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Entrepreneurs led Deep Tech Pre-seed fund. We back ambitious founders aiming to build global startups: @gensynai @pathway_com

🇪🇺 + 🇺🇸
Joined February 2012
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The Long-Term View: Why Id4 Ventures Bets on Breakthroughs, Not Shiny Things. So proud to see our longtime bets taking shape. From the beginning, we chose Id4 Ventures to focus on fundamental technologies that will truly change our lives and economy, and not to chase the next shiny, transient trend. Building Deep Tech is hard. Our job is to lighten that pain for our founders—to provide the moral and financial conviction to be there when others doubt. This is only possible thanks to the long-term trust and support of our incredible LPs. Nothing would be possible without you. Our Thesis in Action: Six Years of Generational Shifts Six years ago, we began investing with the conviction that AI would be a generational shift, requiring an entire technological infrastructure rebuild and entirely reshaping industries. Today, we are seeing that deep thesis materialize with companies like: @gensynai : Building the computational backbone for a decentralized AI future. (Series A led by @a16z , > 50M transactions in 5 months on the testnet) @pathway_com : launching a new “post-transformer” architecture that paves the way for autonomous AI.. (arxiv.org/abs/2509.26507) But our conviction goes beyond AI infrastructure, touching human impact and new frontiers: Saving lives with @ThinkSono Automating scientific R&D with @lumi_systems Pioneering durable manufacturing with Tetmet (tetmet.net) The Next Chapter: The Space Economy For the past two years, we’ve begun writing a new chapter based on the same philosophy, backing foundational players in the emerging Space Economy: @OrbitalParadigm : Seamless logistics from Space to Earth Gama (gamaspace.com) The most effective way to deorbit. ...and more announcements to come. To all our founders: We can’t appreciate enough the sacrifices and sheer grit you take on every day. You are the real stars. We will always strive to be worthy of your trust and partner with you to improve our world. The real stars: @harrygrieve @benfielding @zuzanna_pathway @FouadAlNoor1 @silas_adekunle @TomVroemen
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“It would take someone with a lot of patience, budget, and conviction to push forward approaches that go beyond Transformers, approaches that don’t give you immediate gains on benchmarks. Those approaches are unfortunately cut out because of incentives in Machine Learning.” — Peter Norvig at the Open Source AI Summit in SF. And then @adrian_pathway took the stage to talk about the Post-Transformer Frontier :) For me, it was pretty incredible to see the three “big moments in AI” jamming together at a cosy meetup in the middle of a calm afternoon in the Presidio. Peter (shaped the field of AI) - Illia (co-invented Transformers) - Adrian (leads Post-Transformers). This event was an absolute gem. I genuinely had fun, took notes and photos of slides (!) The next generation of AI is inevitable. It is being built on efficiency, not brute force. The first generation of AI won by massively scaling the Transformer. At Pathway, we are here to change this. Thank you to @ilblackdragon, @ekang426, @build_planet, @near_ai, and @open_intel_fdn for bringing the community together!
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Replying to @adrian_pathway
@adrian_pathway, @pathway_com's co-founder and Chief Scientific Officer, will join @ilblackdragon and others on stage to discuss putting the Post-Transformer era into practice at the Open Source AI Summit. 🕓Oct 22, 4:10 PM 📍 The House by Edge & Node, SF
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Id4 ventures retweeted
A power problem in one London data center zone, and banks, mail and delivery services freeze across the UK. The scary part isn’t the outage, it’s how many services quietly depend on a single spot.
BREAKING: Multiple online services are down or 'experiencing issues.' Google Cloud has reported "issues" in its western Europe region affecting dozens of websites, including; Revolut, Royal Mail and HSBC. Latest updates ➡️ trib.al/M16q5UZ 📺 Sky 501
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In my new piece for @Forbes, I make the case that Transformers won’t be enough to get us to Superintelligence. They’ve taken AI extraordinarily far. The shift from models that retrieve to models that learn from experience will enable a wide range of applications that must reason reliably as information and constraints change, from cybersecurity incident response to real-time industrial operations. Our own bet is that the next leap in AI reasoning won’t come from making transformer-based models bigger. It will come from building AI that remembers, reasons and becomes more capable with use. These systems will bring structural efficiency to the picture. Transformers defined this era of AI. That doesn’t mean they get to define the next one.
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What can we learn from the brain when building Post-Transformer AI models? 🐉 @JChorowski joined the @OpenComputePrj Foundation community to unpack Dragon Hatchling (BDH) and the engineering behind it. Learn how BDH stores information, how “neurons that fire together, wire together” becomes a learning rule, and how we translate these into computations modern GPUs can run. For anyone wondering what Post-Transformers are about, this is a great place to start.
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We need more intelligence per watt! "The next generation of models is not about scale, it's about something different" Great presentation from @adrian_pathway from @pathway_com Full 20 mins presentation in comments, time to look at post transformers architecture!
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Our CSO @adrian_pathway took the stage at the AI Conference to explore the Post-Transformer landscape. With BDH, we’re uniting memory, reasoning, and adaptation. Call it intelligence-maxxing: more intelligence per watt, token, and dollar. Watch below 👇
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Replying to @PhilipJohnston
Pro rata rights should be earned not due. Founders will always fight for investors they value. Sometimes you have to give them up for the greater good of the company, frustrating surely but it generally comes with a strong markup
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OpenAI just announced a breakthrough in matrix multiplication - the critical building block of countless algorithms, including how all of the AI works. Like, if you were wondering what @nvidia's chips are doing - this is what they're doing. We could argue that slashing the theoretical efficiency exponent from 2.371339 to 2.25 for square matrices represents a tectonic shift in both computer science and the economics of artificial intelligence. Over lunch, my colleague at @pathway_com just extended the result to rectangular matrices, slashing the exponent to ω=2 for the other most used matrix shape (n × √n matrix by a √n × n matrix). Here is the paper (in replies). You're welcome. What beautiful times we live in, when you can get results like these while chewing on your burrito. Cheers to Przemysław Uznański (@PrzemekUzn25621)! 🍻 Human mathematicians can still be somewhat useful ;-) *The remarkable part is the equality: two is the smallest possible exponent, matching the lower bound imposed by the n^2-entry output. For this matrix shape, this result settles the exponent exactly, once and for all.
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Id4 ventures retweeted
Thank you for coming and the great conversation about disruptive innovation @MinisterEZK, @jelleprins, Beau-Anne Chilla and the teams of NADI - Nationaal Agentschap voor Disruptieve Innovatie and @Ministerie_EZK @TomVroemen
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The reason why we need to move to post tranformer architectures like @pathway_com The data center buildout to serve a 30-40% market share with transformer based LLMs is unsustainable!
98% of US households aren't paying for AI yet More charts in State of Markets II: a16z.news/p/state-of-markets…
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We're building Fairmint with a clear vision: bringing recordkeeping and liquidity on the same rail. Onchain. Great to have everyone together in New York this week 🗽
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New hardware shouldn't force engineering teams to overhaul their software. Standard CAD struggles with complex lattices, so @TETMET_INC provides smooth plug-ins powered by LDS, bringing advanced spatial design straight into your existing workflow. Watch CEO @TomVroemen explain:
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Prediction is breaking free. Build your own! @benfielding @harrygrieve 🫡
Introducing Predict Anything on @Delphi_fyi Enter your prediction. Review the forecast. Open a market. No wallet No login to make a prediction Just make a statement news.delphi.fyi/p/introducin…
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Predict Anything on @Delphi_fyi Make a prediction Receive a forecast Trade the probabilities No wallet or login required for predictions Find out more at news.delphi.fyi/p/introducin…
Introducing Predict Anything on @Delphi_fyi Enter your prediction. Review the forecast. Open a market. No wallet No login to make a prediction Just make a statement news.delphi.fyi/p/introducin…
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Metrology (or measurement) of complex 3D lattice geometries is one of the toughest quality control challenges in modern manufacturing, but our Applications Engineer, Paul Beguin, is solving it head-on. Stay tuned for the end. The results speak for themselves.
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Building physical infrastructure requires rapid execution, but long bureaucratic fundraising cycles hold European innovation back. Here, @TETMET_INC CEO @TomVroemen breaks down why Europe must shift from risk-mitigation to bold, vision-led investing to build at global scale
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What infrastructure will the next wave of AI models require? I’ll discuss it on the Main Stage of the Sifted Summit with Enrique Lizaso Olmos (@MultiverseCompu), and @GautierCloix (@hcompany_ai), moderated by Daphné Leprince-Ringuet. ⏰ Thursday, October 1, 14:45-15:20
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Congrats Brendan and other coauthors! This paper explores one-shot multimodal learning with force-constrained Learning from Demonstration (LfD), enabling robots to learn not only how to reproduce demonstrated motions, but also how to proactively avoid excessive forces during execution. Looking forward to seeing the work presented at #IROS26!
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