Today, we’re shipping updates to @Rippling AI that make it easier to deploy data connections, skills, and automations safely across your org. They’re available to every employee, but they’re managed centrally and they’re auditable.

The hardest thing about building @harvey is doing what’s best for our customers despite immense pressure to do what’s easy. The easy thing would have been to force our customers onto consumption pricing before they were ready and serve them worse models to protect our margins. We chose to help our customers transition on a timeline that works for them and give them the best models in the meantime, even though it hurt our margins. This meant optimizing our product through routing, harness improvements, and post-training so we could serve frontier intelligence at an affordable price. It also meant building the infrastructure for customers to monitor and manage spend: usage dashboards, per-matter cost attribution, spend caps, and ROI reporting. As a result, we improved our gross margins from -50% to positive in a single quarter despite usage doubling month over month and continuing to serve the best models. Our philosophy is simple: do what’s best for our customers, even when it’s painful, hurts our margins, or draws criticism from competitors, X, and the press. We believe the most important part of building a company is earning and keeping your customers’ trust. You do that by doing the hard thing for them, even when it costs you.

On Friday, we welcomed @SecWar to Saronic in Austin as part of the Arsenal of Freedom Tour. He toured our production line and spoke directly with our employees about the mission and the role their work plays in supporting those who serve. Thank you, Secretary Hegseth, for spending time with our team and reinforcing the urgency and importance of the work ahead.

We’re excited to announce that Saronic has been awarded a U.S. Navy contract to build Landing Craft Utility (LCU) vessels at Port Alpha, our next-generation shipyard in Brownsville, Texas. Capable of transporting troops, vehicles, and up to 170 tons of cargo directly to beaches and unimproved shorelines, LCUs are essential to amphibious operations, resupply, and disaster-response missions. As Port Alpha’s first build, this program marks an important step toward expanding America’s maritime industrial capacity. It also advances our mission to deliver the vessels the Navy needs today while building toward an autonomous maritime future. Production is expected to begin in 2028, with initial deliveries planned for 2029. Read the full announcement: medium.com/saronic-technolog…

We're excited to welcome @asadovsky as our Chief Research Officer. Prior to Harvey, Adam co-led post-training at Microsoft AI and Google DeepMind. As CVP at Microsoft AI, he led post-training of MAI-Thinking-1. As a Distinguished Engineer at Google DeepMind, he led teams working on Gemini 1.0 through Gemini 2.5. Earlier at Google, he led teams working on Assistant, Search Quality, and Search Infrastructure.

Excited to share @profound has raised a $180M Series D, co-led by @sequoia and @kleinerperkins. Winning in AI Search requires an inhuman amount of work. That is why we are building the AI platform for marketers, underpinned by two things: 1/ Your AI Marketer, a marketing expert that proactively investigates your data, identifies opportunities, and then does the work while you stay in the loop. 2/ Context Manager, a living synthesis of your meetings, email threads, and brand data powering this new teammate. As your brand evolves, so does your AI Marketer. AI labs are pushing the frontier in fields like engineering, law, and finance. But marketing, one of the economy's most complex and consequential applications, has received far less attention. That’s why we’re expanding our applied AI research team. We’re bringing together research scientists, engineers, and IOI medalists to advance AI for marketing. Their focus: post-training models for marketing workflows, and building the world's first AI benchmark for real-world tasks in the field.

A central task in science and engineering is catching errors — and the silent ones are the tricky ones! :) AxQM: 1,019 kernel-checkable proof-synthesis tasks over 479 items of Nielsen & Chuang, in a Lean 4 library of finite-dimensional QM.

Introducing Discovery Loop ♾. We’re building AI to run experiments at unprecedented scale and to solve the biggest bottlenecks in science and engineering. Our founders @JeffDean, @Sanjay_Ghemawat, @quocleix, @OriolVinyalsML helped build the AI infrastructure and models that scaled the modern world. Now, we are scaling discovery itself. The future can't wait. Learn more at: discoveryloop.com

We’ve raised $550M at a $15.5B valuation, led by @DiffusionVC and @LightSpeedVP. We’ve crossed $400M in ARR and serve 3,000 customers, including 80% of the top 100 law firms, 20% of the Fortune 500, and half of the Fortune 10. We are investing the capital from this round into our two most important resources: people and compute. Our product is expanding into new verticals and more specialized solutions for areas like contracting, litigation, deals, and compliance. As usage grows, we’re investing heavily in inference and model training to deliver frontier legal intelligence at the best possible price. Building on Tenet, our first model post-trained on open-weight models, this round will let us scale the compute and data behind future generations of our models. We believe the most successful application-layer companies will become full-stack AI companies, building across applications, agents, and models. Becoming a full-stack AI company will help our customers own more of their intelligence and build their vision of a frontier legal organization. We’re also grateful to @Sequoia, @KleinerPerkins , @A16Z , @CoatueMgmt, @Conviction, @EladGil, Evantic, GIC, @GoldmanSachs, Sapphire Ventures and Whale Rock for participating in the round and backing that vision.

BREAKING: Inside Saronic’s HQ Tour in Austin, TX w/ Co-Founder & CEO Dino Mavrookas (@MavrookasD) FACTORY TOUR (Part I) Founded in 2022, @Saronic has grown from testing autonomy on an $800 Amazon raft to building vessels at industrial scale at their 420K sqft facility - home to Corsair & Mirage autonomous vessel production lines. Now, they're expanding into shipbuilding with Port Alpha, a $3B+, 835-acre shipyard in Brownsville, TX. We cover: › Corsair: 2,000-unit annual capacity & a $392M Navy production contract › Mirage: 52 feet, 15X Corsair’s volume, 2,500 nm range & now in sea trials › Port Alpha: $3B+, 835 acres & 1.5X current U.S. shipbuilding capacity › The first autonomous combat search & rescue, recovering 2 downed Apache aircrew off Oman › Corsair’s combat debut at Bandar Abbas Part I of III 𝐓𝐈𝐌𝐄𝐒𝐓𝐀𝐌𝐏𝐒 (00:00) Dino Mavrookas, Co-Founder & CEO at Saronic Technologies (00:55) Saronic's $2.6B raise (03:14) 7 Buildings, One mission (06:43) Watching Corsairs get built (09:04) How Saronic finds & trains talent (10:48) Why Saronic's boats are different (14:55) From factory floor to customer (15:48) Using autonomy in real missions (17:39) Building ships with zero room for failure (19:06) The Biggest bottleneck in autonomy testing (19:57) Saronic's newest boat (22:57) The $800 raft that started it all (26:08) From boats to building actual ships (30:43) If not CEO, then what? (31:48) The culture behind long hours

Rippling AI Revenue has grown 121% in the last two months.

I didn’t think autonomy would get nationwide-scale this fast... but here we are 📷! Our work with @HUMAIN and @TareqAmin_ will bring thousands of trucks to KSA. But this is just the start – followed by robotaxis, ports, mining, construction, and more. The size, scale and scope is unprecedented! Letssss go! 🚀🚀🚀

Memory, now in Harvey. Tell Harvey how you work, and it carries your preferences across web, Word, Outlook, playbooks, and agents. Harvey provides a citation whenever memory shapes a response.