Deaimer develops reproducible benchmarks that measure whether AI agents can complete difficult technical work — not simply produce convincing responses.
Each benchmark in Deaimer's portfolio targets a distinct set of agent capabilities, built and validated using the same reproducibility and integrity standards.
An audited benchmark for whether AI agents can safely recover unfamiliar, production-like broken systems — evaluating functional recovery alongside state safety, durability, integrity and evidence quality.
Deaimer's benchmark portfolio is expanding into additional agent capabilities and specialist domains. Further releases will be announced after validation.
Tasks are modeled on real engineering work rather than synthetic exercises designed to be easy to grade.
Every environment resets deterministically, so results can be verified and repeated independently.
Grading relies on verifiable checks and recorded evidence, not subjective judgment calls.
Tasks undergo adversarial review to close off shortcuts, data leakage, and reward-hacking paths.
Discuss a private ColdStart evaluation, or have Deaimer independently validate your existing agent task suite.