Inveniam and Docugami Bridge AI’s Data Trust Gap with On-Chain Document Verification
Private markets are getting a blockchain-powered upgrade to solve AI's data trust problem. Inveniam and Docugami have partnered to bring verifiable, element-level document data to real-world assets through a combination of proprietary technologies.
Docugami's Document Graph Markup Language (DGML)—developed by XML co-author Jean Paoli—converts complex financial documents like leases and loan agreements into machine-readable data. Inveniam's NVNM Chain then timestamps these elements as tamper-evident on-chain artifacts.
The collaboration follows Inveniam's strategic moves in blockchain infrastructure, including a $20 million investment in MANTRA and plans to acquire the regulated Layer 1 blockchain that powers NVNM Chain. The transaction is expected to close by month-end.
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