We propose Experiment-as-Code (EaC) Labs, a declarative stack that lets AI agents run experiments in physical autonomous labs by compiling declarative experiment configurations down to instrument-level APIs, with safety checks, resource assignment, and job orchestration in between.
EXP-Bench is the first benchmark to evaluate AI agents on research experiment tasks that are semi-autonomously constructed from top-tier ML research papers.
Curie is the first AI-agent framework designed for automated and rigorous scientific experimentation. Curie helps answer your curiosity through end-to-end experimentation automation, ensuring that every step—from hypothesis formulation to result interpretation—is conducted with precision, reliability, and reproducibility.