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
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
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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.
AI labs got years of free data from the internet I think that changes next year
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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…
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Institutions don't have an AI problem. They have a data provenance problem.
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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.
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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.
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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.
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The next generation of private markets will be onchain, AI-ready and verifiable by design.
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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
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AiFi isn't a narrative. It's what happens when machines get data they can trust.
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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
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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.
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Institutions and private markets are moving closer to AI and blockchain every day. But the pace of adoption will never be slower than it is today.
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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.
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On Thursday, October 15 at 12:30 UTC, @NVNM_Chain will host the first in a regular series of X Spaces. The opening session will focus on the NVNM Chain Manifesto and the principles guiding NVNM Chain. Speakers: Patrick O'Meara (@omearaop), Chairman, Inveniam JP Mullin (@jp_mullin888), President, NVNM Digital Bill Papp (@BillPapp_47), CEO, NVNM Chain Prof K (@Profoneur), Head of R&D, NVNM Digital xitter.cf/i/spaces/1RKZzBN…
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TradFi, DeFi and AI are converging. What comes next is AIFi.
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NVNM Chain CEO Bill Papp on why verifiable data is essential for institutions adopting AI driven financial workflows.
An agent’s action is only as accountable as the information behind it. Bill Papp of @InveniamIO and @Ludovico__Rossi of @Brickken close the webinar on why institutions need data they can verify before relying on automated financial workflows. Watch the full session for more. 👇🏻
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On decentralizing AI data: Centralizing data degrades the asset. Records get homogenized, metadata gets truncated, and the context that makes data retrievable and interpretable is the first thing to go. That context is exactly what AI needs to get things right. The trade-off made sense when interpretation was the scarce resource. It isn't anymore. Analysis is now a commodity. The scarce input is verified, organically produced data from a real source, reflecting real activity: a gold deposit in a sea of synthetic slop. For the first time, that puts data owners and generators in the driver's seat. Inveniam has spent years building for this moment: a decentralized architecture that keeps data sovereignty intact, with @NVNM_Chain providing the immutable proof layer. The record never depends on any single party's willingness to keep the lights on.
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