Modal was founded in 2021 by Erik Bernhardsson (creator of Spotify’s music recommendation system) and Akshat Bubna in New York City. The platform provides a Python-first serverless computing environment optimized for AI and data-intensive workloads.
Modal raised over $46 million, including a $16 million Series A led by Redpoint Ventures. The company’s approach appeals to ML engineers who want GPU access and cloud scale without dealing with Docker, Kubernetes, or cloud provider complexity.
The platform’s key innovation is its programming model: developers write standard Python code with Modal decorators, and the platform handles containerization, scheduling, GPU provisioning, and scaling automatically. A function decorated with `@modal.function(gpu=”A100″)` runs on an A100 GPU in the cloud with zero infrastructure configuration.
Modal supports fast cold starts (containers spin up in seconds), efficient data passing between functions, and seamless integration with popular ML tools. Common use cases include model training, batch inference, data processing pipelines, and running scheduled jobs.
The platform has gained traction among AI startups and ML teams at larger companies who want to iterate quickly without a dedicated infrastructure team. Modal’s pricing is usage-based, and users only pay for compute time actually consumed. The company employs around 40 people and is known for its strong developer experience and documentation.