Why every recruiting team needs its own AI intelligence layer
Recruiters have become the manual intelligence layer wiring together disconnected systems — and that knowledge walks out the door. Here is the missing layer.
Practical AI workflows for sourcing, screening, and outreach, written by recruiters who run them.
Recruiters have become the manual intelligence layer wiring together disconnected systems — and that knowledge walks out the door. Here is the missing layer.
An AI-native talent data layer that connects your talent pools, normalizes them, and makes them semantically searchable — for you and your AI agents.
A replay: watch Calyflow’s agents source, qualify, and rank technology candidates from a JD and intake notes — for about a dollar a run.
Every workspace now includes LinkedIn people search on Calyflow's own credits — no account, no API key, no setup. Your sourcing agent uses it from day one.
Stop getting generic output. The Calyflow Knowledge Base lets your agents work with your proven strategies, client preferences, and role specifics.
Connect the enrichment tools you already use — ContactOut, Apollo, Hunter, and more — and let agents turn a shortlist into verified, contactable leads.
An AI sourcing pipeline — Plan, Qualification, and Shortlist — that takes a project from blank slate to a scored, ranked shortlist on autopilot.
A new Calyflow mode that researches the landscape for your role and hands you a phased, editable sourcing strategy — before any execution agent runs.
Recruitis is now a Calyflow connector — bring your candidates and jobs in, and put AI agents to work sourcing, screening, and outreach on your own data.
Connect Slack once, point a channel at a project, and your whole team can run AI recruiting agents — sourcing, screening, outreach — by typing a message.