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)→
More from coding & agent
- Musk amplifies dev's verdict: Grok Bot easier to use than Codex and Claude — elonmusk · 2026-10-15
- Blob0 launches: a macOS file-manager-style desktop client for S3 and Cloudflare R2 — yihui_indie · 2026-10-15
- The 6-Layer AI Engineer Skill Stack for 2026: Vectors to Multi-Agent Ops — mdancho84 · 2026-10-15
- Building a Mechanical Engineering Agent Workflow in ChatGPT: 30-Node Canvas Shows Promise — burhop · 2026-10-15
- Open-source Harness Engineering course hits 19k stars, shows $9 vs $200 gap between failing and working agent setups — thisguyknowsai · 2026-10-15
- A 6-person team shipped healthcare prior-auth AI agents in 3 months — here's the playbook — alex_verem · 2026-10-15