Thinking Machines Lab, founded by Mira Murati, is nearing a $5 billion funding round at a valuation reaching $40 billion, more than tripling its previous valuation despite fierce competition for talent.
Nearing the close of a $5 billion funding round at a $40 billion valuation
Behind the scenes of the investment negotiations and strategic partnership with Nvidia
Tinker and Inkling products and annual revenues surpassing $100 million
The drain of founding talent and recruitment of new software talent
An analytical look at the strategic and economic dimensions of the event
Frequently asked questions
Nearing the close of a $5 billion funding round at a $40 billion valuation
Thinking Machines Lab, the artificial intelligence research and development startup founded by former OpenAI Chief Technology Officer Mira Murati, is nearing the close of a massive new funding round as early as this week. The company is raising approximately $5 billion at a pre-money valuation of $40 billion, led by venture capital firm Accel, according to a report published by Business Insider citing multiple sources familiar with the discussions.
This $40 billion valuation would raise the company’s worth to more than triple the valuation recorded in its last announced round. The Business Insider report noted that the deal reflects investors’ continued willingness to place massive financial bets on leading-edge AI labs, even as fierce competition for engineering and research talent intensifies. A representative for Thinking Machines declined to comment, and Accel did not respond to requests for press comment.
Behind the scenes of the investment negotiations and strategic partnership with Nvidia
This anticipated deal follows months of continuous investment negotiations. On September 3, TechCrunch reported that Accel, an existing investor in the lab, was in talks to lead a $1 billion funding round at a valuation of at least $40 billion. Later that same day, The Information estimated the total size of the round to be between $5 billion and $6 billion, with Nvidia expected to contribute about half of that amount—roughly $2.5 billion, according to a summary published by Investing.com.
The two companies already share a close working relationship. In March, they announced a multi-year partnership under which Thinking Machines will deploy at least 1 gigawatt of Nvidia’s Vera Rubin computing systems, targeting the launch of the first phase of operations in early 2027, according to Yahoo Finance. However, the $40 billion valuation remains below an earlier target, as the company sought to raise funds at a $50 billion valuation late last year before dropping those talks, according to Business Insider.
Tinker and Inkling products and annual revenues surpassing $100 million
Thinking Machines raised a record $2 billion seed funding round last year before launching any commercial products to market. Its first software tool was the Tinker platform, which makes it easier for enterprises and developers to fine-tune and customize large language models, according to Business Insider. In July, the company launched Inkling, an open-weight artificial intelligence model.
The company generates its financial revenue by charging usage-based computing fees when customers adapt and modify models via the Tinker platform. According to TechCrunch, the company’s annualized recurring revenue rate has surpassed the $100 million mark. Despite this rapid growth, TechCrunch noted that at this revenue level, a $40 billion valuation represents an “exceptionally high revenue multiple.”
The drain of founding talent and recruitment of new software talent<n
The new funding liquidity coincides with the lab’s persistent efforts to retain its human capital. Thinking Machines has lost a number of founding members who moved to competing firms, most notably Barret Zoph, Luke Metz, and Andrew Tulloch.
Business Insider reported that about a third of the founding team had left the company by May, partly due to massive compensation packages and financial incentives offered by major competitors such as Meta and OpenAI. In contrast, the startup has successfully recruited prominent new talent to bolster its ranks, including competitive programming world champion Neil Wu.
An analytical look at the strategic and economic dimensions of the event
Thinking Machines Lab’s approach toward closing a $5 billion funding round at a $40 billion pre-money valuation highlights the open investment appetite among venture capital funds and major chip companies toward leading-edge AI labs. The success of the company founded by Mira Murati in more than tripling its valuation in a short period, while securing backing from Accel and an expected $2.5 billion contribution from processor giant Nvidia, underscores market confidence in the lab’s technical vision and the viability of its partnership to deploy 1 gigawatt of Vera Rubin computing systems in early 2027.
Nevertheless, the startup’s trajectory reveals the dual structural challenges facing modern AI companies. On one hand, the $40 billion valuation against an annual revenue run rate exceeding $100 million from the Tinker tool and Inkling model places significant pressure to achieve accelerated commercial growth that justifies this lofty financial multiple. On the other hand, the departure of about a third of the founding team under the weight of massive financial offers from firms like Meta and OpenAI shows that retaining rare research and software minds is no less important or difficult than securing billions of dollars and supercomputing chips.
Frequently asked questions
Question: What is the value of Thinking Machines Lab’s new funding round and its valuation?
Answer: The company is raising approximately $5 billion at a pre-money valuation of $40 billion led by Accel, with Nvidia expected to contribute about $2.5 billion according to reports.
Question: What is the nature of the partnership between Thinking Machines and Nvidia?
Answer: In March, the two companies entered into a multi-year partnership to deploy at least 1 gigawatt of Nvidia’s Vera Rubin computing systems, with initial operations slated to begin in early 2027.
Question: How does Thinking Machines generate revenue and what are its prominent products?
Answer: The company launched the Tinker tool for language model fine-tuning and the open-weight Inkling model, earning over $100 million in annual revenue from usage-based compute fees.
Question: What challenges has the company faced regarding human resources?
Answer: About a third of the founding team departed by last May, including Barret Zoph, Luke Metz, and Andrew Tulloch, as a result of massive financial offers from Meta and OpenAI, while the company has recruited new talent such as Neil Wu.
