For AI labs and model builders
Contamination, self-grading credibility and RL data that teaches nothing. Independent evaluations and environments for labs building agentic models.
Read moreInoku
Three kinds of teams, one question: is the agent's report true?
Inoku works with three kinds of teams. AI labs and model builders need credible numbers on how truthfully their models report their own work, and training data that teaches something. Teams building AI agents need independent evidence that their agent’s “done” is true, to show their customers. Regulated teams deploying agents need a record of what the agent did that the agent cannot touch. Each page says plainly what is built, what is in research, and who comes first.
Contamination, self-grading credibility and RL data that teaches nothing. Independent evaluations and environments for labs building agentic models.
Read moreCustomers lose trust after a false "done". Independent evidence of how often your agent's reports are true, for coding, operations and data agents.
Read moreAudit trails the agent can't touch, EU AI Act timelines and what an independent record of agent actions means for review and audit.
Read moreWe're looking for a small group of teams that build or run AI agents on real systems.
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