pointed at recruiting. A system built from the ground up for this specific domain.
See the full architecture →Ready to see what your hiring looks like with agents?
We will show you the platform on a hiring setup like yours. No generic demo. Takes 30 minutes.