Vendor-agnostic by design, LSM learns directly from the chromatograms, spectra, and plate data your instruments produce. It evaluates every result at the level of the actual signal, applying your analysts’ judgment while maintaining traceability and data integrity.

Your scientists train LSM on their reviewed decisions, encapsulating how your lab interprets its instrument data in a governed model. Their judgment can then be applied consistently wherever the method runs.

LSM reaches expert accuracy with 30 to 50 reviewed examples instead of thousands. Further scientist-directed refinement can reach up to 99.9% accuracy on the validated decision. Deterministic outputs deliver repeatable results with zero hallucinations.

Confidence is built into the architecture. Conforming results clear automatically, while uncertain calls go to a scientist for review. Every decision is documented, keeping your scientists in control and supporting GxP requirements.

Your data stays within your approved deployment environment and never mixes with outside data, preserving your sovereignty and institutional IP. Every model version and result is recorded and traceable, supporting data integrity and governance.