What Thinking Machines Lab does
Thinking Machines Lab is an AI research and product company focused on (1) frontier-capable models that can be customized for specific users and domains, and (2) human–AI collaboration via “interaction models” that are designed to handle live, multimodal back-and-forth rather than relying on slow, turn-based prompting.
The company’s product strategy centers on a customization and fine-tuning workflow called Tinker, which is designed to let developers and research teams train/fine-tune models while handling distributed training complexity. Thinking Machines’ current open-weights model release is Inkling, a multimodal Mixture-of-Experts transformer (975B total / 41B active) with a long context window and “controllable thinking effort,” meant to serve as a flexible base for further fine-tuning on Tinker.
In parallel, Thinking Machines is building interaction-model research as a long-term bet on scalable human participation: the goal is to make the model itself a native collaborator in real time across modalities, with human knowledge and judgment continuously influencing the system.
Business model (as evidenced by public materials): Thinking Machines emphasizes distribution of model weights and developer-facing tooling for customization (Tinker, including a developer console for interacting with models). It also pursues infrastructure partnerships to support frontier training at scale, including a long-term gigawatt-scale partnership with NVIDIA announced in March 2026.