Thinking Machines Lab Targets $2 Billion Seed Round

Apr 11, 2025
Thinking Machines Lab, led by former OpenAI CTO Mira Murati, is reportedly seeking to raise $2 billion in a seed round, potentially valuing the company at $10 billion.
Thinking Machines Lab Targets $2 Billion Seed Round

Mira Murati, former CTO of OpenAI, is reportedly aiming to raise $2 billion in a seed round for her new venture, Thinking Machines Lab. This ambitious fundraising effort could value the company at $10 billion, according to Business Insider. The startup, which emerged from stealth earlier this year, is focused on developing multimodal AI models with advanced reasoning capabilities.

Thinking Machines Lab has attracted several high-profile AI researchers, including former OpenAI executives. Notably, John Schulman, a co-founder of OpenAI, serves as the chief scientist, while Barret Zoph, a co-creator of ChatGPT, is the CTO. The company also recently appointed Bob McGrew and Alec Radford as advisors.

The startup aims to create AI systems that are more customizable and generally capable than existing models. It plans to incorporate multimodal features and has expressed intentions to open-source some of its technologies, particularly those related to AI safety. The $2 billion funding, if secured, would significantly aid in acquiring the necessary infrastructure to train these advanced AI models.

We hope you enjoyed this article

Consider subscribing to one of our newsletters like AI Funding Brief or Daily AI Brief.

Also, consider following us on social media:

Free newsletter

AI Funding Brief

Whitepaper

Tensordyne Napier: What If One Rack Could Do the Work of Nine?

Tensordyne

This Tensordyne whitepaper presents Napier, an inference-focused AI processor and rack-scale system based on the company’s TDN Math logarithmic number system. It examines infrastructure requirements for large mixture-of-experts and agentic models, compares major inference architecture approaches, and details the TDN AIP processor, TDN72 pod, TDN Link fabric, and Napier Ultra configuration. The paper reports simulation-based performance, cost, and accuracy-validation results, including Tensordyne’s projected comparison of one Napier rack with a nine-rack Nvidia Rubin plus Groq deployment; the chip is reported as taped out and in fabrication.

Read more
Free, six days a week

Daily AI Brief: the AI news that matters, in your inbox.