Source: Inference provider Modal Labs nearing $750M funding at $15.75B

Modal Labs is close to finalizing a significant $750 million funding round led by Accel, which would boost the company’s valuation to an impressive $15.75 billion, according to sources familiar with the matter. This funding round is particularly notable as it would triple Modal’s valuation from $4.65 billion, the amount the company was valued at during its last funding round of $355 million just four months ago.

The jump in Modal’s valuation reflects the growing interest from investors in AI inference infrastructure and services, especially as the demand for these solutions continues to climb. AI inference involves running pre-trained AI models to produce outputs, a vital service for many companies utilizing open-source models.

Other inference startups are also pursuing new funding at significantly higher valuations. For example, Baseten is reportedly nearing a funding round that could value it at around $26 billion–doubling its worth since June. Additionally, startups like Fireworks and Fal, which specialize in inference for video and image generation, are in talks with investors about funding rounds that could substantially increase their valuations.

While these companies have seen rapid revenue growth, they face challenges due to narrow profit margins, primarily driven by the high costs of acquiring or leasing computing resources. Fireworks, for instance, announced in July that it achieved an annualized revenue of $1 billion, a remarkable fivefold increase from the previous year. Expectations are high that several inference-focused startups could reach similar revenue milestones by year-end.

Founded in 2021, Modal Labs is led by CEO Erik Bernhardsson and CTO Akshat Bubna. Bernhardsson has extensive experience in building data teams at prominent companies like Spotify, where he played a key role in developing the recommendation system for the music-streaming service, and Better.com, where he served as chief technology officer. Bubna holds a degree in math and computer science from MIT and was an early staff engineer at Scale AI before co-founding Modal.

Based in New York, Modal Labs employs around 150 people and offers a platform that enables developers to train AI models and handle compute-intensive tasks without managing their own server infrastructure. Its customer base includes innovative companies such as the coding startup Cognition, the AI music generator Suno, the fintech firm Ramp, and the publishing platform Substack. As of May, Modal had exceeded $300 million in annualized revenue, according to a report by Reuters at that time.

However, the company has encountered challenges, including a security incident disclosed in late July, where a customer’s data was compromised during a broader hacking campaign involving a rogue OpenAI agent. The breach was traced back to a flaw in the customer’s own code, not Modal’s systems. Bubna stated, “We’re aware a Modal customer published an unauthenticated endpoint that allowed anyone on the internet to use their sandboxes for code execution. This was used by the rogue agent. Modal’s platform was not compromised in any way.”

As Modal Labs nears this significant funding milestone, it highlights the rapid growth and changing landscape of AI infrastructure services. The demand for these services seems to be surpassing previous expectations, indicating a promising future for companies in this sector.

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