Inveniam, a knowledge infrastructure firm with over $200 billion of personal market belongings locked on-chain, is transferring to fill a niche within the trade with its newest partnership with Docugami.
Each events labored collectively to convey verifiable element-level doc information into real-world belongings.
As with most sectors, synthetic intelligence is transferring into the civilian market. Nonetheless, the information problem has modified on the identical time, as the information supporting the belongings being analyzed could also be locked away in unstructured paperwork that may by no means be precisely learn by a machine.
The settlement will function on each Docugami’s Doc Graph Markup Language (DGML) and Inveniam’s NVNM chain.
The partnership settlement follows earlier reviews that Invenium introduced it was planning an acquisition. $mantraa regulated layer 1 blockchain on which the NVNM chain is constructed as layer 2, with transactions anticipated to be accomplished by the tip of this month.
The transaction adopted a $20 million strategic funding by Invenium. $mantra In August 2025, the 2 corporations collectively constructed the NVNM chain earlier than Inveniam moved to convey your complete stack below one roof.
What’s Dogugami’s distinctive expertise?
DGML was created by Docugami CEO Jean Paoli, co-author of the XML 1.0 customary and former president of Microsoft Open Applied sciences.
Convert leases, mortgage agreements, working statements, and valuation reviews into precisely labeled information components.
Inveniam’s NVNM chain information these components on-chain as tamper-proof, time-stamped artifacts, making a cryptographic audit path that may be independently verified by licensed counterparties.
DGML is totally different from different doc information applied sciences
In the present day, expertise already exists to determine the provenance of a complete doc, proving, for instance, {that a} specific lease report existed at a selected time limit.
DGML takes that innovation to the following degree by permitting you to validate particular person information factors extracted from inside a doc. For instance, a rental determine from a selected lease clause, a loan-to-value ratio from an underwriting memo, or a web working earnings line from an working assertion.
“The world’s most essential enterprise choices are being made based mostly on paperwork that machines haven’t been capable of correctly learn,” Paoli mentioned of the Invenium deal.
He mentioned, “We have now spent years constructing expertise that transforms complicated paperwork into information with unparalleled accuracy. By opening DGML, we’re inviting all individuals within the non-public capital ecosystem to collaborate with us and construct a shared basis.”
Docugami’s expertise makes use of open supply large-scale language fashions, small-scale agent inference fashions, and data graph technology to remodel complicated enterprise paperwork into structured, actionable information with out the necessity for coaching information or templates.
Why ought to tokenized belongings and AI brokers anchor doc information on-chain?
The worth of tokenized RWA has reportedly elevated to greater than $32.4 billion, up from about $14.1 billion in January. Nonetheless, information high quality points stay a difficulty because the tokenization or proof of personal belongings is just as reliable because the underlying information.
Verifying the supply of that information required both trusting the writer or conducting unbiased due diligence from scratch.
The NVNM chain, which Inveniam launched on Could seventh as Layer 2 solely for the civilian market, was designed to function an authentication layer for agent AI.
The NVNM chain points proof of origin, proof of state, and proof of course of certificates that report the existence of datasets and monitor what information drove a call or transaction.
Mixed with DGML, AI brokers can learn doc information, making it verifiable and audit-ready.
“DGML is a elementary development in the way in which the paperwork that transfer non-public capital are learn and structured,” mentioned Patrick O’Meara, Chairman and CEO of Invenium.
He mentioned, “Pinning information components extracted in DGML on-chain is a pure complement. This ensures that after a knowledge ingredient surfaces, it may be trusted by all events who want to make use of it.”
The businesses haven’t introduced a date when the answer shall be accessible to the general public.
