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Edge & Node
@edgeandnode
⚡ Pioneering data infra for the next internet. Founding team @graphprotocol, @ampersend_ai and 🏡 @thehousesf. Powering web3, AI, and enterprise.
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If you’re in NYC today, come find us at the Data Management Summit. Edge & Node CEO @rodventures takes the stage for a keynote at 3:05 PM, followed by our very own Craig Tutterow joining a panel at 3:25 PM. We also have a booth in The Gallery, we’d love to meet you. Secure your delegate pass here: #DMSNYC# #DataManagementSummitNYC# #DataManagement# #DataStrategy# #CapitalMarketsTech# #InstitutionalTrading#
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The Data Management Summit NYC is tomorrow 🗽 3:05 @rodventures keynotes on more data at lower cost, and the case for AI-enabled specialization. 3:25 Craig Tutterow joins the panel on building a defensible audit trail for agentic workflows. @ Ease, 605 Third Ave, 7th floor. Come find us 🤝 #DMSNYC#
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The Senate votes at 2:15 today on whether to start debating the CLARITY Act. It needs 60 votes and Republicans only hold 53 seats. Pass or fail, a regulator can still ask a bank to prove a number matches what is on the blockchain. Most banks have to call their data vendor to answer that...unless they use Amp.
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⚡️ Amp offers a verifiable blockchain data feature. Every dataset carries cryptographic provenance back to the block. So you don't have to prove to your auditor that your results match the chain. They can verify that themselves.
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The Edge & Node team will be at the Data Management Summit NYC this Thursday. 3:05 : @rodventures keynotes on more data at lower cost, and the case for AI-enabled specialization. 3:25 : Craig Tutterow joins the panel on building a defensible audit trail for agentic workflows. @Ease, 605 Third Ave. #DMSNYC# We hope to see you there!
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U.S. Bank just ran its own stablecoin on a public chain. This leaves a record anyone can read. Next step: get those records into the bank's data stack in a shape an auditor accepts. Amp does that part.
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Most teams pull blockchain data from RPC providers, which can have bugs and bad configs. Amp, our blockchain data engine, builds verification into extraction. Amp recomputes the hash locally and verifies it against what's onchain. *Verification confirms the data matches the chain. Your analysts get plain SQL tables across multiple chains, in the BI tools they already use. Cloud, on prem, or hybrid.
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Firms standardized on general purpose data platforms for good reason. Building your own was slow, expensive, and needed a team most groups didn't have. The cost of building has come down. It came down at the same moment AI started multiplying the volume of data everyone has to handle. In this talk I'll get into where the efficiencies actually sit, how to shape a system around your largest workload, and how to keep governance and auditability intact while you do it. 3:05 PM, September 17, at 605 Third Avenue in New York. Craig Tutterow is on the 3:25 panel right after me on audit trails for agentic workflows. Come to both, and find me after. I'm there through the networking reception.
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Craig Tutterow, our Director of Data, takes the stage at 3:25 PM on September 17th at the Data Management Summit New York. The panel: Proving Your AI: Building a Defensible Audit Trail for Agentic Workflows in a Regulated Environment. Regulators are asking firms to show their work on AI decisions. Most governance frameworks were built for a different era. Craig and the panel get into what a defensible audit trail looks like now. 40 minutes, moderated by Pete Harris of the A-Team Group.
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Our CEO @rodventures is keynoting the Data Management Summit New York on Sept 17. More Data, Lower Costs: The Case for AI-Enabled Specialization. AI is making more data. AI is also making the systems that handle it cheaper to build. He'll show how those two things meet at scale. 3:05 PM. NYC. Hope to see you there
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For 100,000 Ethereum blocks. One block's data comes back from an RPC provider that doesn't match what's actually onchain. No error. Just bad data. This happens everyday. Amp verifies extracted data against the cryptographic commitments in block headers, catching discrepancies before they reach your system.
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132 days until the GENIUS Act takes effect. Regulators missed their own July deadline for final rules. So issuers are trying to build compliance systems without a rulebook. One thing holds no matter how the rules land. You have to prove where your onchain data came from.
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.@beincrypto published a feature by Mohammad Shahid on the question regulators, courts, and compliance teams are all circling: who is responsible when an AI agent loses your money? Edge & Node CEO @rodventures opens the piece and is quoted throughout, alongside voices from @Nethermind and @MetaMask. The case study is May's Grok/Bankrbot exploit, where a Morse-code prompt injection moved an estimated $150K-$200K from a linked wallet. Rodrigo's argument in three parts: responsibility lands on the company that deployed the agent, never on the model. Most companies can show the transaction but cannot produce the permission behind it. And the agent should never hold the keys, it proposes a payment while a separate system decides whether that payment is permitted. Full piece:
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It was an honor to host TekTrek Cohort One at @thehousesf this summer. An incredible group of student founders building across AI, healthcare, robotics, infrastructure, and more. Proud to have hosted them at The House and excited to see what they build next. 👏
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TekTrek’s first round trip is complete. Most programs pull East Coast talent west and keep it there. TekTrek features the best of both worlds: in June, 44 students primarily from @MIT, @Harvard, and @Princeton went to San Francisco to build. Ten weeks later, they brought their companies home to Boston. They worked from the Presidio, learned from 120+ mentors, met founders and technology leaders, and built alongside a community that believes the next generation should be the ones sculpting the future. Homecoming was just as eventful: a Science Dinner at the CPO Ed Baker (@ed_baker_whoop) of @WHOOP's home in Cambridge, featuring presentations from Boston's Mayor Michelle Wu, @CFS_energy's cofounder/CSO Brandon Sorbom (@BrandonSorbom), and @duolingo's CPO Cem Kansu (@cemdnsu). At the MIT Showcase, 17 teams took the stage, including Brian Elliott, CEO and cofounder of @blitzyai, who opened with his original founding pitch. Among the 300+ attendees there were more than 90 investors. Then a reception at The ‘Quin House with Sandy Edgerley and Aaron Edell (@aaronedell)of @awscloud, one of TekTrek’s supporters, who announced he is committed to tripling his token support for the program. The closing day on Martha’s Vineyard brought together HBS Professor Rosabeth Moss Kanter (@RosabethKanter), Mitch Kapor, NASA astronaut Leland Melvin (@Astro_Flow), Olympic gold medalist Tenley Albright, and @siegelendowment’s Executive Director & President Katy Knight (@sayskaty). At the heart of TekTrek is a simple idea: AI is fundamentally changing what small teams can accomplish. Bring exceptional builders together, surround them with the right people, and give them the environment, community, and resources to move faster. AI has radically changed what a small team can build. As John Werner, Chief Architect and Cofounder of TekTrek often says: “three is the new thousand.” Congratulations to the teams of Cohort One. The first of many! #TekTrek# #ArtificialIntelligence# #Startups# #Entrepreneurship# #MIT# #Harvard# #Princeton#
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Open Source AI Summit SF lands at @thehousesf this Friday, August 28, and the event is already at full capacity. The speaker list runs from a co-authors of Attention Is All You Need to researchers at NVIDIA and Stanford, the former global CTO of AI at the Linux Foundation, and founders from Fireworks AI and NEAR. Waitlist and agenda:
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Open Source AI Summit SF is happening this Friday at @thehousesf and we have reached full capacity! Welcoming a couple of speakers to the strong lineup💘 @achowdhery at Stanford University to talk about self improving AI @JeanKossaifi at NVIDIA Research to talk about AI aided engineering and how it uses open source AI @matthew_d_white: Former global CTO of AI of Linux Foundation and CTO of PyTorch @dzhulgakov: Co-Founder of @FireworksAI_HQ @lukaszkaiser: Co-author of Attention is All You Need, ex OpenAI @ilblackdragon: Co-Founder at @NEARProtocol, Co-author is Attention is All You Need, ex Google Research Agenda confirmed in a couple of days!
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The FASB proposed guidance last week that would let companies classify stablecoins as cash equivalents on their balance sheets, with comments due November 19. Cash-equivalent treatment is the accounting status corporate treasurers have been waiting on, because it means holding USDC stops creating a separate line-item headache in financial statements and starts reading the way money market funds do. Auditors sign off on cash equivalents only when they can verify the asset exists and settles as claimed, so every finance team that takes the option inherits a new requirement: proving onchain balances and flows to audit standards. Most audit firms today check blockchain balances by hand, screenshots and block explorer exports, and that process breaks the first time a client holds stablecoins across five chains. Amp gives treasury and audit teams a SQL database over blockchain data where every query result carries a cryptographic proof it matches the chain, so the balance and its evidence arrive together.
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Edge & Node is now a member of the @CantonFdn and an active validator on the @CantonNetwork, the privacy-enabled chain where Euroclear, Broadridge, Tradeweb, and SBI Digital Asset Holdings settle real-world assets. Our validator node joins 678 others securing a network that processes $1.9M in daily fees. Beyond running infrastructure, we are participating in Canton special interest groups, contributing to Canton Improvement Proposals, and developing proposals for the Foundation's new Protocol Development Fund. Edge & Node builds verifiable data infrastructure for regulated institutions, and Canton is where many of those institutions transact onchain. Foundation membership gives us a direct role in the governance and protocol decisions shaping how tokenized capital markets operate.
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Edge & Node CEO @rodventures joined Kristina Podnar on The Power of Digital Policy podcast to talk through the moment AI stops advising and starts spending. An agent with access to a payment rail holds permission. Authorization is a separate grant of authority, and on stablecoin rails the money is gone the second it moves, so the two get confused exactly once. Rodrigo makes the case for policy checks at the wallet level, outside the LLM, where a hallucination or prompt injection cannot reach them. Also in the episode: who carries accountability when an agent pays wrong, and the four areas regulators should address first: identity, authorization, observability, and governance. Full episode:
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📺 Watch the full presentation on agentic payments and guardrails by @rodventures & @impranavm_ from this year's @aiDotEngineer World's Fair in San Francisco.