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AI Startup Thinking Machines Aims to Quadruple Valuation to $60 Billion | PYMNTS.com
By completing this form, you agree to receive marketing communications from PYMNTS and to the sharing of your information with our sponsor, if applicable, in accordance with our Privacy Policy and Terms and Conditions. Bloomberg reported Thursday (Nov. 13) that unnamed sources said that the talks are in their early stages and that the valuation could be $50 billion, $55 billion or $60 billion. Those figures would more than quadruple Thinking Machines' $12 billion valuation from July, when it raised $2 billion, according to the report. The deal has not been finalized, and the terms could change, per the report. Thinking Machines did not immediately reply to PYMNTS' request for comment. Murati announced in February that she and a team of scientists, engineers and builders had started Thinking Machines Lab. In a Feb. 18 post on X, Murati said the company would help people adapt AI systems to meet their specific needs, develop foundations to build more capable AI systems, and foster a culture of open science aimed at helping the whole field understand and improve AI systems. "Our goal is simple, advance AI by making it broadly useful and understandable through solid foundations, open science and practical applications," Murati wrote in the post. When Thinking Machines raised $2 billion in July, the company said it would use the funding to support its mission of building "multimodal" AI. "We're excited that in the next couple months we'll be able to share our first product, which will include a significant open source component and be useful for researchers and startups developing custom models," Murati wrote in a July 15 post on X. Thinking Machines released its first product, Tinker, in October. The company said Tinker is a training application programming interface (API) that gives organizations full control over model training and fine-tuning while Thinking Machines manages the underlying infrastructure. Before founding Thinking Machines, Murati spent 6.5 years at OpenAI, most recently as the company's chief technology officer. She served as OpenAI's interim CEO for a time in November 2023, when co-founder and CEO Sam Altman was briefly ousted by the company's board. Murati announced her departure from OpenAI in September 2024.
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Thinking Machines Lab in talks for funding at $50 billion valuation, Bloomberg reports By Investing.com
Investing.com -- AI startup Thinking Machines Lab is in early discussions to raise a new funding round that would value the company at approximately $50 billion, according to Bloomberg, citing people familiar with the matter. The potential valuation would represent more than a fourfold increase from the company's July valuation, elevating the startup to the ranks of the most valuable private companies less than a year after its launch. The deal terms remain under negotiation and could change, said the sources, who requested anonymity to discuss private matters. While multiple sources indicated the target valuation is around $50 billion, others suggested it could reach $55 billion or $60 billion. Thinking Machines Lab was founded by Mira Murati, former chief technology officer at OpenAI, and launched in February 2025. The company focuses on building AI models and products designed to enhance "human-AI collaboration" across various work domains. Murati recruited dozens of employees from OpenAI, the creator of ChatGPT, to join her venture. The startup has already released its first product, Tinker, which allows users to more easily customize or "fine-tune" large language models. Research groups at Princeton and Stanford universities have been using Tinker, which has received positive feedback from early testers in the AI research community. The company also has secured paying business customers for the product, people familiar with the situation told Bloomberg. This article was generated with the support of AI and reviewed by an editor. For more information see our T&C.
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Former OpenAI CTO Mira Murati's AI startup Thinking Machines Lab is in early talks for a funding round that could quadruple its valuation to $50-60 billion, less than a year after launch. The company has already released its first product, Tinker, an API for model training and fine-tuning.
Thinking Machines Lab, the artificial intelligence startup founded by former OpenAI chief technology officer Mira Murati, is in early discussions for a new funding round that could value the company at $50-60 billion
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. This potential valuation represents more than a fourfold increase from the company's $12 billion valuation achieved in July 2024, when it raised $2 billion in funding1
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Source: PYMNTS
According to Bloomberg sources familiar with the matter, the talks remain in their early stages and the final terms could change. While multiple sources indicated the target valuation is around $50 billion, others suggested it could reach as high as $55 billion or $60 billion
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.Mira Murati announced the formation of Thinking Machines Lab in February 2024, bringing together a team of scientists, engineers and builders focused on advancing AI development
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. Before founding the company, Murati spent 6.5 years at OpenAI, most recently serving as the company's chief technology officer and briefly as interim CEO during Sam Altman's temporary ouster in November 20231
.The startup has successfully recruited dozens of employees from OpenAI, the creator of ChatGPT, to join Murati's new venture
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. In her February announcement on X, Murati outlined the company's mission to help people adapt AI systems to meet specific needs, develop foundations for more capable AI systems, and foster open science to improve understanding across the field1
.Related Stories
Thinking Machines released its first product, Tinker, in October 2024. The platform serves as a training application programming interface (API) that provides organizations with full control over model training and fine-tuning while the company manages the underlying infrastructure
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. The product is designed to make it easier for users to customize or fine-tune large language models for specific applications2
.Early market reception has been positive, with research groups at prestigious institutions including Princeton and Stanford universities actively using Tinker. The platform has received favorable feedback from early testers in the AI research community, and the company has already secured paying business customers for the product
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