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Venture capital investor
Specialties: Entrepreneurial startups and high growth…
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Jeremy Levine reposted thisJeremy Levine reposted thisFin (formerly Intercom) has signed a definitive agreement to be acquired by Salesforce. For any founder wondering what it looks like to transform a SaaS business into an AI-native platform, CEO and founder Eoghan McCabe and the Fin team provided the blueprint. When AI arrived, the team didn't just layer on new features and call it transformation. Nearly four years ago, the team jumped on weeks-old modern LLMs, and shipped intensely, to create and define the category we know as Customer Agents today. They reinvented Intercom, a leader in the SaaS era, to make way for Fin, the AI customer agent. Today Fin is a category-defining customer agent company. Once the acquisition has closed, Salesforce will gain Fin’s core capability, resolving complex customer queries end-to-end across live chat, email, WhatsApp, SMS, phone, and Slack. At the center is Apex, Fin's proprietary AI model, purpose-built for customer support. Bessemer first invested in Intercom in 2014, when Byron Deeter and Ethan Kurzweil led the Series B, just a few years after its founding in 2011. Almost a decade later, Talia Goldberg doubled down on the company and joined the board as it entered the AI era. The early bet wasn't just on a messaging product, but also its founders: Eoghan McCabe, Des Traynor, and Ciaran Lee, who believed the relationship between businesses and their customers deserved to be fundamentally better. That conviction was clear from the first conversation. So was their willingness to do whatever it took, including the courage to know when it was time to build something entirely new. Congratulations to Eoghan, Des, Ciaran, and the entire Fin team on this milestone! cc: Anna Khan, Lindsay McNeil, Lindsey Li, Sam Bondy, Bhavik N., and the entire deal team part of this milestone and journey.
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Jeremy Levine reposted thisJeremy Levine reposted thisEvery major infrastructure shift gives rise to a networking giant. Cisco defined broadband. Arista defined cloud. We believe DriveNets will define the AI era as a leader in AI networking solutions—which is why we're leading their $410M Series D. The market wasn't ready until now. AI training workloads rewarded homogeneous infrastructure, and NVIDIA's bundled stack was good enough. But homogeneous infrastructure can't serve a data center running dozens of workload types simultaneously. The monolithic stack is fracturing, and interconnect requirements are growing 3x faster than GPU count. The network is the new bottleneck. What sets DriveNets apart isn't just that they work across every compute vendor (NVIDIA, AMD, Cerebras, and whoever comes next). It's how deep they went: rewriting the low-level libraries that govern how GPUs coordinate, managing congestion at the lowest level of the stack rather than at the switch. The more fragmented inference becomes, the more critical it is to have one unified networking stack beneath it. There may be a dozen compute platforms competing for this market, but only one networking vendor capable of validated, end-to-end systems across all of them. That's DriveNets. Read more from Adam Fisher on why we invested: https://lnkd.in/gnJNaQUw
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Jeremy Levine reposted thisJeremy Levine reposted thisAutodesk's proposed ~$3.6 billion acquisition of MaintainX is bigger than a deal. It's a signal about where an entire category is heading. Physical industries have run on disconnected systems for decades. Design lives in one place. Operations in another. The result: engineers design without field feedback, operators maintain without design context. That gap costs the industry billions annually in avoidable failures. Chris Turlica and Hugo Dozois-Caouette saw this early and inspired us by “what could be”. We were proud to partner with them back in 2021, then continue to double down in all their subsequent rounds including again leading their latest $150M Series D in 2025. Each round deepened our conviction that they are building something more than a maintenance platform. They were building the connective layer for frontline operations across manufacturing, facilities management, food and beverage, and distribution. With Autodesk, the goal is for that connective layer to link to where products are designed. This is not just a distribution story. Over time, the design and operations dataset this combination creates will be among the most valuable in all of industrial tech. Incredibly proud of Chris, Hugo, and the team and for what’s to come! Bessemer Venture Partners Sam Bondy https://lnkd.in/grUZS-CNAutodesk to acquire MaintainX, advancing unified platform in operationsAutodesk to acquire MaintainX, advancing unified platform in operations
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Jeremy Levine reposted thisJeremy Levine reposted thisBhavik and I are heading to Vienna for ICRA 2026 in 2 weeks! We've teamed up with XDOF to host a boat cruise on the Danube for a small group of robotics founders, researchers, and operators. This is a great opportunity to connect with fellow innovators in a setting that isn't a hotel lobby or a hallway between sessions. Details below. Hope to see you there! Date: June 2nd Time: 7pm - 9pm What: Danube sunset cruise Apply to attend here: https://luma.com/qxgpdp6y cc Bessemer Venture Partners XDOF Bhavik N.Sunset cruise on the Danube with Bessemer & XDOF · LumaSunset cruise on the Danube with Bessemer & XDOF · Luma
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Jeremy Levine shared thisSebastian Thrun won the 2005 DARPA Grand Challenge, co-founded Google X, and led the self-driving car project that became Waymo. His robot, Stanley, is now in the Smithsonian. I sat down with Sebastian at Bessemer's first-ever Robotics Day in San Francisco to hear what 20 years in robotics taught him. His perspective on the "ChatGPT moment" for robotics was pragmatic, and he shared several insights for founders. One of the biggest lessons: robotics has more than just a hardware problem. Read all seven lessons: https://lnkd.in/e6BAqQNVSeven lessons for every robotics founder from the ‘godfather of self-driving cars’Seven lessons for every robotics founder from the ‘godfather of self-driving cars’
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Jeremy Levine reposted thisJeremy Levine reposted this𝐇𝐨𝐜𝐤𝐞𝐲𝐒𝐭𝐚𝐜𝐤 (𝐘𝐂 𝐒𝟐𝟑) 𝐫𝐚𝐢𝐬𝐞𝐝 $𝟓𝟎𝐌 𝐭𝐨 𝐛𝐮𝐢𝐥𝐝 𝐀𝐈 𝐫𝐞𝐯𝐞𝐧𝐮𝐞 𝐚𝐠𝐞𝐧𝐭𝐬 𝐟𝐨𝐫 𝐭𝐡𝐞 𝐞𝐧𝐭𝐞𝐫𝐩𝐫𝐢𝐬𝐞. 📈 Since 2023, they've fundamentally reimagined the data architecture that powers revenue teams at the world's largest companies—scaling to serve 300+ customers in under two years. Systems of record are becoming systems of action. And yet most sales teams are still running on tribal knowledge, gut calls, and wishful CRM stages. HockeyStack is fixing that. Their Revenue Agents platform: → Reverse-engineers every deal you've won or lost to build a blueprint for success → Replicates what your top reps do to help the rest of the team close more → Monitors every deal and account in real time — flagging risks and executing the right moves autonomously The result: fewer deals stalling in the dark, better champion identification, and more revenue. Congrats to co-founders Buğra Gündüz (CEO), Arda Bulut (CTO), and Emir Atli Atlı (CRO) on the milestone! H/T Jeremy Levine, Alexandra Sukin, Eric Kaplan, Elliott Robinson, Andrew Ren, and Brian Feinstein More in the comments ↓
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Jeremy Levine reposted thisJeremy Levine reposted thisWe raised $50M to build the World’s First AI Revenue Agent: It runs New Business, Expansion, and Prospecting 24/7. AI is changing the world, but Sales teams still run on tribal knowledge, gut calls, and fictional CRM stages: - Your best rep closes 2-3x more than your median. Nobody knows why. - Pipeline reviews are guesswork, and forecasts break every quarter. - Every tool tells you what happened. None of them close you more business. HockeyStack’s Revenue Agents fix this in 3 key ways: 1. Build your winning Blueprint: HockeyStack reverse-engineers every deal you've ever won or lost and extracts the exact path to win, by motion and segment. This becomes the brain for Revenue Agents. 2. Clone your Top reps: Your top performers run plays that live in their heads. HockeyStack finds and deploys them across your entire team. 3. Deploy Revenue Agents: Dedicated Agents monitor every deal and account, execute the right moves autonomously, and flag risks. A Revenue Agent spots your $550K deal about to stall, identifies a new champion, gets the intro, and preps your rep. All before morning coffee. 300+ Enterprise companies run revenue on HockeyStack, including Microsoft, 8x8, and Yext. On average, teams close 48% more deals using the platform. If you have 30+ reps, HockeyStack will 2x their output. If you don't see it in a pilot, I'll donate $10K to a charity of your choice. Book a demo here: https://lnkd.in/gpDVQ4Wm Everything in my life has led to this moment: I grew up middle-class in Turkey, made $350K when I was 18 with my first SaaS, and dropped out of college after 3 months to build a generational company. Today, we are an 8-figure business. Fortune 100 companies trust and love us, and 90+ of the smartest people in tech joined our team last year to build the Agent that Revenue Teams deserve. Thank you to: Our investors who tripled down (Bessemer Venture Partners, Y Combinator, Alexandra Sukin, Jeremy Levine, and Salil Deshpande), customers, team, and my co-founders.
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Jeremy Levine reposted thisJeremy Levine reposted thisPhysical AI went from research topic to investment priority in about 18 months. The talent migration is real — top researchers are leaving large labs to build at emerging startups in this space, and the gap between what's in the lab and what's getting deployed is closing faster than most people realize. We’ve put together eight of the top thought leaders, founders, and builders shaping physical AI. 1️⃣ Adrian Macneil — built data infrastructure at Cruise, now runs Foxglove. 2️⃣ Armen Aghajanyan — led multimodal AI research at Meta, now building real-time physical world foundation models at Perceptron AI. 3️⃣ Sandy Hefftz — from moon spacecraft at SpaceIL to Amazon Prime Air to founding Bellboy Robotics, deploying autonomous robots across commercial real estate. 4️⃣ Sebastian Thrun — won the DARPA Grand Challenge, co-founded Waymo and Google X. The original blueprint for what a robotics career can look like. 5️⃣ Jason Ma — ex-Google DeepMind co-founded Dyna Robotics, where their model ran autonomously for 24 hours folding 850+ napkins at 99.4% success. Not a demo — production. 6️⃣ Ted Stinson— stepped up as CEO of Covariant after Amazon acqui-hired its founders. Now running one of the most commercially proven AI robotics companies in the world. 7️⃣ Philipp Wu — built GELLO, an open-source sub-$300 teleoperation device that democratized robot training data. 8️⃣ Ury Zhilinsky — simulation and behavior veteran from Waymo and Nuro, now bringing that depth to Mind Robotics. Follow Bessemer Venture Partners for more on where physical AI is headed. https://lnkd.in/gnFGPs9S #Robotics #PhysicalAI #Founders #AI #Startups
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Jeremy Levine reposted thisJeremy Levine reposted thisOut now — Bessemer's list of 50 physical AI startups that we believe will define the next generation of robotics and autonomous systems. After decades of promise, embodied intelligence is finally moving from labs to factory floors, battlefields, and everyday life. At our first Robotics Day in San Francisco, we gathered founders and researchers building at this intersection to explore what's driving inflection: breakthrough AI models, falling hardware costs, and acute labor shortages. The 50 companies on this list share a common approach: 🔹 Building world-class technical teams combining robotics, AI, and systems engineering expertise 🔹 Focusing on high-value, repeatable use cases 🔹 Deepening partnerships with customers who provide real-world data From Waymo and Anduril Industries setting the standard in autonomous vehicles and defense to Foxglove and Zeromatter building the infrastructure layer, these companies are turning physical AI research into deployed systems across eight key categories. See the full list ⏩️ https://lnkd.in/gEcvGG8N
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Jeremy Levine liked thisJeremy Levine liked thisI had the pleasure of hosting 350 of our McKinsey alumni last week in New York. Against the backdrop of McKinsey’s 100th year, 250 years since the founding of the US, and of course the Knicks championship 🏀 🇺🇸, it was an evening of celebration, connectivity, and a discussion of what comes next. Aly Spencer led a discussion on sustaining America’s competitive edge inspired by our MGI A250 research with senior partner Rob Levin and alum Jeremy Levine. The common thread was clear: competitiveness cannot just rely on innovation. It’s about execution and creating the right societal conditions. Not just ideas, but the ability to scale them into scalable impact. Getting our great alumni together is always energizing, and I left inspired by the perspectives shared and the many ways our alumni continue to shape the city and the world around us. Thank you to everyone who joined us and contributed to a great evening. #Leadership #NewYork #AI #McKinseyAlumni
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Jeremy Levine liked thisJeremy Levine liked thisEvery major infrastructure shift gives rise to a networking giant. Cisco defined broadband. Arista defined cloud. We believe DriveNets will define the AI era as a leader in AI networking solutions—which is why we're leading their $410M Series D. The market wasn't ready until now. AI training workloads rewarded homogeneous infrastructure, and NVIDIA's bundled stack was good enough. But homogeneous infrastructure can't serve a data center running dozens of workload types simultaneously. The monolithic stack is fracturing, and interconnect requirements are growing 3x faster than GPU count. The network is the new bottleneck. What sets DriveNets apart isn't just that they work across every compute vendor (NVIDIA, AMD, Cerebras, and whoever comes next). It's how deep they went: rewriting the low-level libraries that govern how GPUs coordinate, managing congestion at the lowest level of the stack rather than at the switch. The more fragmented inference becomes, the more critical it is to have one unified networking stack beneath it. There may be a dozen compute platforms competing for this market, but only one networking vendor capable of validated, end-to-end systems across all of them. That's DriveNets. Read more from Adam Fisher on why we invested: https://lnkd.in/gnJNaQUw
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Jeremy Levine liked thisJeremy Levine liked this𝐇𝐨𝐜𝐤𝐞𝐲𝐒𝐭𝐚𝐜𝐤 (𝐘𝐂 𝐒𝟐𝟑) 𝐫𝐚𝐢𝐬𝐞𝐝 $𝟓𝟎𝐌 𝐭𝐨 𝐛𝐮𝐢𝐥𝐝 𝐀𝐈 𝐫𝐞𝐯𝐞𝐧𝐮𝐞 𝐚𝐠𝐞𝐧𝐭𝐬 𝐟𝐨𝐫 𝐭𝐡𝐞 𝐞𝐧𝐭𝐞𝐫𝐩𝐫𝐢𝐬𝐞. 📈 Since 2023, they've fundamentally reimagined the data architecture that powers revenue teams at the world's largest companies—scaling to serve 300+ customers in under two years. Systems of record are becoming systems of action. And yet most sales teams are still running on tribal knowledge, gut calls, and wishful CRM stages. HockeyStack is fixing that. Their Revenue Agents platform: → Reverse-engineers every deal you've won or lost to build a blueprint for success → Replicates what your top reps do to help the rest of the team close more → Monitors every deal and account in real time — flagging risks and executing the right moves autonomously The result: fewer deals stalling in the dark, better champion identification, and more revenue. Congrats to co-founders Buğra Gündüz (CEO), Arda Bulut (CTO), and Emir Atli Atlı (CRO) on the milestone! H/T Jeremy Levine, Alexandra Sukin, Eric Kaplan, Elliott Robinson, Andrew Ren, and Brian Feinstein More in the comments ↓
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