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[ARTICLE · art-60086] src=sailresearch.com ↗ pub= topic=ai-infrastructure verified=true sentiment=↑ positive

Seed + Series A: Sail raises $80M in funding from Sequoia, Kleiner Perkins, and other investors

Sail, an infrastructure startup for long-horizon AI agents, announced an $80M seed and Series A funding round led by Sequoia and Kleiner Perkins. The company builds inference servers and sandboxes optimized for extended agent runtimes, claiming 10x more intelligence per dollar through custom chips and inference engines. Sail is already working with companies like Parallel, Detail, Jack and Jill AI, and Quadrillion to deploy agents processing trillions of tokens.

read1 min views2 publishedJun 24, 2026
Seed + Series A: Sail raises $80M in funding from Sequoia, Kleiner Perkins, and other investors
Image: Sailresearch (auto-discovered)

From Neil, CEO:

We are thrilled to officially announce Sail! We build infrastructure for long-horizon agents: inference served at unbeatable price-per-token for open models, plus sandboxes designed to run for days, weeks, or even longer.

We've raised $80M, with our seed led by @Sequoia and series A led by @KleinerPerkins. We're using this capital to build the most efficient infrastructure for long horizon agents.

What makes agents so different? Unlike a human waiting at a keyboard (top priority: speed), agents need scale, reliability, and sustainable cost. Sail finds this efficiency everywhere in the stack: we carefully choose our chips, write custom inference engines, and run a global controller that fully utilizes every computer in our fleet. Tight integration from silicon to API lets Sail open up the cost / latency frontier to our customers - the most patient agents can now access 10x more intelligence per dollar.

We're excited to be working with great companies like @parallelweb, @detaildotdev, @Jackandjillai, and @quadrillion_io to deploy long-horizon agents with trillions of tokens.

Our team is thoughtful in our engineering craft and relentlessly ambitious in our pursuit of peak performance. We previously trained at companies like NVIDIA, OpenAI, Google, and so many trading firms. Now we're ready to do the work that will define our careers, in the most compute intensive market of all time.

Welcome to the era of abundant intelligence. We can't wait to build with you!

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