Official Twitter for Inveniam and Inveniam io. Delivering the trusted and actionable data to empower the digital trading of private market assets, globally.
Detroit, London and Abu Dhabi
Joined October 2018
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Announcement from Inveniam CEO & Chairman Patrick O'Meara
bit.ly/3OPlQ8e
Zero data retention is a policy. Custody is an architectural property.
Most enterprise document workflows force a trade-off between speed and control. You either upload your files to someone else's infrastructure, or build custom pipelines from scratch.
Inveniam IO solves this by serving as the private data plane for frontier models like Claude. You get dynamic reporting and pixel-precise verification, while source documents remain in your custody.
Read our new whitepaper, Verified: inveniam.io/resources/insigh…
Anyone can make a dashboard look impressive. Verifiable proof is what matters when AI agents act on real-world captures. The same constraint shows up in private markets: leases, loan files, and valuations only become agent-ready when origin, process, and state can be proven. That is the data layer Inveniam builds, with proofs generated federated and kept under the owner's control.
anyone can make a dashboard look impressive. verifiable proof is what really matters.
that’s what caught my attention about @vangrid_io.
every capture gets a device-level fingerprint, batches are linked through a merkle root, and the root is attested on base using eas. anyone with the original clip can verify its hash against the public record.
even the first bounty paid on arc has its own transaction history.
no need to trust screenshots or marketing claims. just open the explorer, find the attestation, and verify the evidence.
physical ai needs more than video collections. it needs data people can actually verify.
vangrid is bringing that proof onchain.
An audit agent is only as good as the documents it reads. The real bottleneck is data that is traced to source, independently verified, and kept inside the owner's control. That is the problem Inveniam IO is built to solve: Proof of Origin, Process, and State before an agent acts.
Josh Sandler’s pitch begins with a grievance more taxpayers understand: Your bill gets bigger when someone else doesn’t pay theirs.
His startup, Govra, is building AI agents for government agencies, beginning with tax audits. While the prospect of more tax audits might sound unpleasant, Sandler thinks it’s in our best interest: Better enforcement is how governments collect what is already owed without raising taxes on everyone else.
Read more: forbes.com/sites/annatong/20…
📸: Govra
Andy Jassy says companies will have to rewrite almost all of their code to be agentically capable. The same is true of the data underneath it. An agent that patches software in minutes still stalls on leases, loan agreements, and valuation reports it cannot read or verify. Rewriting the application layer without fixing the data layer only moves the bottleneck. Inveniam makes that private-market data verifiable and AI-ready without the enterprise giving up control. The real bottleneck is data.
AI models are finding far more vulnerabilities than humans ever did. Amazon CEO Andy Jassy says that means "companies will have to rewrite almost all of their code to be agentically capable."
"If you look at all of the nervousness of the last month or two about models, they are focused on the more fantastical scenarios... I don't think that there is enough discussion about the more immediate-term risks, which are really around cybersecurity."
"These models find so many more vulnerabilities than you did before, that humans weren't finding."
"Today, you find vulnerabilities, people classify the vulnerabilities, people develop patches. And then even if you do that part quick, most companies take a long time to deploy because there are all these dependencies. You're gonna have to deploy in minutes."
"If you don't actually have your applications rewritten to be able to be updated by agents, you're gonna have no chance in that new world."
@ajassy
If the era of free training data is ending, value moves to data that can prove where it came from and how it was processed. Provenance becomes the price signal: Proof of Origin, Proof of Process, Proof of State. Your proprietary data is your alpha, and it does not need to leave your environment to be verified.
Settlement is the part of agentic finance that is getting solved fastest. Stablecoins move value instantly and globally, even in small amounts. The harder question sits upstream: what data did the agent rely on before it paid? An agent that settles in seconds on unverified inputs just moves bad decisions faster. The real bottleneck is data.
Incredibly bullish on stablecoins.
~$5T of global commerce could be driven by agents by 2030.
Stablecoins are the best payment method for agentic finance (AiFi) because agents need instant, global, real time settlement, including for small amounts.
We've built the infrastructure to support this at: coinbase.com/developer-platf…
Private markets are moving toward AI, but AI is only as good as the data it can trust.
Inveniam is building that foundation: AI-ready private market data, anchored onchain with @NVNM_Chain so it can be verified wherever it goes.
ALT
A stablecoin is only as strong as its reserves." — @RKWalker67, CEO of @InveniamIO.
Treasuries are easy to verify—private credit, loans, and illiquid capital buffers aren't. Periodic attestations don't cut it for institutional collateral. Inveniam Proof of Illiquid Reserves anchors data at the source for continuous, independent valuation so markets can verify full balance sheet coverage without exposing the underlying book.
Upgrade from proving the easy part to proving the whole reserve. Learn more and explore the 90-day pilot at Inveniam.io.
Private markets represent an estimated $20 trillion in assets, much of it still beyond the reach of modern digital infrastructure.
On the NVNM Chain Manifesto X Space, @BillPapp_47 outlined the opportunity in bringing these assets onchain, with verifiable data at the core.
An insightful philosophical discussion on why verifiable AI and private markets matter.
Featuring leadership from Inveniam and @NVNM_Chain:
Catch up on the NVNM Chain Manifesto X Spaces featuring:
Pat O'Meara (@omearaop), Chairman of Inveniam
JP Mullin (@jp_mullin888), President of NVNM Digital
Bill Papp (@BillPapp_47), CEO of NVNM Chain
Prof K (@Profoneur), Head of R&D at NVNM Digital
Unlocking private markets requires more than tokenization—it demands verifiable coordination across AI agents and independent counterparties without centralizing data custody.
Through a distributed multi-party architecture and open standards like @docugami's DGML, which turns unstructured documents into machine-readable, verifiable data elements, @NVNM_Chain cryptographically anchors asset performance for:
Proof of Origin: Source document provenance.
Proof of Process: Auditable tracking of data transformations, valuation models, and cash-flow logic over time
Proof of State: Continuous, verifiable asset performance.
Anchor the data. Verify the state. Power the agentic economy.
Market prices express assumptions. Proof represents reality.
Over $20T in private market assets is ready to move on-chain, but legacy infrastructure lacks verifiable data.
@BillPapp_47 shares why a neutral verification layer is the missing link for private markets:
The @NVNM_Chain Testnet is live. Read the manifesto: nvnmchain.io
Why does NVNM Chain need to exist?
That's the question the NVNM Chain Manifesto sets out to answer, as Inveniam Chairman @omearaop explained in @NVNM_Chain's first X Space with NVNM Chain CEO @BillPapp_47, NVNM Digital President @jp_mullin888 and NVNM Digital Head of R&D @Profoneur.
Listen to the full Space recording here:
xitter.cf/NVNM_Chain/status/2110…
The Inveniam ecosystem is powering the future of private markets: AI-ready and onchain.
Two of the key tools that make it work include:
@docugami turning complex business documents into structured, machine-readable data.
@NVNM_Chain anchoring that data onchain, so every stakeholder and every AI agent can verify where it came from.
