Tokenive ran the FRIL programme alongside the Startup Summer Accelerator Showcase at The University of Edinburgh.

We eliminate three foundational risks in enterprise AI: 1. The Model Verification Gap: Enterprises cannot prove that an output is the genuine result of a promised model applied to a specific input. Behind a black-box, there is no way to verify which model processed a query. 2. Plaintext Data Exposure: Standard inference requires inputs to be in plaintext during execution, forcing enterprises to rely on trust rather than cryptographic guarantees for privacy. 3. Unauthenticated Data Ingestion: AI systems cannot distinguish between authentic source files and forged documents (such as manipulated PDFs or falsified records), leaving pipelines vulnerable to tampering and data poisoning.