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Docugami - Inveniam Open DGML. Docugami and Inveniam Open DGML at dgml.io to Unlock the Potential of Verifiable Document Data This Apache 2.0-licensed open DGML technology, coupled with Inveniam's NVNM Chain, addresses the trust gap in real-world asset valuation; Docugami and Inveniam invite the community to help work toward an industry standard. KIRKLAND, WA and DETROIT, MI - July 22, 2026: Docugami and Inveniam today announced that the Document Graph Markup Language (DGML) is fully open and documented, opening the way to a more accurate, powerful, and trustworthy document standard to unlock the massive financial potential of verifiable document data. The complete current specification, developer documentation, sample documents, and a Python open source reference implementation are available at www.dgml.io and github.com/dgml-io under the Apache 2.0 license. "A huge percentage of the world's business information is contained in documents that were written for humans, not for computers, which is a big problem as AI agents become more vital in enterprise systems," said Jean Paoli, CEO of Docugami and co-creator of the XML document standard and former president of Microsoft's open source subsidiary. "Opening DGML will enable the creation of a transformative document standard where every chunk of document information can be named, traced to the exact page, and provable, so any document data can be trusted by an investor, an auditor, or an AI agent. We invite the community to help shape the evolution of the format. The implementations that emerge from real use cases are what strengthen and solidify a standard." "DGML plus NVNM Chain makes trust a property of the data itself, not a promise from a platform," said Patrick O'Meara, CEO of Inveniam, the digital data infrastructure leader for private markets. "Together, we are creating the missing infrastructure for pricing, trading, and financing private-market assets, which has the potential to unleash trillions of dollars in economic activity." The release fulfills the commitment made in June by Docugami to open the technical foundation of its platform in partnership with Inveniam. The two companies co-founded the DGML open initiative and are proving the standard out where the stakes are highest: the trust issues surrounding real-world asset valuation. The valuation trust problem Trillions of dollars in private-market assets - commercial real estate, private credit, infrastructure, funds - are valued on the basis of leases, loan agreements, operating statements, and appraisals. Despite the critical importance of the data extracted from these documents, there is no way for an investor, auditor, or counterparty to verify the source of any information or whether it has changed since the source document was executed. As the industry and AI agents take on this work - screening deals, monitoring covenants, updating valuations - the problem compounds: an unverifiable input becomes an unverifiable valuation. How an open DGML closes the gap DGML, a domain-native document format, represents any document as a graph of precisely labeled, queryable data elements, extracted without templates or extensive training. DGML tags describe what each element is in the document's own domain: a liability cap, a base rent, a NAV component, and how each element relates to each other in the document. Inveniam then anchors those individual elements on the NVNM Chain, its purpose-built receipts layer for agentic AI, creating tamper-evident attestations such as Proof of Origin, Proof of State, and Proof of Process. Together, DGML and NVNM Chain fundamentally transform the trust dynamic in financial workflows: * Element-level verification. An asset manager, auditor, or investor can confirm the provenance of a single figure - the rent escalation behind a cash-flow model, the covenant behind a credit decision - without exposing the entire document. * Traceability to the source page. Every element carries pixel-precise coordinates, so a valuation input resolves to a highlighted region on the executed lease. * Consistency across a portfolio. Documents of the same kind share one semantic vocabulary: a query that identifies one lease's expiration date can identify the expiration date across a thousand leases - the foundation for continuous, audit-ready NAV verification. * Trustworthy inputs for AI agents. Agents consume consistently labeled data elements instead of re-parsing prose, and any value they use can be independently checked against its on-chain attestation. * An open standard, not a proprietary dependency. Asset managers, valuation firms, fund administrators, auditors, lenders, and their technology providers can all build against one openly documented format, providing interoperable tooling and no vendor lock-in. * Introduction and examples: www.dgml.io * Specification and samples: github.com/dgml-io/dgml-spec * Python open source reference implementation: github.com/dgml-io/dgml Proving it out with Inveniam Docugami and Inveniam are applying the standard to live private-market workflows, beginning with valuation and NAV verification for hard-to-value assets: Docugami converts source documents into DGML natively, and Inveniam anchors the extracted elements on NVNM Chain, giving every stakeholder, from asset owner to auditor to AI agent, a cryptographic chain of custody from the number back to the page it came from. Built for developers, governed in the open Anyone can read the versioned specification, study annotated samples, and build with or contribute to the reference implementation. DGML's four independent layers - Semantic, Spatial, Attestation, and Readable - let implementers adopt only what they need; the same self-contained file can serve an LLM call, a browser view, and a compliance audit trail. Docugami and Inveniam invite partners, customers, developers, and others to participate in open collaboration to help strengthen the future standard and its open source reference implementation. Get started today Docugami's platform, which produces DGML natively from complex business documents, is available at www.docugami.com. About Docugami Docugami is the pioneer of business document intelligence. Founded by Jean Paoli, co-creator of the XML standard and former president of Microsoft's open source subsidiary, Docugami transforms complex business documents into precisely labeled, actionable data - without templates or training data - so organizations and AI systems can act on document data with confidence. Docugami is headquartered in Kirkland, Washington. Learn more at www.docugami.com. About Inveniam Inveniam is the digital data infrastructure solution for private markets, empowering asset owners, managers, and service providers to credential, understand, extract, and deploy their data for any application. Inveniam's NVNM Chain serves as the receipts layer for agentic AI - hashing and anchoring verifiable data, including attestations such as Proof of Origin, Proof of State, and Proof of Process. Learn more at www.inveniam.io. Media Contacts Mark Murray, [email protected] +1 (425) 922-4306 Inveniam: [email protected]

Docugami, led by XML co-creator Jean Paoli, is open-sourcing its Document Graph Markup Language (DGML) in July, partnering with Inveniam to anchor extracted data on NVNM Chain for verification by AI agents. The technology converts complex documents into precisely labelled, queryable data points without requiring training data or templates. DGML addresses a critical challenge in the agentic AI era: allowing AI agents and humans to verify the provenance of individual data artifacts extracted from documents, rather than just whole documents. By anchoring DGML-extracted data on Inveniam's Layer 2 blockchain, the system creates verifiable, audit-ready document data. The open-source release aims to establish DGML as a shared foundation for asset managers, auditors, investors and technology partners to build upon.