ModalAnnouncement
Modal's Series C: Raising $355M at a $4.65B valuation
Summary
Modal announced a $355 million Series C at a $4.65 billion post-money valuation, led by General Catalyst and Redpoint, with participation from Menlo, Bain Capital Ventures, Accel, and all existing investors. The company grew fivefold since September and surpassed $300 million in annualized revenue. Modal is a cloud platform built for AI workloads, offering elastic inference, dynamic agent runtimes, and batch processing. Its Sandboxes feature, which provides isolated environments for untrusted code, has launched over 1 billion instances and accounts for more than a third of revenue. Modal plans to invest in low-latency inference, reinforcement learning infrastructure, and expanded agent computing capabilities.
Takeaways
Modal raised $355 million at a $4.65 billion valuation, led by General Catalyst and Redpoint, after growing fivefold since September and surpassing $300 million in annualized revenue.
Modal’s Sandboxes feature, launched for running untrusted AI-generated code, has surpassed 1 billion launches and now drives more than a third of the company’s revenue.
Modal owns its full compute and storage stack, achieving capabilities such as 100x cold-start improvement via GPU snapshotting and scaling from 0 to 1,000 GPUs in minutes without reservations.
FAQ
How much has Modal grown and what is its valuation?
Modal raised $355 million in Series C funding at a $4.65 billion post-money valuation. The company has grown fivefold since September and has surpassed $300 million in annualized revenue.
What is Modal's Sandbox feature and how is it used?
Sandboxes provide isolated environments for running untrusted AI-generated code. They are used for reinforcement learning, coding agents, and agentic development. Over 1 billion sandboxes have been launched on Modal, and the feature now drives more than a third of Modal's revenue.
What technical capabilities does Modal's own infrastructure enable?
Because Modal built its own storage and compute layer, it achieves outcomes such as a 100x improvement in cold starts with GPU snapshotting, elastic low-latency inference globally, and scaling from 0 to 1,000 GPUs in minutes by pooling capacity across hundreds of data centers worldwide.
Source and freshness
- Source
- modal.com
- Published
- Added to Yomu
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