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Sail Research, a San Francisco AI infrastructure company, raised $80 million in combined Seed and Series A funding at a $450 million valuation. Kleiner Perkins led the Series A, and Sequoia led the Seed round. The company builds inference stacks and sandbox environments for long-horizon AI agents.
Sail Research raised $80 million in combined seed and Series A funding at a $450 million valuation. Sequoia led the seed round and Kleiner Perkins led the Series A. The startup's platform runs long-horizon AI agents in Linux-based virtual machines called Sailboxes, claiming up to 10 times lower token cost.
Sail Research launched from stealth with $80 million in seed and Series A funding at a $450 million valuation. The startup, founded by former Apple engineer Neil Movva and cofounder Samin Menon, builds an inference platform for long-running autonomous AI agents. Kleiner Perkins partner Aditya Naganath led the investment.
Sail Research, founded by Neil Movva and Samir Menon, builds fleet-aware orchestration for asynchronous AI inference. The system queues multi-turn agent workloads, routing requests across open models like DeepSeek and Qwen. GLM-5.1 on Sail costs 6x less per token than Anthropic's Haiku, using spot capacity to maximize throughput per dollar.
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