Vannadium, a company building AI trust infrastructure, has launched Leap, the first platform to combine blockchain-level data integrity with real-time on-chain performance.
“The biggest risks in AI come from invisible data failures, not from rogue models.”
As AI is introduced in areas such as healthcare, finance, and supply chain, the reliability of the underlying data has become a critical concern. Leap addresses this problem by helping organizations prove what is true.
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With Leap, high-value data such as videos, documents, and logs can be securely stored and streamed on-chain with full provenance and access control. Turn blockchain into an explainable and auditable foundation for AI.
“The biggest risks in AI are not caused by rogue models, but by invisible data failures,” said Richard Gilchrist, CEO of Vannadium. “Leap means being able to prove where your data came from, how it was used, and whether it can be trusted.”
“Leap delivers real-time, on-chain data at enterprise scale,” said Laura Fredericks, Chief Growth Officer. “Actual videos, documents, and sensitive data are all verified and allowed on-chain, not hashes or references.”
Leap runs on Vannadium's proprietary Diffusion Protocol, a high-speed coordination layer that moves on-chain data at business speed. Organizations can start with a single stream or policy and expand from there.
Initial deployments will target a wide range of applications across healthcare, AI infrastructure, and the public sector, with a focus on sectors where trust is essential, such as supply chain, accounting, and law enforcement.
Main use cases:
- Explainable AI: Verifiable sources behind every model decision
- Secure streaming: tamper-proof live video
- Data sovereignty: Users control access to their data
- Real-time policy enforcement: Compliance built into the data flow
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