Modal Labs, a startup providing AI inference infrastructure, is close to securing a $750 million funding round led by Accel, which would value the company at $15.75 billion. This marks a significant jump from its $4.65 billion valuation just four months earlier when it raised $355 million. Modal Labs enables developers to train AI models and run intensive compute workloads without managing physical servers, serving clients like Cognition, Suno, Ramp, and Substack from its New York base.

The surge in Modal’s valuation reflects the rapidly growing demand for AI inference services, especially from users leveraging open-source AI models. Other startups in the sector, such as Baseten, Fireworks, and Fal, are also in discussions to raise funds at markedly higher valuations. Fireworks recently announced a remarkable $1 billion in annualized revenue, driving a wave of similar growth expectations across inference companies despite thin margins due to the high costs of compute resources.

Modal Labs was founded in 2021 by Erik Bernhardsson, a seasoned data engineer known for his work at Spotify and Better.com, and CTO Akshat Bubna, who brings experience from MIT and Scale AI. The company has quickly become a notable player in AI infrastructure, helping developers streamline complex computing tasks associated with AI model deployment. It reportedly reached over $300 million in annualized revenue earlier this year.

The funding talks come shortly after Modal was involved in a high-profile security incident in July linked to a hacking campaign targeting multiple AI companies. Despite this, Modal clarified that the breach originated from a flaw in a customer’s code rather than its own systems. As the AI inference market continues to expand rapidly, Modal’s latest financing round underscores the escalating investor interest and the critical role infrastructure providers play in supporting AI innovation.