Eventual is building a multimodal data platform for AI systems from the ground up, designed to tackle the challenges of working with traditional data engineering and analytics alongside modern ML/AI workloads. Eventual has raised $30M from investors including Felicis, CRV, M12, Citi, YCombinator, Array VC, Caffeinated Capital and top Silicon Valley executives and founders in companies such as Meta, Lyft and Databricks.
External link for Eventual
1550 Bryant St
San Francisco, California 94103, US
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A very candid interview with me and YK from Eventual on some ground-breaking technology to take the crown away from Microsoft, Google & Spark. Warning! Very technical https://lnkd.in/geVGDaKQ
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Tomorrow at Ray Summit, we’re channeling Squid Game energy (minus the eliminations 😅). Swing by, spot the team in neon-pink jumpsuits and crocs, and enter to win an NVIDIA DGX Spark - the $4,500 mini AI supercomputer. Bonus points for a selfie with the helmets—tag us and #RaySummit so we can reshare!
Want a chance to win a Nvidia DGX Spark - the $4500 AI super computer? Come visit us at Ray Summit tomorrow!
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Scaling multimodal pipelines is fundamentally different from scaling tabular analytics. 🖼️ Images + video inflate memory 100x ⚡ GPUs + CPUs need coordinated scheduling 📦 Object stores become bottlenecks Most distributed engines weren’t built with multimodal workloads in mind: - Spark was designed for large-scale tabular analytics, not memory-heavy images or embeddings. - Ray is a flexible data loading layer, but leaves multimodal pipelines to DIY stitching with custom code. That’s why we built Flotilla, Daft’s new distributed execution engine. Key design changes: - Micro-batch + streaming execution - Arrow Flight shuffle (measured up to 10× faster than Ray’s object store) - Better observability for debugging pipelines The goal: make multimodal pipelines *reliable and scalable* without endless tuning. Full details in the comments.
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GitHub's Senior Developer Advocate Jon Peck thinks Daft brings multimodal magic to data engineering 🪄 Jon recently built an AI-powered image search engine and shared his experience comparing modern tools to the "nightmare of custom scripts and complex orchestration" from his Algorithmia days. His choice? Daft + GitHub Copilot. Why Daft stood out: ✨ Native image processing - treats images as actual data, not file paths ⚡ Chainable operations like decode() → resize() → encode() 📊 SQL queries on non-relational, heterogeneous data "Unlike traditional dataframes that treat images as file paths, Daft natively processes them," Jon explained. "It's like the data science and software development world finally caught up to what we dreamed of." The result? Clean code focusing on business logic instead of infrastructure headaches. Read Jon's full writeup and demo: https://lnkd.in/gAMigqif Try Daft yourself: https://lnkd.in/gWQcTA2i
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Big news! Today, I'm launching the Smart AI 100 List! This follows our summit on Tuesday with speakers including the President of Cisco, CRO of Nebius, VP of Microsoft, SVP of Vercel, and Partners from SignalFire, Bessemer, Insight, Index, Coatue, Pear, Gradient and more, alongside top startups like Horizon3, Pylon, Unify, Genspark, Composio, Higgsfield and more. From ~23,250 seed and Series A startups across the US, we identified the top 0.43%. This list was curated by our team at Smart Venture Media from over 400 nominations by top VCs, founders and top operators. The selection was driven by input from over 100 top VCs collectively managing $230B in capital. In addition to qualitative input, we also fact checked using proprietary data from CB insights. Since starting my podcast I’ve had over 500 conversations with top VCs, founders and tech executives on my podcast and hosted events with 800+ founders. This list reflects the backroom conversations happening in Silicon Valley, not just who is getting headlines but who the top investors think are strongest, who other founders respect, and who customers love. The metrics from CB Insights (shout out to Jason Saltzman): - $2+ billion raised collectively, with almost $1 billion this year alone - Average valuation of $88 million with 50% 6-month headcount growth - Average Mosaic score of 684 (upper quartile of all 10M+ companies on CBI) - 2.65 commercial maturity - over double the broader early-stage ecosystem - 29 companies in upper quartile of CB Insights' exit probability scores - Founded by multiple ex-Google, ex-OpenAI leaders - Market focus: Enterprise Automation (30%), Specialized Applied AI (25%), Vertical AI (25%), Infrastructure & Developer Tools (20%) See the full Smart AI 100 list here: https://lnkd.in/gU4uuFvV #SmartAI100 #TopFounders #AIStartup #Innovation #SmartVentureMedia #StartupLife #VentureCapital #AISummit #FutureofAI
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Cornell Venture Capital is celebrating its 15th anniversary! 🚀 It’s incredible to look back at how far our community has come and the impact our members and alumni have made. In honor of this milestone, we’re releasing our special 15th anniversary edition of the CVC semesterly newsletter, featuring highlights from our past semester and a word from our current management team. Some recent CVCelebrations: >> Mintlify, co-founded by CVC Alum Han Wang, recently acquired Trieve to improve RAG search in documentation. >> Eventual, co-founded by CVC Alum Jay Chia, raised a $20mm series A led by Felicis. >> CVC Alum Josh Chin (AEM '19) was named a Principal at Ansa Capital. >> Emanuel Gordis (Physics ‘23) launched Trim, a general intelligence AI model that can simulate real-world physical systems evolving over time. >> Gurvir Singh (CS ‘25) and Rayan Garg (CS ‘25) recently launched Theta, RL infrastructure to train the next generation of models. >> Operand, cofounded by CVC alum Akhil Iyengar (CS & Econ ‘26) and joined by founding engineer Javier Vega (Gov & IS ‘24) raised $3.1mm in a round led by Felicis. >> Ava Poole (AEM ‘27) was recently featured in USA Today and NYT while building Paygent (Bain Capital Ventures Lab), in the FoundHer House. Read our newsletter here ↗↗↗ https://lnkd.in/gxZMYFSZ
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🇳🇱 Join us in Amsterdam on August 27 for the Open Lakehouse Meetup! Discover how your lakehouse is ready for production-scale multimodal ML pipelines in "Your Lakehouse Has Everything You Need" with Sammy Sidhu, CEO & Co-Founder of Eventual! See how to process millions of images, documents, and videos in your lakehouse with Python and Daft—enabling scalable ML, deduplication, and batch inference using open table formats and familiar APIs. 🔗 Register now to save your spot: https://lu.ma/OLM-827 #opensource #oss #lakehouse #deltalake #multimodal #daft
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🚀 AI investments are soaring! Over $671 million poured into early-stage AI startups this week, proving the huge potential AI has for transforming industries. With Series A funding leading the charge, it's clear investors are betting big on AI's future. 🌍💡 Congrats to all the startups making waves! 🚀 Thinking Machines Lab Tacta Systems, Inc. Centific Gensmo Traversal Ellipsis Health OpenRouter HOPPR Niural Landbase LanceDB Wispr Flow Multiplier Holdings Uncountable Inc. Snowcap Compute Inc. Shinkei Profound Antimetal Synthflow AI Eventual Mercanis Warp DataBahn.ai Cluely Clarify AI Sibill Memory tensor Voliro SuperDial Lyceum Chronicle Studios SWARM Biotactics Audos Quinn Alta PrismaX Orion Arm Qualytics Warp Andrenam Unchained Robotics chatlyn Volantis Semiconductor Sunrise Robotics PublicAI Tibo Energy Management Software Claira Meridian #AIOnTheRise #AIInvestment #TechInnovation #AIStartups #FutureOfAI #Crunchbase #InvestmentOpportunities #AIRevolution #StartupEcosystem
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🔥 The 2-Minute Drill (Vol. 294 / July 6, 2025). This week's edition from Crossover VC: military software stack (Onebrief), multimodal data system infrastructure (LanceDB), AI-powered early wildfire detection (Pano AI), a new data stack for the AI era (Eventual), and autonomous sales teammates to take on CRMs (Clarify).
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🔍 𝗪𝗵𝗲𝗿𝗲 𝘁𝗼 𝗮𝗽𝗽𝗹𝘆 𝘁𝗵𝗶𝘀 𝘄𝗲𝗲𝗸? Every week I'll be scouting for rocketships that are actively hiring so that you don't have to. Start-ups & scale-ups are the best place to get that real boost in your career, so apply fast before opportunities close! 🦾 Clarify – autonomous CRM running your sales backend 𝘌𝘶𝘳𝘰𝘱𝘦 & 𝘜𝘚 𝘳𝘦𝘮𝘰𝘵𝘦 - Engineering, Product, Sales & Marketing Raised 22.5M$ in june https://lnkd.in/dJE8VtYg 🤖 HappyRobot – AI & RPA for supply chain and logistics 𝘔𝘢𝘥𝘳𝘪𝘥, 𝘚𝘢𝘯 𝘍𝘳𝘢𝘯𝘤𝘪𝘴𝘤𝘰 & 𝘊𝘩𝘪𝘤𝘢𝘨𝘰 - Sales, Engineering, Strategy & Ops roles. Raised 16M$ in june https://lnkd.in/dk_XCq9B 💰 Kalshi – trade on the outcome of Real-world Events 𝘕𝘦𝘸 𝘠𝘰𝘳𝘬 𝘰𝘳 𝘳𝘦𝘮𝘰𝘵𝘦 - Engineering, Product, Growth & Ops Raised 185M$ in june https://kalshi.com/careers 📦 Eventual – rebuilding Data Warehousing from ground up 𝘚𝘢𝘯 𝘍𝘳𝘢𝘯𝘤𝘪𝘴𝘤𝘰 - Engineering, Product, Marketing & Design Raised 30M$ in june https://www.eventual.ai/ 🔩 AllSpice.io – collaboration & automation for hardware engineers 𝘉𝘰𝘴𝘵𝘰𝘯 & 𝘚𝘢𝘯 𝘍𝘳𝘢𝘯𝘤𝘪𝘴𝘤𝘰 - Engineering, Product & GTM Raised 15M$ in june https://lnkd.in/d_aAEPEG We’ve got even more in the vault at CareerGenie 📱 but if you know more employers of the future that are hiring, tag them here! Y Combinator Techstars Microsoft for Startups