Patrick Eggen

🚨NEW EPISODE: Recorded live at FUTURE TITANS 2026 - Jeff Perry of Carta sat down with the iconic Seth Levine, co-founder of Foundry. Seth has been in venture for 25 years, built Foundry from scratch as an emerging manager himself, and has backed about 50 emerging manager funds through his fund of funds. He has genuinely seen every side of this table. They went deep on building Foundry, why VCs are in the influence business, not the decision business, and why the concentration problem in venture is not only bad for LPs, but also for the innovation ecosystem overall. And why Seth's new book, Capital Evolution, is so important for the future of America. 🎧 Links to listen... Apple: https://lnkd.in/ehQUQ2EM Spotify: https://lnkd.in/eU4FExpg

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We are thrilled to celebrate Powerline’s $7M Seed round and our partnership with this exceptional team. Led by Matineh Eybpoosh and Julian Lamy, Powerline is solving the most critical bottleneck of the energy transition: the "Intelligence Gap." As global energy demand surges, the grid requires capacity that is both faster to deploy and hyper-efficient to operate. Powerline is proving that the answer lies in software-driven intelligence. Their AI platform — the Battery Co-Pilot™ — radically improves the unit economics of energy storage, converting batteries from passive backup into high-yield financial assets. They are already delivering measurable results across the energy lifecycle: Existing Installations: Retrofitting "brownfield" battery portfolios with an intelligence layer that captures missed revenue and manages market volatility. New Deployments: Providing the digital testbeds needed to scale global fleets with institutional precision, significantly shortening the path to ROI. Legacy Displacement: Delivering a cost-effective alternative to polluting "peaker-plants," which can cost up to $200/MWh more than an optimized Powerline fleet. While solar-plus-storage is now consistently 20-30% cheaper than new-build gas, the real victory is in how that hardware is managed. At J-Impact Fund, we focus on the massive value creation that occurs when technology turns energy scarcity into abundance. By shifting the grid from a model of expensive, finite fuel to one of persistent, harvested power, we unlock superior financial upside. For us, deep decarbonization is the inevitable byproduct of this superior economic model. Congratulations to Matineh, Julian, and the entire team—we are proud to be on this journey with you. #EnergyStorage #AIOptimization #VentureCapital #AssetManagement #SeriesSeed #FinancialAlpha

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Excited to finally share what we’ve been building over the past year. Today we’re announcing the first investment from ARKITEKT EQUITY. Over the past year, we have been closely observing the structural shifts occurring within semiconductor ecosystems. As manufacturing systems become more complex, the infrastructure enabling those systems becomes increasingly strategic. These environments demand operational clarity, coordination, and long-term alignment. ARKITEKT was built around a simple idea: durable value is created where frontier technology meets pragmatic execution. Our investment in BBTech reflects this conviction. This is just the beginning of what we aim to build at ARKITEKT EQUITY. Stay tuned! https://lnkd.in/g_pQiBZY

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"Build the event you wish existed" That's what we at Monadical did last week at #NYTW. We wanted an AI Engineers discussion for Engineers. There's always a lot of events out there for VCs to network, or for startups to learn about G2M, but very little on lessons learned from actual engineers in the field. So that's the event we hosted. Big thank yous to our awesome panel, Roy Pereira, Ben Cohen and Corey J. Gallon. Here's the key takeaways and the AI tools we're using. 🚀 All three panelists independently called AI Agents the most transformative LLM application they’ve used. They specifically called out Claude 3.5 Sonnet for its accuracy and reliability. 🪨 We dug into how LLMs are “jagged”, not general. They can be shockingly good at some tasks and completely fail at others. Everyone agreed: good evaluations are critical (and hard.) 🧪 Corey noted how public benchmarks and reality are two different things. Most public evals are saturated or gamed. ♊ Ben emphasized that AI projects are actually two projects: building the tool and building the evaluation process. 🧱 We explored how falling dev costs may impact startup defensibility and labor demand. Roy shared that founders are already shifting strategies in response. ⚒️ In a world of daily AI launches, the panel discussed how they decide what’s worth attention, and what’s just noise. They called out tools like Goose, Aider, Claude Code, and Monadical’s own Cubbi, which helps run agentic workflows safely in dev environments. (links in the comments). CTA: What would you want to hear in an AI Applied Engineering talk you attended?

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Honored and excited to partner with Drew Baglino and the incredible team at Heron Power as they re-imagine the electric grid for the modern world. Power in America is not zero sum. We deserve access to cheap and abundant electricity and we should win the AI race. And we must build the capacity to manufacture critical technology here at home. When faced with existential challenges, we deploy technology against them. And we win.

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I’ve known David Meister for years and backed him at Sydecar, so I’ve seen his ability to build through complexity. Axiom Trust is taking on one of the most outdated parts of wealth infrastructure, trust administration, by pairing a regulated trust company with AI-native workflows. We're proud to invest again and congrats to the team on the launch!

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Thrilled to announce that Together Fund is investing in Sentra, alongside a16z speedrun! You track results in Jira. Decisions in Notion. Conversations in Slack. But the reasoning, the debates, trade-offs, and context behind why you chose A over B, disappears into what we call "Dark Matter." A decision made in March looks insane by July because no one remembers the constraints that made it smart. I lived this firsthand at Twitter scaling from 800 to 8,000 employees, and at Google while launching AI Overviews to billions at planet scale. The problem isn't process. Process is compensation for something deeper: organizational amnesia. An organization’s "Systems of Record" doesn’t solve this, they encode it. They store what happened, never why. That's why we are investing in Sentra. Sentra is the always-on collective memory that eliminates organizational amnesia by maintaining accurate context for all members and agents, functioning as an operational nervous system. It connects to every channel where work happens, meetings, Slack, email, code commits, docs, calendars, and treats them not as artifacts to search, but as living signals to synthesize. The fleeting and the permanent, unified into a memory that understands. The founding team is built for this: - Jae Gwan Park (CEO): Product-first founder, memory systems research at UofT and MIT - Ashwin Gopinath (CSO): Former MIT professor, created "Reflexion" (NeurIPS 2023), agents that learn from mistakes, 2x founder - Andrey Starenky (CTO): Early Vapi engineer, ex-IBM, built to process enterprise-scale data firehose Together is an operator-led fund. We invest in problems we've lived. This is one of them. Many congrats Jae, Ashwin and Andrey, we are so excited to partner with you! Read the full thesis: https://lnkd.in/gixj9cE4 Book a demo: https://www.sentra.app/ #OrganizationalMemory #AI #Sentra #TogetherFund #a16z #ContextGraphs

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Today Isembard announced a $50m Series A fundraise led by Union Square Ventures, less than a year after Notion Capital led their Seed round. 💥This is a company right at the intersection of AI & supply chain sovereignty & they’re exceeding even our most optimistic expectations. By the end of the year they will have 25 factories across the UK, US, Germany, France & Ukraine. 💥Isembard is rapidly scaling its network of AI-first factories for precision manufacturing at the same time as market demand is accelerating. Macro forces (reshoring, rising defence spend, concentration risk in Asia, and the growth of neo-primes) are structurally increasing demand for fast, local, flexible manufacturing that the current industry is unable to deliver on. 💥The innovation is in the way the company builds and franchises factories as a product with tightly integrated units of machines, software, robotics, & process intelligence that turn design files into certified components with speed & reliability. 💥Their AI software platform, MasonOS, connects all sites into a single operating system, replacing fragmented shops with standardised, high-performance industrial nodes & enabling real-time quoting, predictable delivery, & low defect rates. By owning the full production stack, Isembard delivers premium manufacturing performance with the scalability & flexibility of a software platform. 💥We are at the top of the AI hype cycle and there are understandable concerns about the ROI on the vast sums of money being invested into this new super-cycle. But, the ROI for Isembard is both clear and compelling. They will deliver components 10x faster and at 50% of the cost of current suppliers. They will also build a de-centralised, global network of factories to meet the growing demand for national or regional sovereignty. 💥This is a company with a clear vision to disrupt a massive, fragmented $1.8tn component manufacturing market. Today marks another huge stride towards that vision. And they are only just getting started. We’re thrilled to be on this journey with Alexander Fitzgerald & the team & we’re also excited to welcome Rebecca Kaden & USV into the investor base. Notion Capital Union Square Ventures Alexander Fitzgerald Rebecca Kaden Maximilian Eichler Stephen Millard Britt Mulder

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Super excited for the DG Matrix team closing an incredible Series A round that will set them up to launch their next product series focused on data center deployment! This is a rockstar team (Haroon Inam Peter Sopher Subhashish Bhattacharya Karamjit Singh Lon Cunninghis TASHA KEADLE Michael Wood III) that has shown incredible resourcefulness in quickly building their innovative technology, proactivity in establishing bankability of their projects, and persistence in forging commercial relationships. Well-deserved stamp of progress! 🎉 ⚡

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The next era of clean energy isn’t just about generating power—it’s about making distributed systems reliable, investable, and built to scale. That’s why we led Omnidian's $87M funding round. Omnidian provides performance assurance for residential and commercial solar and storage systems, using predictive analytics and expert service to maximize uptime, system life, and returns. As distributed energy becomes a core part of the global grid, long-term performance and trust will define the winners. Omnidian is building the infrastructure to make that possible. Congratulations to Mark Liffmann and the entire team—this is just the beginning.

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From the beginning, we believed Lumana was building much more than a smarter surveillance tool. Lumana's platform reflects the next evolution in video intelligence — physical AI. This approach enables systems to go beyond basic detection capabilities to understanding context, infer intent, and deliver real-time insights that improve safety and operations at scale. Further, we decided to take the longer and more difficult direction of building a whole new generation and fully featured Video Management System (VMS). With the company’s $40M Series A, led by our friend Peter Wagner from Wing Venture Capital and our seed partners from SCAPITALVC, we’re doubling down on a platform that’s already proving its value in the real world. We are serving now close to ten thousands enterprise cameras in production! Founders like Sagi Ben Moshe bring a rare mix of vision and execution to the table. From our earliest conversations as an EIR at Norwest, it was clear that Lumana had the potential to reshape how organizations use video. Congratulations to the team on this well-deserved milestone. https://lnkd.in/gwHdaGPZ

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As AI workloads eat up global computing supply, DRAM prices are surging like never before—creating major challenges for teams trying to plan out their data center spend. One of my portfolio companies, Mext, is addressing the largest cost component in the datacenter: server memory (DRAM). From being on the board of Redis for the last twelve years, I’ve learned a lot about the various aspects of this problem and approaches to solving them. Mext found a breakthrough, using new AI techniques, for dramatically reducing the amount of server-DRAM required to run applications, all while maintaining performance. It intelligently manages the server’s memory, keeping hot pages (i.e., those in use by applications) in fast DRAM and offloading cold pages (i.e., those less used) to a much less expensive memory tier (e.g., NVMe Flash). Key to the approach is ensuring cold memory pages that are about to be accessed by an application are back in DRAM before the application needs them or notices that they were gone. This is done without modifications to the application or the OS – so it can run in the cloud or on-premise. Mext thus allows applications to either run using less DRAM or keep their DRAM footprint but do more with it. They're hosting a webinar along with Fred Weber (former CTO of AMD) on Jan 22nd at 10am pacific time. You can register here: https://lnkd.in/gXe9GCeE

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Camber Creek led the $3.7 million Seed round for TwinKnowledge, which is tackling an important problem in the built environment. Construction projects get delayed and rework is required because of discrepancies across construction documents, submittals, requests for information, design, and other plans. TwinKnowledge’s AI Agents absorb structured and unstructured project data, surfacing and preventing conflicts before the work begins. We’re excited about our partnership with CEO Ivan Panushev and his team. #construction #AEC #AI #technology https://ow.ly/mBYX50VtaVG

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Thrilled to share this landmark announcement from Global Interconnection Group (GIG). Our new joint venture with Scale-42 – GIGA-42 Ltd. – marks a huge step forward in building sustainable, AI-ready data centres across the Nordics. This is exactly the type of collaboration we envisioned when setting up GIG: bringing together visionary partners, renewable power, cutting-edge infrastructure, and long-term thinking to meet the world’s growing demand for secure, efficient digital capacity. A big thank you to our partners at Scale-42, and to the outstanding GIG team who are driving this mission forward. Exciting times ahead! #Sustainability #DigitalInfrastructure #DataCentres #AI #GIG #GIGA42

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We’re thrilled to back Anil Varanasi and the Meter team as they take on one of the most overlooked bottlenecks in modern business: enterprise networking. For too long, IT teams have been burdened by fragmented systems, unpredictable costs, and outdated infrastructure. Meter’s vertically integrated, Network-as-a-Service model changes that—bringing simplicity, predictability, and intelligence to a space that desperately needs it. This isn’t just about better networks; it’s about laying the groundwork for autonomous, AI-optimized infrastructure. Proud to support this exceptional team alongside General Catalyst, Microsoft, Sequoia Capital, J.P. Morgan, and Tishman Speyer . Read more about why we invested here: https://lnkd.in/erhYMDxz.

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We believe in more than just funding—we believe in fueling breakthroughs. In this short video, discover how ReX Capital partners with companies that fuse hardware, software, and AI to solve global challenges. These aren’t just ideas—they’re real solutions with traction, IP, and untapped potential. 📽️ What you'll see: ✔️ What makes a Hard Tech company fundable ✔️ Our role as a refueling catalyst for growth ✔️ How we bring more than capital—offering strategic expertise and meaningful connections If you’re part of a visionary team ready to scale but stuck at a capital crossroads, we might be the catalyst you're looking for. 📩 Let’s connect and build something game-changing. 📥 info@rex-cap.com

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🦄 $150M to improve tutoring and education globally. Preply just announced a new round, putting the company on a clear trajectory to become an iconic global marketplace. In a world obsessed with fast wins and volatile growth, some companies quietly beat their goals year after year — for more than 6 years in this case (as long as we’ve at Acurio Ventures been partners). A few learnings from this journey, relevant for founders and investors: Pick a growing market with an unsolved problem. 2 out of 8 billion people globally are learning a second language. Despite many options, outcomes are still poor. Our original thesis was simple: if you build the reference platform, everyone who wants to learn will eventually come to you. Category leadership matters. When we backed Kirill Bigai and Dmytro Voloshyn back in 2019 (together with Rob Kniaz), there were dozens of similar startups. Small details showed Preply had already built a superior tutor base and a scalable growth engine. Build a product customers love. Speaking a language and teaching it are very different things. Preply transformed the learning experience by combining a motivated base of +100,000 tutors with tools that actually drive outcomes. Never stop experimenting. Few companies maintain a strong experimentation culture as they scale. Preply’s DNA reminded me of Booking.com — enabling them to execute 10x better than most marketplaces. Great companies turn every change into an opportunity. From riding the post-COVID shift to online learning, to betting early and heavily on AI as Dmytro Voloshyn has excelled at. What once sounded like sci-fi is now reality. Great companies become talent magnets A company maturity can't be addressed only by looking at the revenue, profit or product. I like to see how much better they become at attracting talent and retaining it. Proud that Acurio Ventures made this possible and the WestCap team saw things as bullish as we do and are now supporting the next phase of Preply’s journey. Huge congratulations to the entire Preply team!!

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