Idler builds evals for coding, finance, science, and defense. Our tasks are fair, frontier-difficulty, long horizon, diverse, and interesting. Customers use Idler tasks to measure how their models stack up against the competition, to check for regressions across model versions, as training tasks, and as high-taste hills for researchers to climb.
Real bugs, features, and refactors in live repos.
Reconciliation, modeling, and long-horizon analysis.
Bio, pharma, and research workflows.
High-stakes capability and stress-testing.
Idler works quietly with frontier labs, turning real operations into reinforcement-learning environments and keeping a neutral record of what models can actually do.
We are hiring environment engineers. team@idler.ai