Company intelligence
Tokenive
Building the institutional trust infrastructure the age of AI demands.
About Tokenive
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.
Verified activity
Signals from Tokenive
3 published signals
Presence & Recognition
Tokenive won 1st place at The University of Edinburgh's Startup Summer Accelerator Showcase.
Reported by Amirreza Sarencheh
Presence & Recognition
Tokenive ran the FRIL programme alongside the Startup Summer Accelerator Showcase at The University of Edinburgh.
Reported by Amirreza Sarencheh
Presence & Recognition
Tokenive won first place at The University of Edinburgh's Startup Summer Accelerator Showcase.
Reported by Amirreza Sarencheh