CannoliBytes develops custom internal software for research laboratories and technical groups, including analysis systems, automation interfaces, and experimental workflows. When a problem appears across multiple projects, it is generalized into reusable infrastructure, such as the Chemical Verification Engine for evaluating AI-generated chemistry.

Chemical verification evaluates whether a generated chemical procedure is internally consistent and complete before experimental execution.

Language models can produce plausible procedures that contain incompatible conditions or merged experimental regimes. Verification detects these issues before lab use.

No. The system evaluates the correctness of the description itself, not the chemical yield or success probability.

Reaction prediction proposes products. Chemical verification evaluates whether the procedure describing a reaction is coherent.

It is a consistency evaluation layer, which can be used as part of a safety workflow but does not replace human review.