# Coiled

> Coiled is a lightweight cloud compute platform that lets Python users scale data science, machine learning, and AI workloads from a laptop to thousands of cloud machines without Docker or Kubernetes. Founded in 2020 by Matthew Rocklin, the creator of the open-source Dask library, Coiled runs inside a customer's own AWS, GCP, or Azure account, handling provisioning, autoscaling, environment replication, and cost visibility so data teams can run Dask clusters, serverless functions, and batch jobs with minimal friction.

- **Founded:** 2020
- **Headquarters:** New York, New York, United States
- **Founders:** Matthew Rocklin (Co-founder & CEO (creator of Dask)), Hugo Bowne-Anderson (Early leadership / Head of Developer Relations), Rami Chowdhury (Early team / Engineering)
- **Team size:** ~12 employees
- **Products:** Dask Clusters, Serverless Functions, Batch Jobs, Automatic Environment Sync, Cost & Resource Management
- **Notable:** Built on Dask, the open-source library that scales Python and is used by millions of developers, Raised $26M total including a $21M Series A led by Bessemer Venture Partners, Demonstrated processing of a 250 TB dataset with Coiled, Dask, and Xarray

## Products & services

- **Dask Clusters** — On-demand distributed Python clusters provisioned in the user's own cloud account, with autoscaling and automatic shutdown.
- **Serverless Functions** — Run heavyweight Python (pandas, Polars, DuckDB) on cloud VMs with a single decorator for parallel processing and cost optimization.
- **Batch Jobs** — SLURM-style job arrays and CLI batch jobs on the cloud, with per-job cost tracking and status monitoring.
- **Automatic Environment Sync** — Replicates a local Python environment to the cloud without Docker - package scanning and shipping handled automatically.
- **Cost & Resource Management** — Web UI for debugging, cost visibility, spot-instance handling, GPU support, custom hardware selection, and team access controls.

## Achievements

- Built on Dask, the open-source library that scales Python and is used by millions of developers
- Raised $26M total including a $21M Series A led by Bessemer Venture Partners
- Demonstrated processing of a 250 TB dataset with Coiled, Dask, and Xarray
- Adopted by marquee organizations including NASA, NVIDIA, and Moderna
- Spun out of Anaconda, turning a beloved open-source project into a cloud business

## Latest updates

- **2025-01** — Published a 2024 year-in-review and continued shipping features like SLURM-style job arrays and faster Xarray quantile computations.
- **2024-09** — Expanded batch jobs and serverless functions with per-job cloud cost tracking and integrations for Airflow and Hugging Face.
- **2023-09** — Showcased processing a 250 TB dataset with Coiled, Dask, and Xarray.
- **2022-02** — Reported strong traction deploying Dask at scale across enterprise data teams.
- **2021-05** — Launched Coiled Cloud at the Dask Distributed Summit alongside a $21M Series A led by Bessemer Venture Partners.

## Links

- Website: https://coiled.io
- LinkedIn: https://www.linkedin.com/company/coiled-computing
- Twitter/X: https://twitter.com/CoiledHQ
- GitHub: https://github.com/coiled
- YouTube: https://www.youtube.com/c/coiled

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Profile page: https://yespress.io/coiled
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Last updated: 2026-06-15