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Quadrillion

Quadrillion

Software Development

New York, NY 901 followers

Quadrillion Labs is building the future of automated research intelligence.

About us

Quadrillion Labs is building the future of general research intelligence. We're based in New York City, backed by $18M from Conviction, Audacious, Bloomberg Beta, ex/ante, and angels including Wes McKinney (creator of Pandas). We're hiring across engineering, research, and go-to-market.

Industry
Software Development
Company size
2-10 employees
Headquarters
New York, NY
Type
Privately Held

Locations

Employees at Quadrillion

Updates

  • Quadrillion reposted this

    Today we're launching Sailboxes: the first cloud environment purpose-built for long-horizon AI agents. Sailboxes are full machines with persistent state that auto-sleep when idle, so waiting on input, inference, or results costs nothing. No runtime limits means agents can run for days or weeks. Need to scale? Fork a running Sailbox instead of provisioning from scratch. All from $0.015 per active vCPU-hour, over 70% cheaper than other providers. Under the hood: novel architecture from Nirvik Baruah and Charley Cunningham that live-migrates VMs based on actual resource usage. To prove how robust it is, we ran a Minecraft server in a Sailbox and forced it to migrate every 2 minutes--players never noticed. Each Sailbox is a full machine with independent disk, Docker support, local NVMe, persistent state. Memory is elastic too: boxes start small, grow up to 128 GB as your workload needs, and shrink back automatically. Your agents behave the same in the cloud as they do locally. Thousands are already in production: hosting agents, running RL rollouts, powering coding + triage workflows. We’re excited to partner with our friends Quadrillion Labs who are already running parallel research experiments on Sailboxes via Qualia Cloud. Spin up your Sailbox today at the link below in comments!

  • When you're doing research 20x faster than a single human, every experiment needs its own fast, isolated environment. That's why we're excited to have partnered with Sail Research! Sailboxes have been excellent on both performance and availability, and they've held up under difficult, real-life research tasks. The engineering behind them is a great fit for agentic workloads, where thousands of environments spin up and wind down as agents explore a complex research problem. We're looking forward to making Sailboxes available as part of Qualia Cloud, currently in private beta. Reach out for access!

  • Excited to work with the talented team at Sail Research to build the best AI agent workforce for research 🎉

    View profile for Neil Movva

    Samir Menon and I are thrilled to announce Sail Research! 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 Capital and series A led by Kleiner Perkins. What makes agents so different? Instead of racing to serve a human waiting at a keyboard, 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 Parallel Web Systems, Detail, Jack & Jill, and Quadrillion Labs 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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