Modal

Modal provides cloud infrastructure for teams that develop, train and serve AI applications. Its platform covers inference endpoints, fine-tuning and multi-node training, Sandboxes for running untrusted or agent-generated code, and Functions for scaling Python code across CPUs and GPUs. The company states it built its own filesystem, container runtime, scheduler and image builder.

Customers are AI and engineering teams that deploy models and compute workloads. Pricing is usage-based: GPUs and CPUs are billed per second, with Starter and Team plans carrying a monthly base fee plus compute and an Enterprise tier priced on request. The website names DoorDash as a customer.

The company website lists offices in New York, Stockholm, San Francisco and London and states the company is headquartered in the US. It reports a $750M Series D led by Accel and says it has raised over $1.2B in total. Its open roles span engineering (members of technical staff, systems and storage), go-to-market, and general and administrative functions.

Product: Serverless cloud platform for running AI inference, training, sandboxes and Python functions on on-demand GPUs and CPUs.