OpenAI’s investment arm and Peter Thiel’s Founders Fund have invested in Coherence Neuro, a startup building a brain implant to find and treat cancer.
In this article
The deal is part of a $45 million seed round. It shows Big Tech’s growing interest in brain data. Ben Woodington, Coherence’s CEO and co-founder, says there is “growing synergy” between large AI labs and companies building devices to decode the brain, known as brain-computer interfaces.
“The idea of capturing data to train better models and use it to optimize treatments is going to be super important,” he says. “The AI companies seem to be aligned with this thesis as well—that this novel data source is going to be valuable.”
Woodington says AI is a “perfect use case” for brain-computer interfaces because developers of these devices generate massive datasets that are too large for humans to analyse themselves. AI models can help read raw neural data and link it to actions, such as moving a computer cursor or producing synthesised speech.
Context
In January, OpenAI announced that it was directly investing in a new brain-computer interface company, Merge Labs, co-founded by its billionaire CEO Sam Altman. Merge Labs came out of stealth with $252 million in initial funding to pursue ultrasound technology that can decode information from the brain. At the time, OpenAI said it was funding Merge Labs because of a belief that brain-computer interfaces “will create a natural, human-centered way for anyone to seamlessly interact with AI.” (The name Merge Labs comes from the idea popular in Silicon Valley that humans will eventually merge with machine intelligence.)
Thiel’s VC firm has also backed Elon Musk’s Neuralink as well as CTRL-labs, the creator of a wristband that translates neural signals from arm and hand movements that was acquired by Facebook in 2019.
The technology
Rather than focusing on restoring function for paralysed individuals, San Francisco-based Coherence is developing AI models to decode subtle electrical signals associated with brain tumors. The company says it already knows how to detect these signals in animals to determine whether cancer is growing, shrinking, or recurring. The team is working to translate these findings for human research and, eventually, clinical trials.
This summer, Coherence briefly tested the recording ability of its implant in the brains of three people who were already undergoing brain tumor removal surgery at the Royal Melbourne Hospital in Australia. The implant was in place for roughly 30 minutes before being removed, providing an initial safety check. Next, Coherence is testing both the recording and stimulation capabilities of the device in an additional seven patients.
The implant is also designed to emit mild electrical stimulation to halt the growth of tumors. The idea is that over time, the device would learn to detect signals associated with cancer and provide real-time treatment. Coherence plans to use the new funding to launch a clinical trial to implant the device long-term in patients with glioblastoma, an aggressive type of brain cancer. The company also aims to develop implants to treat cancers in other parts of the body.
What it means
For patients, the change is a shift from waiting for a scan to catching a tumor’s return. The device sits in the brain, watches for electrical signs of growth, and sends a low-level shock to stop it. This could mean fewer repeat surgeries and earlier detection of cancer coming back.
“Coherence’s approach to developing a cancer therapy capable of improving from data is incredibly innovative,” Ian Hathaway, partner at the OpenAI Startup Fund, says in a statement. “We are proud to be backing them on this exciting mission.”
Woodington says that OpenAI will not have access to its data. “There’s nothing in the contracts or arrangements that would mean that we would share, or they would have access to, any brain data or other health data that we’re generating,” he says.
That is seemingly different from OpenAI’s relationship with Merge Labs. In its January announcement, OpenAI said it would “collaborate with Merge Labs on scientific foundation models and other frontier tools to accelerate progress.”




