Post-training data operation for AI labs
Vendor sourcing, sample verification, QA ping-pong: the operation of buying data lives inside our pipe. Every task carries a grade and a price, so your lab ingests in cost-effectiveness order until the budget runs out.
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vendors in our pool
15+
under NDA, samples and pricing in hand
13
building Terminal-Bench-style tasks
Coverage
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Terminal Bench (Coding)
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At Delphi, the Greeks built a temple to Apollo, the god of reason, light, and order. Carved at the entrance:
Know thyself.
The temple stands where Apollo slew Python, the serpent of chaos. Nietzsche called this the oldest tension: Apollonian clarity against Dionysian instinct.
Today's agents are Dionysian. They act on instinct, take unpredictable paths, and sometimes fake success: hiding test output, editing files they should not touch, gaming the metric while missing the point.
Delphik is the Apollonian response. A marketplace with honest measurement is only the first step. On the environments you buy, we run post-training trace monitoring and environment hardening against reward hacking: watching how agents behave, with Apollo's reason.
Today, the bottleneck to safe superintelligence is neither research nor engineering. It is large-scale operations infrastructure. We build that infrastructure.
The mission is agents that train predictably. That is what the name means.