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Inveniam and Docugami announce a partnership that will anchor DGML‑extracted data on the NVNM Layer‑2, boosting verification of private‑asset information for
Inveniam and Docugami have formalised a partnership that will anchor data elements extracted via Docugami’s Document Graph Markup Language (DGML) on Inveniam’s NVNM Chain, a purpose‑built Layer 2 designed for verifiable private‑asset information【2】. The move aims to give AI agents and auditors a granular, on‑chain proof of provenance for each data point, addressing a long‑standing trust gap in enterprise document processing.
| At a glance | |
|---|---|
| Partnership | Inveniam + Docugami |
| Chain | NVNM Chain (Layer 2) |
| DGML open date | July 2026 |
| Goal | On‑chain verification of document‑derived data for AI agents |
Docugami’s DGML converts complex business documents—contracts, leases, financial statements—into precisely labelled, query‑able data points without needing training data or templates【2】. By opening DGML to developers in July, Docugami creates a shared foundation for asset managers, auditors and other stakeholders to build on. Inveniam will anchor each extracted data element on NVNM Chain, creating immutable proofs such as “Proof of Origin” and “Proof of State” that AI agents can reference directly on the blockchain【2】. This architecture provides a single, neutral record of the exact data that drives any downstream decision or transaction.
Private‑market assets rely on confidential documents that cannot be fully disclosed on public blockchains. Inveniam’s NVNM Chain, launched in May 2026, hashes and stores attestations while preserving privacy, a requirement for institutional participants who must protect client and portfolio information【2】. By linking DGML‑derived data to this chain, the partnership promises audit‑ready, permissioned data that can be consumed by AI‑driven valuation, risk monitoring and systematic trading tools. The combined solution therefore targets a gap where AI agents have struggled to trust the provenance of extracted data, a problem highlighted as “the world’s most important business decisions are made on the basis of documents that machines have never been able to read properly”【2】.
Inveniam’s broader strategy includes deepening its role in real‑world asset tokenisation, as evidenced by its planned acquisition of the Mantra blockchain and the launch of NVNM Chain earlier this year【3】. The partnership with Docugami reinforces that infrastructure focus, positioning Inveniam to control both the data layer and the underlying blockchain that supports tokenised private assets. While the collaboration does not immediately affect token prices, it could shape the competitive landscape for RWA infrastructure by offering a more integrated, verifiable data pipeline.
The partnership signals a shift toward tighter coupling of document intelligence and blockchain verification, a step that could reduce friction for AI‑driven private‑market processes. Whether the combined platform gains traction among institutional players will hinge on its ability to deliver privacy‑preserving, audit‑ready data at scale.
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AI-assisted synthesis by the TrendWatcher Editorial Desk · sourced from 3 outlets · Jul 1, 2026 · How we report
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