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In 2008, I joined Foundation Capital as a General Partner because I thought it would be a…
Articles by Ashu
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Ashu Garg shared thisFor two decades, consumer software captured every click, hover, and interaction, turning user behavior into a feedback loop that compounds. Enterprise software never had an equivalent. This was primarily because enterprise decisions were much harder to capture. Most consequential decisions span multiple teams, with reasoning distributed across meetings, emails, side conversations, and people's heads. It was also because there was no system that could meaningfully learn from them. Decision data was treated as process exhaust, captured in fragments but never structured in a way that allowed it to compound. That's what's starting to change. Work now lives on instrumented surfaces, and agents are entering the workflow at the point where decisions get made. Every proposal, edit, approval, and exception turns what was once implicit judgment into something observable and structured. At the same time, language models make unstructured decision data computable. For years, companies had transcripts, comments, and approval histories, but these were searchable, not learnable. Now, systems can extract structured decision artifacts from that data and link them to outcomes. The compounding asset enterprise software never had is finally starting to emerge. Jaya Gupta and I wrote a follow-up to our context graphs piece on why this shift is happening now, and what it unlocks.
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Ashu Garg reposted thisAshu Garg reposted thisAnvilogic is on a mission to be the unified #AI #SOC Platform for #detection and #triage. Their founder and CEO Karthik Kannan sat down with Cybercrime Magazine at the RSAC Conference this week and we were extremely impressed. Learn why some of the world's best SOC teams use Anvilogic at https://www.anvilogic.com
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Ashu Garg reposted thisAshu Garg reposted thisMany B2B founders (including me) were always slightly jealous of the network effects and moats that emerged for B2C businesses that worked. Jaya Gupta and Ashu Garg wrote a great piece about how similar structural advantages are now possible in B2B.Google's 20-year secret is now available to every enterpriseGoogle's 20-year secret is now available to every enterprise
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Ashu Garg reposted thisB2C companies have been compounding behavioral signals for two decades. B2B companies largely have not. Now, for the first time, that's starting to change. My latest thinking with Jaya Gupta:Google's 20-year secret is now available to every enterpriseGoogle's 20-year secret is now available to every enterprise
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Ashu Garg reposted thisAshu Garg reposted thisFor too long, interviewing has been managed as an activity instead of built as an intelligence layer. It remains one of the most important systems in how organizations evaluate talent, yet it is still inconsistent, unstructured, difficult to scale, and limited by human capacity. On April 8, we will share how Eightfold AI is reimagining the interview as a source of structure, signal, and competitive advantage. This means moving beyond the black box of traditional interviews toward a model that is consistent, compliant, and connected end to end. It also means bringing agent-scale to the entire interview journey—from AI-led screening and functional evaluations to coding interviews and AI Interview Companion, strengthening human-led interviews with greater structure and better signals. This is not about replacing human judgment. It is about elevating it with clearer standards and a more complete picture of every candidate. This is the future of interviewing, and a foundational step toward the Infinite Workforce. Join us on April 8 → https://lnkd.in/gX48HuwN
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Ashu Garg shared thisThe graveyard of enterprise AI pilots is full of products that couldn't clear security and governance. At our recent CEO and CIO dinners, we heard this repeatedly from Arsalan Tavakoli (Databricks), Rajat Taneja (Visa), and CIOs from Zuora, Asana, and BlackLine. In many orgs, data can’t simply be sent to a third-party cloud. It often needs to stay within a company’s own environment, whether that’s a private cloud (VPC) or on-prem. There are also baseline certification requirements: SOC 2, HIPAA, HiTrust, Veracode, BlackDuck. Security reviews alone can take longer than the pilot itself. Once those boxes are checked, what happens next is less understood. Large companies now have hundreds of agents running across the org, many of them built by employees without engineering backgrounds. Most are still working out how to maintain visibility into what those agents are doing, if they’re interacting with each other in unintended ways, and whether they’re compromising the company’s underlying data and permissions model. This is where many deployments break down - and where the next layer of value is getting built. Arize AI (a FC portco) has seen product usage go up 10x in the last quarter alone: a sign of how urgently enterprises need observability and evals. More my the latest B2BaCEO: https://lnkd.in/dGduhjUz
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Ashu Garg shared thisB2C companies have been compounding behavioral signals for two decades. B2B companies largely have not. Now, for the first time, that's starting to change. My latest thinking with Jaya Gupta:Google's 20-year secret is now available to every enterpriseGoogle's 20-year secret is now available to every enterprise
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Ashu Garg shared thisEnterprise AI has a pilot problem. The gap between a promising pilot and concrete change in how work gets done was one of the central themes of our recent CEO and CIO dinners. We heard from Arsalan Tavakoli of Databricks, Rajat Taneja of Visa, and CIOs from Zuora, Asana, and BlackLine. As Rajat put it, pilots are almost always too pristine to matter. They run on curated data in controlled environments. Production is much messier, with imperfect data, edge cases, and the full complexity of how a business operates. The teams seeing the most impact from AI start with use cases that have bounded scope, high-quality data that’s easy to connect to models, a clear outcome, and humans in the loop. They test against production traffic earlier, with the ability to revert when something breaks. Along with the pilot trap, we got into why most enterprises have no visibility into what their agents are doing, why founders who try to work around the CIO tend to regret it, and why layering AI on top of existing processes only gets you so far - the biggest gains require redesigning how work gets done. Read the full recap in my latest B2BaCEO: https://lnkd.in/gsqpzhNs
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Ashu Garg reposted thisAshu Garg reposted thisAgents are the new attack surface.
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Ashu Garg liked thisThe agentic era is here, and Eightfold AI is ready to lead the way. I’m thrilled to share that I’m stepping into a new role at Eightfold AI as a founding member of our Agentic Account Executive team. At Eightfold AI, we’re combining our AI-native talent intelligence platform with truly agentic capabilities to help hiring teams spend less time on repetitive tasks and more time on what really matters: building meaningful relationships with the talent that will shape their organizations. As I reflect on the last four years at Eightfold, I’m incredibly grateful for the relationships I’ve built and for the people who have played such an important role in my growth. A special thank you to Michael Delzotti, Cory Eno, Jake Darrow, Daniel Sherer, Chiara Tranquilli, Griffen Dias, Dan Boylen, Bart Mebel, Benjamin Wang, Darius Williams, Alizé Ramsey, Ted Fisch, Robert J. Ogorzat, Tim Black, Tim Field, Quin Adler, M. Ryan Kirkpatrick, Jeremy D., Brandi Anderson, Sandra Bailey, Lauren Drago, Rebecca Warren, Sue Ostaszewski, Cherrie McKinnon, Navneet Singh, Nicole Brungo, Jason Gorski, Kaycee Bentley, Tim Butler and many more who have helped shape my journey. I’m excited for what’s ahead and for the opportunity to help organizations think differently about what Agentic AI can mean for talent acquisition. If your organization is thinking about how Agentic AI can support your talent goals, let’s connect!
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Ashu Garg liked thisAshu Garg liked thisAnvilogic is on a mission to be the unified #AI #SOC Platform for #detection and #triage. Their founder and CEO Karthik Kannan sat down with Cybercrime Magazine at the RSAC Conference this week and we were extremely impressed. Learn why some of the world's best SOC teams use Anvilogic at https://www.anvilogic.com
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Ashu Garg liked thisAshu Garg liked this#NodesAI's agenda keeps getting better! Jaya Gupta, Partner at Foundation Capital; Animesh Koratana, CEO of PlayerZero; and Lasse Andresen, CEO of IndyKite, will join Neo4j's Emil Eifrem and Philip Rathle on a panel discussion about #ContextGraphs. ❓ What's the missing layer between data and decisions? How systems capture the “why” behind actions? How do they learn from experience and evolve with every interaction? Join us for this insightful discussion at #NodesAI on April 15. Register! https://bit.ly/4sqjuOZ
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Ashu Garg liked thisAshu Garg liked thisI’m thrilled to announce that Fulcrum has acquired Megaphone! Albert Hu and Catherine Chang are joining as Founding Product Manager and Founding Product Designer. They previously co-founded a platform that powered key marketing workflows for companies like Coinbase and Forbes and picked us over much larger companies to build with next. Albert and Catherine bring what I'd call taste: a sharp instinct for how great product should look and feel, even in deeply complex domains. Three weeks in, Albert is already on calls with our largest customers pressure-testing our roadmap. Catherine is redesigning workflows that account managers have been doing by hand for thirty years. It's been a joy to watch. Revenue is skyrocketing. We're already powering the top firms in the world. But most remarkably, we’re watching in real time as Fulcrum transforms how brokerages think about talent planning and organizational design. And this is just the beginning. Join us, we’re hiring.
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Peter Hsing
Peter Hsing
Early stage venture capital firm investing in strong technology startup teams in Silicon Valley by providing capital (seed, Series A + follow-on), helping set strategy, tuning business models and go-to-market plans, developing/testing pricing models, advising on major operational issues, recruiting key talent, and assisting in business development, capital raising, and M&A.<br><br>Portfolio includes: AiSight, ALICE Technologies, AllClear ID, Alucid (acq'ed by Magic Leap), Amplitude, Apptimize (Airship), Arch Systems, Aromyx, Authentic8, Censia, Chai Labs (Facebook), Corona Labs (Fuse Powered), Fixed (Lawgix), FundRocket, Fuse Powered (Upsight), Gas Pos, Good Counsel, Indio (Applied Systems), IO Turbine (Fusion-io), Iterable, Kamcord (Lyft), Magic Leap, Modern Life, Modewalk (Moda Operandi), Moesif, Natero (Freshworks), NextRoll (fka AdRoll), Omny, Origin, Outward (Williams-Sonoma), Parabola, Periscope (Sisense), Perzo (Symphony Communication), Relimetrics, Runa (Staples), Safi Analytics, SensorTower (Riverwood), Shelterluv, Silexica, Sisense, Spellbrush, Splashtop, Symphony Communication, tag.bio, Talage, Tarsier, TerrAvion, Womply, WorkPatterns, Xcalar.<br><br>Angel investments: Ayla Networks, Bitesize, find bioscience, FuelX, ITapp (ServiceNow), Kwant.ai, KYC Hospitality, Shopline (JOYY).<br><br>Tags: Enterprise SaaS, marketplaces, payments, API / APIs / API-first, augmented reality (AR), virtual reality (VR), machine learning (ML), artificial intelligence (AI), deep learning, FinTech, InsurTech / InsureTech, PropTech, CRETech, bioinformatics, computational biology, IOT, industrial IOT (IIOT), image processing, video processing, machine vision, computer vision, big data, predictive analytics, data science, data warehouse / data warehousing.
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