Harvey turns gross margins from -50% to positive in one quarter
Own your intelligence stack, folks. You can't scale a company to the frontier by renting intelligen...
The margin turnaround came from engineering levers — routing, harness optimisation and post-training — rather than pricing hikes, which is a playbook other AI startups can copy. Teams building on rented frontier models should take note of the argument that custom models, harnesses and evals are becoming core company assets. The spend-control tooling Harvey shipped, like per-matter cost attribution, is also directly relevant to any B2B AI product managing enterprise budgets.
Harvey co-founder Gabe Pereyra shared how the legal AI company moved its gross margins from -50% to positive in a single quarter while usage doubled month over month. Instead of forcing customers onto consumption pricing early or serving them weaker models, Harvey kept serving frontier models on customer-friendly timelines. The company improved economics through model routing, harness improvements and post-training, and built spend-management tools including usage dashboards, per-matter cost attribution, spend caps and ROI reporting. Pereyra framed the turnaround as proof that earning customer trust matters more than short-term margin protection.
Own your intelligence stack, folks. You can't scale a company to the frontier by renting intelligen...
Own your intelligence stack, folks. You can't scale a company to the frontier by renting intelligence. Custom models, harnesses, and evals are becoming huge assets. And if you're building something new, you might want to consider working on any one of these, or a combination of them. Gabe Pereyra @gabepereyra 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. 🔗 View Quoted Tweet 💬 2 🔄 1 ❤️ 12 👀 2123 📊 4 ⚡
