Formic AI

Toronto-based Formic AI has launched Boreal, an explainable language model built for organizations demanding artificial intelligence. Instead of probabilistic text generation, Boreal transforms unstructured documents into a structured knowledge graph. Answers are checked against original sources, with reasoning steps logged end to end.

Chief executive Daniel Escott said trust depends on reviewing conclusions and evidence paths. The system blends neuro-symbolic analysis with generative drafting, blocks unsupported claims, and lowers compute needs through precomputed graph traversal. Boreal supports on-premises, air-gapped deployment and governance over existing tools.

Want to know more? Check out the source code on LegalTech.ca.

Toronto-based Formic AI has launched in Canada with an enterprise platform designed to deliver transparent, verifiable search results for organizations handling sensitive information. Positioned as a Made-in-Canada alternative to opaque AI systems, the platform emphasizes explainability, operational efficiency, and alignment with Canadian governance standards.

Each response includes citations drawn from a company’s own documents, allowing teams to validate accuracy and track data sources. CEO Daniel Escott and co-founder Varun Ranganathan said the goal is to build trust through verification rather than speculation. With a lightweight compute footprint, Formic AI targets regulated sectors where accuracy and provenance are essential.

Want to know more? Check out the source code on LegalTech.ca.