OpenAI Researcher Miles Wang Eyes $2B Valuation for AI Drug Discovery Startup

OpenAI Researcher Miles Wang Eyes $2B Valuation for AI Drug Discovery Startup

Miles Wang, a researcher at OpenAI whose work focuses on using artificial intelligence to accelerate scientific and biological discovery, is preparing to leave the company behind ChatGPT to launch his own startup dedicated to developing AI models for drug discovery. According to four individuals with knowledge of his plans, Wang is currently in discussions to raise approximately $200 million at a $2 billion valuation, with venture capital firm Lightspeed reportedly in talks to lead the funding round.

Several other OpenAI researchers are expected to join Wang at the new company, according to sources. However, the negotiations are still ongoing, the deal may not reach completion, and the terms could still change. Wang himself pushed back on the reported funding figures and the description of the company's focus, though he declined to provide corrected numbers or clarify what the startup will actually do. Lightspeed did not respond to a request for comment.

Targeting Drug Repurposing Through AI

The new startup is believed to be developing AI models designed to help find new therapeutic applications for existing drugs, as well as for compounds that previously failed in clinical trials, according to a couple of sources. This approach could offer a strategic advantage: identifying new uses for medications that have already received FDA approval can lead to a significantly faster path to revenue than developing entirely new drugs from scratch, since these medicines have already undergone safety testing.

A Surging Market for AI in Pharmaceuticals

The funding discussions surrounding Wang's venture reflect a broader wave of investor interest in applying artificial intelligence to achieve breakthroughs in the life sciences. The sector has seen a string of major deals in recent months.

On Tuesday, Chai Discovery, a startup founded roughly two years ago that builds AI models capable of predicting molecular interactions to identify potential new drugs, announced that it had raised $400 million at a $3.8 billion valuation. Chai Discovery's co-founder Josh Meier, like Wang, also spent time as a researcher at OpenAI before launching his own company.

Even larger sums have flowed to more established players. In May, Isomorphic Labs, a spinout from Google DeepMind that also develops AI models for drug discovery, raised $2.1 billion in a Series B funding round. These deals collectively highlight how venture capital is pouring into companies seeking to use machine learning to transform the traditionally slow, costly, and uncertain process of pharmaceutical development.

From Harvard to OpenAI to Founder

Wang joined OpenAI in 2024 after leaving Harvard University, where he had been pursuing a bachelor's degree in computer science. His decision to depart before completing his degree places him among a growing group of young founders whom investors have once again become comfortable backing without a finished college education.

During his tenure at OpenAI, Wang co-authored research papers that explored how AI models could be used to automate and accelerate scientific discovery — work that appears to directly inform his new entrepreneurial pursuit in the pharmaceutical space.

If Wang's funding round closes at the figures currently under discussion, his startup would launch with one of the largest initial capital pools for a new AI drug discovery company, entering a competitive but rapidly expanding field. The combination of substantial funding, experienced AI talent from OpenAI, and a focus on drug repurposing could position the venture as a notable player in the evolving intersection of artificial intelligence and medicine.

As AI continues to reshape industries from software to healthcare, the pharmaceutical sector stands out as one of the most promising — and most heavily funded — frontiers for the technology. What are your thoughts on AI's potential to transform drug discovery and development? Share this article with your network and let us know what you think.

Source: TechCrunch