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04
Talent
Hiring has never been slower or more costly.
Manta runs it end to end.
In talent, Manta runs hiring from end to end, sourcing, screening and interviewing across a talent graph of more than a billion profiles, every decision held by a named person and fully auditable.
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The problem
Hiring is the last high-judgment decision in the enterprise still made by hand. The judgment that matters gets buried under manual coordination, so the process stays slow, expensive, and hard to defend when a decision is challenged. And the cost is concrete: at 15 to 25% of first-year salary per placement, every five agency hires cost a full extra salary in fees alone, for access the company could own.
Manta’s answer
Manta runs the hiring process end to end, sourcing, screening and interviewing across a talent graph of 1B+ profiles, while every decision stays with a named human and remains fully auditable.
Measured
95%
Booking rate from cold calls
80%
Of the hiring process automated
Operational friction
Enterprise hiring has quietly become one of the most expensive manual processes in the business. Over seventy-five years, every new tool, job boards, LinkedIn, the ATS, generic AI, added a layer without removing work. A recruiter's week is consumed by sourcing, screening, scheduling and chasing, the low-judgment middle of the funnel. Hiring decisions, the part that actually matters, get the least time. And in regulated sectors, almost none of it is reliably auditable: when a candidate is rejected, few teams can show exactly why.
How Manta solves it
Autonomous execution
Three modules: Sourcing (role spec, headhunting across the graph, multi-channel outreach), Assessment (structured testing, AI interviews, ranked shortlists, scheduling), Governance (every score logged to a named human, bias audit, full decision log).
Reasoning engine
Deterministic formal logic. Candidates scored against the firm’s own criteria, every recommendation traces back to the rule and the data.
Owned knowledge graph
Candidates, companies, roles, skills and outcomes stored once. A static profile database becomes a living model of the firm’s labour market that compounds with every hire.
Cost architecture
Inference paid once, then plateaus, so screening more candidates does not scale cost the way recruiter or agency headcount does.
Sovereign deployment
EU-built, GDPR-native, bias-audited, on-prem option. Built to satisfy the EU AI Act, ISO 27001 and hiring-specific law (NYC Local Law 144, Colorado SB205, California FEHA).
Works with your stack
Client results
I thought we’d be years away from this. I just wanted help scheduling candidates. The effectiveness and simplicity is shocking.
Pilot customer
See what Manta could do in talent.
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