We started Modal with the goal to make it easier to iterate and ship applications for data, AI, and machine learning. In order to deliver the developer experience we wanted, we went deep and built our own infrastructure — including our own custom file system, container runtime, scheduler, container image builder, and much more.
Customers use Modal for a wide range of use cases, including Generative AI inference, LLM fine-tuning, computational biotech, and media processing. We're focused on developer experience at our core, letting companies ship value faster without having to think about infrastructure. In a few lines of code, we let you scale from zero to thousands of CPUs or GPUs. And since pricing is entirely usage-based, you only pay for the time your code is running.
Our team is based out of New York, Stockholm, and San Francisco. It includes creators of popular open-source projects (e.g., Seaborn and Luigi), academic researchers, international olympiad medalists, and experienced engineering and product leaders with decades of experience.
We've raised over $23M from some of the best investors and product leaders in the industry. Our investors include Redpoint Ventures , Amplify Partners , Lux Capital , Definition Capital , Essence , Creandum , and more.
Barry McCardel
Co-Founder & CEO, Hex
Elad Gil
Entrepreneur & Investor
Barr Moses
CEO, Monte Carlo Data
Tristan Handy
Founder & CEO, dbt
Neha Narkhede
Co-Founder & CTO, Confluent
Jordan Tigani
Founder & CEO, Motherduck
Arjun Narayan
Co-Founder, Materialize
Benn Stancil
Founder & CTO, Mode
New York City
584 Broadway, Floor 10
New York, NY 10012
Stockholm
Wallingatan 24, Floor 3
111 24 Stockholm, Sweden
San Francisco
1680 Mission St, Floor 4
San Francisco, CA 94103
Use Cases