Modal raised $355 million in Series C funding at a $4.65 billion post-money valuation, after growing fivefold since September and surpassing $300 million in annualized revenue. General Catalyst and Redpoint led the round, with Menlo Ventures, Bain Capital Ventures, and Accel joining as new investors. Modal said all major existing investors also participated.
Modal positions its platform as a cloud built for AI workloads rather than traditional web applications or single-purpose GPU rental. The company supports elastic inference, dynamic agent runtimes, reinforcement learning, large-scale batch jobs, and isolated sandboxes for executing untrusted code. Modal said more than 1 billion sandboxes have launched on its platform, and sandboxes now drive more than one-third of revenue.
The company said it plans to expand low-latency inference, collapse the training and inference loop, and build out the compute layer for AI agents. Modal cited work on GPU snapshotting, global elastic inference, and scaling from zero to 1,000 GPUs in minutes or seconds without reservations by pooling capacity across hundreds of data centers.
• Modal said open-weight models from DeepSeek, Qwen, and others now give enterprises more practical paths to model ownership.
• The company said inference engines such as vLLM and SGLang have matured alongside open models.
• Modal’s Sandbox capability provides isolated environments for untrusted code and agent execution.
• Customers cited by Modal include DoorDash, Cognition, Decagon, Applied Compute, Physical Intelligence, Chai Discovery, and Suno.
| Profile: Modal | |
|---|---|
| Company | Modal |
| Focus | Cloud platform for AI workloads |
| Latest funding | $355 million Series C |
| Valuation | $4.65 billion post-money |
| Lead investors | General Catalyst and Redpoint |
| New investors | Menlo Ventures, Bain Capital Ventures, Accel |
| Revenue run-rate | More than $300 million in annualized revenue |
| Team footprint | 120+ employees across New York, San Francisco, and Stockholm |
| Core platform areas | Elastic compute, safe isolation, programmatic control, inference, reinforcement learning, batch jobs, sandboxes |
🌐 Analysis: Modal’s raise points to a broadening AI infrastructure market beyond GPU capacity alone. The company targets the operational layer where developers need elastic inference, training workflows, secure code execution, and agent runtimes tied together under one programmable platform.
