20 years of building and beyond

Today we're launching @SpellbookLegal's biggest thing yet: Autonomous Contract Management It’s the first end-to-end AI infrastructure for contracts The world is speeding up. We are in one of the biggest investment cycles in decades. Behind every rocket launch, FIFA game, and datacenter, lies a web of hundreds of agreements. Agreements are the invisible threads that allow us to work together. We have infrastructure for finance (Stripe, Ramp), eCommerce (Shopify) and many business functions. But agreement infrastructure is lacking. This creates a painful bottleneck on our ability to work together. Online purchases take milliseconds. But agreements still take weeks. CLMs were supposed to be the answer, but were designed in a pre-AI era. AI fundamentally changed how computers can accelerate agreements. Spellbook is the most used AI contract review tool in the world, with ~5,000 customers in 80 countries Now we are expanding to deliver the first end-to-end, AI native stack for contracts. From the moment a deal lands in your inbox, to the day it renews years later, Spellbook’s AI supports teams every step of the way, across all business teams. It runs 24/7. While you sleep, it's reading the deals that came in overnight, flagging the parts that actually need a lawyer, and clearing the busywork that used to kill mornings. Nothing gets handed off between systems or slips after signature, and the intelligence stays with you for the life of the contract. AI for lawyers is great. There are 20 million lawyers in the world, and many are our users. But there are billions who touch contracts. We're excited to help everyone move faster and do more of what they love, by building the best AI-powered contract infrastructure in the world. Get early access: spellbook.com/acm

AI's energy bottleneck isn't electricity. It's getting power to the right place at the right time.

Congrats to @berman66 and the team on @runlayer's $30M Series A. Enterprises want to go all in on AI, but the moment agents start acting, most teams can't see what they're doing or stop one going rogue. Runlayer is the golden path: enablement, security, and control in one platform. After backing the team at the seed, we're doubling down because governance isn't a tax on AI adoption. We see it as the unlock. Read the feature in @FortuneMagazine from @LilyMaeLazarus 👇

Last week, @ScaledCognition announced its $100M Series A. We led the round because in any industry where an agent takes a real action, a wrong answer is the only thing that counts - and they've built the model that won't give you one. The two Dans have taken the harder road, building a new architecture instead of putting a layer on top of a frontier model, to fix AI's reliability problem. Over the next year, companies running on their models are on track to automate more than a billion customer interactions. Congrats to @roth_dan, @profdanklein, and the entire team.

Most AI today has learned to see the world. The harder and more valuable problem is teaching it to predict what happens when someone acts in it. @gen_intuition is building the large action foundation models that do exactly that, trained on billions of clips from over 17M monthly active users on Medal. Congrats to the team on their $320M Series A. Large action models are the next big leap, and this category will produce several of the most valuable companies in AI. We're backing General Intuition because it's built to lead them.

Certain applications just can’t afford hallucinations. Scaled Cognition is so far the best answer I have seen. Best customer support solution I have seen.

I am betting on this winning the world model race with human like intuition emerging in this model. Uncanny the range of things it can do. Can it win a formula 1 race soon?

Most enterprise AI is a co-pilot that makes you incrementally faster. @conveyAI built something different: AI teammates that own the outcome and run operations unattended. Over a million hours of work already done and customers like NBCUniversal, Samsara, and TelevisaUnivision. Congrats to @rohanbchopra and the team on their $38M Series A! We're proud to have backed Convey at the seed and are doubling down because they're building the AI workforce enterprises actually trust.

In tax, law, finance, and healthcare, a wrong answer isn't a hallucination. It's a liability. We're proud to have led @PramaanaLabs' $27M seed and to be backing a team building AI that's provably correct, not probabilistically correct: every output ships with mathematical proof.

“Sarvam's products are rapidly scaling, focused on the verticals where the stakes are highest: banking, insurance, gov tech, and defence. Sarvam's conversational platform now handles over 2 million interactions a day, with usage doubling in the last two months. Sarvam's agentic platform is scaling rapidly. A leading fintech powers its 350,000-strong sales force with a sales enablement platform that is delivering demonstrable gains. Sarvam's models are also being adopted by developers served on its inference platform in India which processes 10 million API calls daily, with usage tripling in the last three months.” ..and more. Love the momentum at @SarvamAI Thrilled to continue backing @pratykumar, @vivek_raghavan and the entire team @SarvamAI! cc @khoslaventures

I'm a technology optimist. I’ve spent four decades studying disruptive innovation, from the microprocessor, the internet, mobile phones to OpenAI. I'm certain AI will do 80% of the economically valuable work humans do today, for 80% of all jobs, faster than most believe. The question isn't whether mass underemployment arrives, but whether we have a policy framework ready. Right now we don't.

New from @vkhosla in the @FT: "We will need a new tax code for the wealth AI creates." A technology optimist's case that the disruption is coming faster than most believe... and that the policy framework isn't ready. Read the full piece: giftarticle.ft.com/giftartic…

Great to see the launch @castformai! Long past due for a simple devtool that enables customization and post training

I’m at @brainstormtech, and everyone is talking about world models. The real test: a model has to be accurate at scale. We're seeing it firsthand. Our foundation model for physics analyzed how advanced chips deform under heat for a leading US semiconductor company. 2 billion voxels, carrying geometry, materials, and predicting physics. Inference in 290 seconds. Accuracy validated against production data. Works out of the box. No post-training. AI for physics is the next frontier. Engineering, robotics, AVs, manufacturing, energy, and the entire hardware economy will run on models that compute how physical systems actually behave. Not approximate what they look like. Not hallucinate a plausible answer. Predict measurable reality.

Systems used to manage people now apply to the AI workforce: identity, role, access, budget, performance. Each AI coworker has a name, a mandate, a manager, and the tools to carry work from request to resolution. The existing workforce model, extended to AI. @atomicworkhq 👀 cc @khoslaventures

Legacy SaaS is telephone poles. Everyone's moved on. The infrastructure hasn't. Great analogy from Samir Kaul on why bolting AI onto old architecture isn't the same as building for it. @khoslaventures

Today, we're launching the Atomicwork AI Workforce, and we believe this is one of the most significant shifts in how enterprises get work done. For the past decade, organisations have been building AI into their workflows. But the unit of operation that enterprises are actually built on has never been a task or a workflow. It's always been a person. Someone who owns a role, shows up with context, asks for help when they need it, and gets better over time. Every dimension your organisation already uses to manage people applies to the Atomicwork AI Workforce. Identity, job role, access, budget, performance. An AI coworker has a name, a defined scope, a human manager, and the tools to see work through from start to finish. The operating model is the same one your organisation has run on for decades. What's changed is that the technology to make this real has finally arrived, and for the first time, all the pieces are ready at the same time and they compose. We're not asking teams to rethink how they work. We're giving them a workforce that works the way they already do. Read more about what this means for your organisation Welcome to the #AtomicworkForce! @amnigos @kirandarisi @parsurv @AparnaChugh @rwmesh @leningali

The future of mining, geothermal, and carbon storage starts with better subsurface intelligence. Congrats to @Terra_AI_HQ on building the AI-native platform for understanding what’s underground. Excited to continue our partnership with the team as they bring AI to one of the world’s largest industries.

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🎈@WindBorneWx 's WeatherMesh-6 is live. → Beats SOTA (govt. labs) on every parameter and every lead time → 4.5-day forecast = ECMWF's 1-day forecast → New forecast every hour → 3km model that out-forecasts NOAA's HRRR Think 30 years of progress in a single drop 🎈 cc @johndeanl @khoslaventures techcrunch.com/2026/06/01/th…