AudaciousThe supply layer for human labor.
Terac is the expert labor MCP: the supply layer for human work in a world where AIs run companies and call on people on demand. Agent-run companies won’t need employees, but they’ll still need people. Terac is a panel of verified experts, doctors, engineers, lawyers, operators, parents, hobbyists, plus an AI moderator that screens, interviews, and verifies any of them on demand. Companies integrate via API to source the exact human they need, route the work, and pay out automatically on verified completion.
Zac Baker
ML researcher at MIT; previously an ML engineer at Radical Health. Studied CS at UCL. He and Jack have known each other since childhood and have been building together ever since. Hiring manager for this role.
Jack Blair
Previously co-founded Tailed, a fraud-detection tool (acquired).
Why they built it.
When they started Terac, Zac and Jack spent months talking to researchers across UXR, market research, and AI to find where the industry was breaking down. One theme came up constantly: finding high-quality participants and experts is still far too hard, and it only matters more as AI moderators and AI-native workflows raise the bar for participant quality. Researchers need verified expertise, not just completed screeners. That’s why they built Terac.
Source the exact human, on demand.
Today humans do most of the world’s work with the help of AI. Soon AI will do most of the work with the help of humans, and the bottleneck won’t be code or capital, but access to the right person at the right moment. Terac is the marketplace that closes that gap.
Experts across every field
Doctors, engineers, lawyers, operators, parents, hobbyists, recruited and verified so you reach real, qualified people.
Screen, interview, verify
An AI moderator screens, interviews, and verifies any expert on demand, over voice, at a scale a human team never could.
Call a human like a tool
Companies integrate via API to request the exact human they need and route the work, an MCP for expert labor.
No overhead, just the result
Automatic payout on verified completion. No vendor outreach, no scheduling, no incentive overhead, result returned to your agent or your team.
- “Find every cardiologist who has prescribed a GLP-1 in the past 90 days, and ask them why.”
- “Hire 100 Solidity engineers to label adversarial smart-contract examples for a frontier model.”
- “Source 200 SMB owners in the EU and interview them about how they’re handling the new VAT rules.”
The team’s first offsite · Rio de Janeiro
Stripe-level infrastructure for human capability.
Jobs have been getting shorter for centuries: stone-age hunting was lifelong, the factory was thirty years, an Uber trip is a single ride. As agents take on more of the world’s work, the marketplace that pairs them with humans for the parts they can’t do themselves becomes infrastructure.
Agents run the company, humans do the parts they can’t
Agent-run companies won’t have employees, but they’ll still need people. Terac is the default interface between AI systems and human expertise.
Genuinely hard to build
Panel quality, voice moderation, conversational analysis, marketplace dynamics, and trust, the parts that make this defensible.
Live and growing fast
Companies are already sourcing verified experts through Terac on demand, real usage in production, not a roadmap.
Founding team, early enough to shape it
A build-the-core hire, not a fill-a-seat one. You’d own systems and set direction as the company scales.
Backed by Emergence · SignalFire · Audacious · SV Angel · Z Fellows. $9M raised.
What they’re hiring for.
An engineer to build the product and the agent systems behind it, working directly with customers. Hiring manager is Zac, and the timeline is ASAP.
Engineer
- Own product and agent systems end to end, autonomous and high-agency from day one.
- Work directly with customers, translating what research teams need into what gets built.
- Bring founder mentality: entrepreneurial, technically cracked, ideally someone who’s taken a swing at building a company.
- Move fast in an early team and be comfortable putting in the hours to build the core.
Build the supply layer for human labor.
An early engineering role at a company scaling fast, backed by $9M from Emergence, SignalFire, and Audacious, building the default interface between AI systems and human expertise. High agency, real ownership, customers on the other side of the work.