Product launches, technical updates, and lessons from building AI for science.
Why we are building autonomous, reproducible AI systems designed for empirical science rather than another conversational wrapper.
Why we are building autonomous, reproducible AI systems designed for empirical science rather than another conversational wrapper.
Deterministic verification gates and sandboxed replay for multi-step scientific inferences.
Custom kernel optimizations for 256k+ context preprints and private institutional weights.
High-fidelity document intelligence preserving tabular ASTs and formula structures.
Zero-leakage inference architecture for institutional universities and pharmaceutical labs.
Isolated computation harnesses verifying algorithmic proofs before hypothesis synthesis.
Grounded citation verification cross-referencing live DOI registers and retraction alerts.
Closed-loop recursive reasoning agents formulating experiments and learning from outcomes.
An interactive sovereign research workspace designed for empirical scientific discovery.
Preventing formula distortion in mathematical physics and quantum mechanical literature.
Automated synthesis pipelines transforming theoretical papers into executable test suites.
Deploying air-gapped laboratory infrastructure across university medical centers.
The foundational verification benchmark suite for empirical artificial intelligence.