Sail Research CEO on building extreme-efficiency inference infra for long-running agents
agihouse_org · x · 2026-08-27
AGI House published an in-depth interview with Neil Movva, co-founder and CEO of Sail Research, which builds high-efficiency inference infrastructure for AI agents that run autonomously over hours, days, or weeks. Developers run agents inside customizable VMs called Sailboxes, and the company recently set a new high score on BrowseComp-Plus.
Topics covered:
- Two axes of efficiency: chip selection, inference engines, and the tradeoff between efficiency and speed
- Product and business model: why Sailboxes are free, and why inference scales better
- Honest takes on different models
- Customers, competition, and the agent economy
- The raise, hiring, and the long view on technology's societal impact
Related event: Sail Research Builds Inference Infrastructure for Long-Running AI Agents(3 posts)→
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