Sail Research

Infra for long-horizon agents.

[Theory Ventures @Theoryvc]

As token costs keep climbing 📈, where else can we find efficiency gains? Partner @SpencerFarrar dug into how @sailresearchco is answering this question with more efficient inference and long-horizon agents. We're proud to back their Series A.

[Neil Movva @neilmovva]

All modern AI chips are heavily power constrained. Etched is rethinking 30 years of silicon design to minimize pJ / FLOP in their ALUs. This is the type of big swing we need! and exactly the kind of throughput compute @sailresearchco wants!

[Samir Menon @blintzbase]

If you can’t get on the list just use GLM 5.2 on @sailresearchco!!

[Kevin Hartz @kevinhartz]

Neil and Samir skate ahead of the puck

[Sail Research @sailresearchco]

@p0 Let the tokens flow. https://t.co/FrwOX3835F

[Sail Research @sailresearchco]

Last group stage matches this weekend ⚽️ Who's winning the World Cup? We spun up an agent on @sailresearchco (inference + Sailbox) to answer w/ web research via Parallel @p0. 26 GLM 5.2 subagents, 1M tokens, and less than $1 later, here's its take:

[Brittany @brittwalker_]

Long-horizon agents are coming, and we need better infrastructure.

@neilmovva, Samir, and team are the best in the game - so excited to partner with them @CRV!

[Alex Moskowitz @amosk1120]

@sailresearchco is focused on the frontier of agentic inference. A future where there are hundreds of long-horizon agents in the background and no bill when not running.

Customers can build agents that are maximally ambitious without worrying about dollar constraints.

Congratulations to @neilmovva & @blintzbase! I have never met someone who walked out of a meeting with this team and didn’t have their jaw on the floor. Generational talent building full-stack infrastructure, from silicon to sandboxes, for the largest use case in the largest market in the world.

Proud investors @VineVenturesLP today and for years to come.

[Konstantine Buhler @Konstantine]

Neil Movva @neilmovva and Samir Menon @blintzbase are two of the most brilliant young AI infrastructure architects in the valley.

With big company experience at Apple, NVIDIA, and Intel, high-growth experience at Together AI, and repeat-founder experience at Blyss, they were a triple threat. Not only were they deep engineers, but also charismatic, visionary, and extremely driven.

So when they laid out a vision for a new infrastructure platform built specifically for agents working in the background, Lauren Reeder @laurenmhreeder and I at @sequoia enthusiastically led their Seed.

Agents work autonomously for hours. They read entire codebases. They screen hundreds of candidates. They run thousands of simultaneous tasks. Sail Research is custom built for AI Agents.

Sail has assembled a dream team and are already processing trillions of tokens per week on behalf of their customers.

Today, Sail is announcing their $80M Seed & Series A, with us, Kleiner Perkins, Redpoint, Theory Ventures, Vine Ventures, and CRV.

Neil and Samir: the best is yet to come.

Special thanks to the extraordinary Jason Ginsberg @JasonBud who introduced me to Neil and the company.

[Sail Research @sailresearchco]

Lucky to have you on board from day 1!

[Lauren Reeder @laurenmhreeder]

Congrats @neilmovva, @blintzbase, and the whole @sailresearchco team!

Tokens have fast become the lifeblood of every AI startup. @sailresearchco is building the infrastructure to scale agents to the stars and back.

Let the tokens flow!!

[Renee Shah @reneeshah123]

Sail Research (@sailresearchco) is building an inference platform for long-running agents. We're excited to share our $20M investment in Sail, as part of their $80M Seed & Series A round, alongside our friends at Kleiner, Sequoia, Theory, and several other fabulous co-investors.

@neilmovva and @blintzbase are generational founders – highly technical, customer obsessed, and shipping fast.

Agents will consume far more tokens than humans, and an inference engine for agents requires different design decisions at every layer of the stack – running across heterogeneous hardware, writing custom kernels, and pausing, resuming, and forking entire VMs, including open network connections. The result is better primitives for developers building long-running agents, higher throughout, and lower costs.

I’ve gotten to know much of the founding team at Sail, and every member of the team could be a founder on their own. To capture the vibe of the team, we at @Redpoint spent a day at Sail’s offices filming a short documentary on the company’s mission. Neil and Samir are wildly articulate, so hear them in their own words, and reach out if you’d like to work at Sail!

[Aditya Naganath @anaganath]

@kleinerperkins is thrilled to lead the Series A of @sailresearchco and I'm pumped to have joined the board. Agents executing complex work end to end is the ultimate promise of AI, but they are also extremely token hungry. With exploding token volumes, latency stops being the bottleneck. Cost and throughput become everything. Businesses simply cannot afford their inference bills in the age of agents and we're already seeing signs of the tokenmaxxing era running into budget caps, leaving tons of demand for intelligence unmet.

@neilmovva and @blintzbase are two of the most precocious builders I've met and are building Sail to meet the moment. They are building *the* inference platform for long horizon agents that will enable every business to run their agents with maximum efficiency and lowest cost. In addition, they have built world class observability (Sail Voyages) and a stateful sandbox (Sailboxes) positioning Sail to be the one place where you operate and run your most critical agents.

[Sail Research @sailresearchco]

@echinaceous stoked to be working together! can't wait to see this 🛳️

[Spencer Farrar @SpencerFarrar]

https://t.co/VQYD2w4PCu

[Sail Research @sailresearchco]

@neilmovva day zero of refusing to let a GPU sit idle

[Samir Menon @blintzbase]

@ItzSuds from the archives

[Sail Research @sailresearchco]

And we're Sailing! Excited to share more about what we're building for long-horizon agents, starting with inference. Stay tuned for more to come!

[Neil Movva @neilmovva]

Samir Menon @blintzbase and I are thrilled to announce Sail @sailresearchco ! We build infrastructure for long-horizon agents: inference served at unbeatable prices-per-token for open models, plus sandboxes designed to run for days, weeks, or longer.

We've raised $80M, w/ 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_ai 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!

[Sail Research @sailresearchco]

Agent, in the background.

[Sail Research @sailresearchco]

Let the tokens flow