- AI infrastructure momentum continues to accelerate in 2026, with Modal Labs reportedly in discussions to raise new funding at a $2.5 billion valuation, according to a February 11 report by TechCrunch. The company, which provides cloud based infrastructure for running AI models and compute intensive workloads, is said to be in talks with General Catalyst as a potential lead investor. The fundraising discussions highlight strong investor appetite for inference focused startups as enterprises increasingly move AI systems from experimentation into full scale production environments.
Inference, the process of running trained AI models in real world applications, has become a critical layer of the AI stack. As organizations deploy chatbots, copilots, automation systems, and real time analytics tools, demand for scalable and cost efficient inference infrastructure continues to grow. Modal Labs positions itself as a developer friendly platform that removes the complexity of managing servers while enabling high performance compute execution.
The company was founded by Erik Bernhardsson and Daniel Gross, bringing deep experience in engineering and startup building to the rapidly expanding AI infrastructure space. Coverage of the funding talks was also referenced by CodedCurrency and LearnPeak Media, signaling widespread industry interest. If completed, the deal would reinforce the growing value of companies powering the operational backbone of artificial intelligence.
AI infrastructure momentum continues to accelerate in 2026, with Modal Labs reportedly in discussions to raise new funding at a $2.5 billion valuation, according to a February 11 report by TechCrunch. The company, which provides cloud based infrastructure for running AI models and compute intensive workloads, is said to be in talks with General Catalyst as a potential lead investor. The fundraising discussions highlight strong investor appetite for inference focused startups as enterprises increasingly move AI systems from experimentation into full scale production environments.
Inference, the process of running trained AI models in real world applications, has become a critical layer of the AI stack. As organizations deploy chatbots, copilots, automation systems, and real time analytics tools, demand for scalable and cost efficient inference infrastructure continues to grow. Modal Labs positions itself as a developer friendly platform that removes the complexity of managing servers while enabling high performance compute execution.
The company was founded by Erik Bernhardsson and Daniel Gross, bringing deep experience in engineering and startup building to the rapidly expanding AI infrastructure space. Coverage of the funding talks was also referenced by CodedCurrency and LearnPeak Media, signaling widespread industry interest. If completed, the deal would reinforce the growing value of companies powering the operational backbone of artificial intelligence.
