Google has completed a talent-focused deal involving San Francisco artificial intelligence startup Mechanize Inc., bringing the company’s co-founder and a significant number of its former employees into the technology giant, according to public professional profiles.
Tamay Besiroglu, who co-founded Mechanize and previously served as its chief executive, has joined Google’s AI research division, DeepMind, where he now works as a research scientist, according to his LinkedIn profile.
Besiroglu is not alone. More than a dozen former Mechanize employees have also moved to Google, LinkedIn profiles show. Many are now involved in the company’s “midtraining” efforts, an important stage in the development and refinement of advanced AI models and chatbots.
Google and Besiroglu declined to comment on the deal or the employees’ moves.
The completed arrangement follows earlier reports that Google had been negotiating a deal worth more than $1.5 billion for Mechanize’s technology and talent. Business Insider previously reported on the talks, although the final financial terms of the agreement have not been disclosed.
Mechanize’s former chief of staff, Guive Assadi, now identifies himself as the startup’s chief executive on LinkedIn, suggesting that the company’s leadership structure has changed following the talent transaction.
The deal highlights Google’s increasingly aggressive efforts to strengthen its position in the rapidly developing AI industry. The company has faced mounting pressure to produce AI models capable of competing with leading systems from rivals, while also seeking to attract researchers and engineers with expertise in some of the most technically demanding areas of artificial intelligence.
Rather than pursuing traditional acquisitions in every case, Google has increasingly used talent-focused arrangements to bring in experienced AI teams. Such deals can be structured differently from conventional corporate acquisitions and may face fewer of the regulatory concerns associated with buying an entire company.
Google used a similar strategy last year when it brought in key personnel from AI coding startup Windsurf. Former Windsurf chief executive Varun Mohan subsequently took a leadership role at Google, where he heads the company’s agentic coding program, Antigravity.
Mechanize is particularly relevant to Google’s AI ambitions because its technology is designed to help AI systems improve their ability to perform coding tasks. Coding has emerged as one of the most important and commercially valuable capabilities for generative AI systems, as technology companies race to build models that can write, debug and modify software with increasing autonomy.
For Google, strengthening that capability is especially significant as the company competes to establish its AI models as serious alternatives to systems developed by other leading technology companies.
Mechanize had attracted considerable investor interest before the talent deal. Earlier this year, the company announced that it had raised $9.1 million in funding at a valuation of approximately $500 million.
Besiroglu also brought a history of work in AI evaluation to Mechanize. Before co-founding the startup, he was a co-founder of Epoch AI, an organization focused on measuring and studying the capabilities and development of artificial intelligence models.
The movement of Mechanize’s team to Google underscores the growing importance of specialized AI talent as the industry enters a more competitive phase. For major technology companies, acquiring experienced researchers and engineers can be as strategically important as acquiring the underlying technology itself.
While the financial details of Google’s agreement with Mechanize remain private, the scale of the reported talks and the number of employees who have moved to Google illustrate the premium being placed on expertise in AI model development—particularly in areas such as coding and model training.
For Mechanize, the deal marks a major transition for a startup that had only recently secured a $500 million valuation. For Google, it represents another move to strengthen its AI workforce and technology as competition over the next generation of models intensifies.