Coiled, a San Francisco, CA-based solution for scaling data science, machine learning, and AI in Python, raised $5m in seed funding.
The round was co-led by Costanoa Ventures and IA Ventures, with participation from Anthony Goldbloom and Ben Hamner, and Techammer.
Led by CEO and Founder Matthew Rocklin, Hugo Bowne-Anderson and Rami Chowdhury, Coiled provides products that ensure that data infrastructure scales at maximum speed, minimum cost, and with the Python tools data scientists already use. It makes it easy for teams and organizations to collaborate and ensures reproducibility with data of any size and simplifies working in the cloud. Coiled’s team has helped scale data work from workstations and laptops to compute clusters and GPUs using Dask. These Dask projects range from machine learning and ETL pipelines to demand forecasting and statistical modeling—for Barclays, Capital One, Harvard Medical School, Los Alamos National Labs, Novartis, USGS, Walmart, Grubhub, and more.
Coiled’s initial product will:
- Allow data scientists to distribute workloads between cloud and on-premise clusters without having to involve devops teams.
- Enable data teams to better share workflows.
- Meet security, monitoring and authentication needs of enterprise IT.