❯ Thinking Machines Lab advances a proposed $5 billion round led by Accel at a $40 billion pre-money valuation
A round moving toward closingThinking Machines Lab is advancing a roughly $5 billion financing, with Accel expected to lead at a $40 billion pre-money valuation, according to reporting by Business Insider. News on November 6 suggested it could close in the following days, but the materials reviewed for this issue do not confirm completion. Pre-money valuation refers to the company’s value before the new investment enters.
From seed capital to a productFormer OpenAI chief technology officer Mira Murati founded the company in 2025. It raised a $2 billion seed round that July at a $12 billion valuation, then introduced Tinker, which provides developers with model training, fine-tuning and inference services. Customers can adapt models using their own data and call them through the platform. The commercial offering combines model capability with infrastructure that handles training work.
Another model arrives this weekOn November 5, the company introduced Inkling 2 Small, supporting image inputs and adjustable reasoning effort, initially through Tinker for experimentation, fine-tuning and generation. It plans to release the full weights under an Apache 2.0 license the following week, after external safety testing. The weights release is a future step, while the platform services already offer customers a way to use the product.
Capital ahead of commercial returnsThe proposed pre-money valuation is substantially higher than the seed valuation, as the business moves from assembling a research team to regularly releasing models and operating a platform. Specific uses of the new funds have not been disclosed, nor have funding arrangements connecting this round with existing compute partnerships. Completion would give the company greater scope to expand research and services; its commercial task remains attracting developers who keep using and paying for them.
▮ SIGNALBy pairing open models with a paid training platform, Thinking Machines can let customers move their models elsewhere while competing to keep their business through easier training and operation.