Inveniam and Docugami have announced a strategic partnership to enhance the verification and transparency of private-market data by combining document intelligence with blockchain-based attestation. The collaboration aims to address a critical trust gap in private markets as artificial intelligence becomes more central to investment analysis and decision-making.
Under the agreement, Docugami will open its Document Graph Markup Language (DGML) technology, which converts complex business documents into structured, precisely labeled data elements. Inveniam will then anchor these extracted data points on its NVNM Chain, a purpose-built Layer 2 blockchain network designed for data attestation. This process creates tamper-evident, time-stamped records that allow individual data elements—not just entire documents—to be independently verified on-chain.
Private-market assets are typically supported by large volumes of unstructured documents, such as leases, loan agreements, operating statements, and valuation reports. While these documents contain critical information for investors, auditors, and asset managers, verifying specific data points within them has traditionally been difficult. The partnership aims to solve this by enabling market participants to trace information back to its original source, providing a more reliable foundation for tokenized assets, AI-driven financial analysis, audits, and investment decisions.
NVNM Chain, launched on May 7, functions as an attestation layer for agentic AI systems. It records and anchors verifiable data, including Proof of Origin, Proof of State, and Proof of Process attestations. By anchoring DGML-generated data on NVNM Chain, the companies aim to create a verifiable record that AI agents, investors, institutions, and auditors can reference when evaluating private-market assets and transactions.
Patrick O'Meara, Chairman and CEO of Inveniam, stated: “DGML is a foundational advance in how we read and structure the documents that drive private capital. Anchoring DGML-extracted data elements on-chain is the natural complement: it ensures the data elements, once surfaced, can be trusted by every stakeholder who needs to use it. We're proving out the combined approach in one of the markets where the trust gap is most acute.”
The partnership represents a broader step toward establishing a transparent data layer for private markets as AI adoption continues to expand across the financial sector. Jean Paoli, CEO of Docugami and co-creator of XML, added: “The world's most important business decisions are made on the basis of documents that machines have never been able to read properly. We have spent years building the technology to turn complex documents into data with unsurpassed precision. By opening DGML, we are inviting every participant in the private capital ecosystem to collaborate with us and build on a shared foundation.”
This initiative builds on recent developments in blockchain-based data verification and tokenization. For context, Pharos recently launched an onchain private credit vault targeting 14.3% yield for broader investor access, highlighting the growing intersection of blockchain and private markets. Similarly, KuCoin Web3 Wallet integrated Robinhood Chain for tokenized asset access, further expanding the ecosystem for on-chain asset verification.
The companies plan to demonstrate the complete process from source document extraction to on-chain verification, highlighting potential applications across auditing, valuation, fundraising, reporting, and other private-market workflows. This approach could significantly improve trust in AI-driven private-market analysis by ensuring that data used by algorithms is verifiable and auditable.
This article is for informational purposes only and does not constitute financial advice.
