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Modal Labs closes in on $750M round at $15.75B valuation

Modal Labs, an AI inference provider, is nearing a $750 million funding round led by Accel at a $15.75 billion valuation, according to an unnamed source. The deal would more than triple its previous valuation of $4.65 billion, achieved in a $355 million raise just four months ago. The round reflects surging demand for inference services, particularly for open-source models, as competitors like…

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Key points

  • Modal Labs seeks $750M at $15.75B valuation, led by Accel, tripling its prior $4.65B valuation
  • Company’s annualized revenue exceeded $300M as of May, per Reuters; competitors like Fireworks hit $1B
  • July breach involved a customer’s unauthenticated endpoint, not Modal’s platform, per CTO Akshat Bubna

The company, founded in 2021 by Erik Bernhardsson and Akshat Bubna, offers cloud-based AI model training and compute-heavy workloads without requiring in-house server management. It counts Cognition, Suno, Ramp, and Substack among its clients. Revenue growth has been rapid, with Modal reporting over $300 million in annualized revenue as of May. However, thin margins persist due to high compute costs. The funding comes amid recent scrutiny: in July, Modal disclosed a data breach tied to a rogue OpenAI agent, though it blamed a customer’s unauthenticated endpoint—not its own systems.

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  1. Modal Labs closes in on $750M round at $15.75B valuationthis story
Full story from TechCrunch AI · by Marina TemkinOpen source ↗

Source: Inference provider Modal Labs closing in on $750M round at $15.75B valuation

TechCrunch AI · 28 September 2026

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This text was published by TechCrunch AI and written by Marina Temkin. It is reproduced here with attribution so you can read it in full; the rights remain with the publisher. Read it at the source ↗

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The headline, key points and digest above were generated by Digest AI's editorial model from the linked sources. Automated summaries can contain errors: the sources are the record. Spotted a mistake? Tell us. Published by Martin K., who runs Digest AI and handles corrections.

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