Mira Murati’s startup, Thinking Machines launches Inkling, signalling a strategic shift towards open weight AI for businesses seeking greater control and customisation.
Nearly a year after emerging from stealth with one of the most closely watched founding teams in artificial intelligence, Thinking Machines has introduced Inkling, its first open weight foundation model. The launch places the startup squarely in the race to shape the next phase of enterprise AI, where flexibility and ownership are becoming as important as raw computing power.
Founded by former OpenAI Chief Technology Officer Mira Murati, Thinking Machines is taking a different route from many of the industry’s largest players. Instead of locking customers into a closed ecosystem, the company is making the model’s weights available, enabling organisations to deploy, adapt and fine tune the technology within their own infrastructure.
That approach reflects a growing shift across the enterprise AI market. As businesses move beyond experimentation, many are looking for models that can be customised for internal knowledge, industry regulations and proprietary workflows without depending entirely on third party cloud providers. Open weight models are increasingly viewed as a practical way to balance innovation with governance, security and cost efficiency.
Inkling has been designed with large scale enterprise deployments in mind. The model supports advanced reasoning, coding and AI agent capabilities while allowing developers to build domain specific applications tailored to their business requirements. Rather than competing solely on benchmark scores, Thinking Machines is positioning the model as a foundation that organisations can shape to suit their own operational needs.
The release also intensifies competition in the rapidly evolving open AI ecosystem. Over the past year, open models from Chinese developers have demonstrated that high performance AI can be delivered at significantly lower costs, encouraging enterprises to reconsider their dependence on proprietary platforms. Inkling represents a renewed effort from a US based startup to strengthen competition in this space while appealing to organisations that prioritise transparency and control.
For Thinking Machines, the launch marks an important milestone. Despite attracting billions of dollars in funding and assembling a team of prominent AI researchers, the company had until now remained largely focused on research and platform development. Inkling transforms that promise into a commercial offering and provides the startup with its first opportunity to prove its capabilities in an increasingly crowded market.
The debut also highlights how the AI conversation is evolving. The industry’s focus is gradually shifting from building the biggest model to creating systems that businesses can confidently deploy, customise and govern. As enterprises seek AI solutions aligned with their own infrastructure and compliance requirements, open weight models are expected to play a much larger role in the next wave of adoption.
With Inkling now available, Thinking Machines is signalling that the future of enterprise AI may be defined not just by intelligence, but by how much control organisations have over the technology they use.
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