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Technology

OpenAI Invests $250M in Sam Altman’s Merge Labs BCI Startup

by Rachel Kim – Technology Editor January 20, 2026
written by Rachel Kim – Technology Editor

Just when you thought the circular deals couldn’t get any more circular,OpenAI has invested in CEO Sam Altman’s brain computer interface startup Merge Labs. 

Merge Labs, which defines itself as a “research lab” dedicated to “bridging biological and artificial intelligence to maximize human ability,” came out of stealth on Thursday with an undisclosed seed round. A source familiar with the matter confirmed previous reports that OpenAI wrote the largest single check in Merge Labs’s $250 million seed round at a $850 million valuation.

“Our individual experience of the world arises from billions of active neurons,” reads a statement from Merge Labs.“If we can interface with these neurons at scale, we could restore lost abilities, support healthier brain states, deepen our connection with each other, and expand what we can imagine and create alongside advanced AI.”

merge Labs said it intends to reach these feats non-invasively by developing “entirely new technologies that connect with neurons using molecules rather of electrodes” to “transit and receive information using deep-reaching modalities like ultrasound.” 

The move deepens Altman’s competition with Elon Musk, whose own startup Neuralink is also developing computer interface chips that allow people who suffer from severe paralysis to control devices with their thoughts. Neuralink currently requires invasive surgery for implantation,where a surgical robot removes a small piece of skull and inserts ultra-fine electrode threads into the brain to read neural signals. The company last raised a $650 million Series E at a $9 billion validation in June 2025. 

While there are undoubtedly medical use cases for BCIs,Merge Labs seems more focused on using the technology to fulfill a Silicon Valley fantasy of combining human biology with AI to give us superhuman capabilities. 

“Brain computer interfaces (BCIs) are an vital new frontier,” OpenAI wrote in a blog post. “They open new ways to communicate, learn, and interact with technology. BCIs will create a natural, human-centered way for anyone to seamlessly interact with AI. This is why OpenAI is participating in Merge Labs’ seed round.” 

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Aside from Altman, other co-founders include Alex Blania and Sandro Herbig, respectively CEO and product and engineering lead at Tools for Humanity, another Altman-backed company (and creator of the eye-scanning World orbs); Tyson aflalo and Sumner Norman, co-founders of implantable neural tech company Forest Neurotech; and Mikhail Shapiro, a researcher at Caltech.

As part of the deal, OpenAI will work with Merge Labs on scientific foundation models and other frontier tools to “accelerate progress.” In its blog post, OpenAI noted that AI will not only help accelerate R&D in bioengineering, neuroscience, and device engineering, but that the interfaces will also benefit from AI operating systems that “can interpret intent, adapt to individuals, and operate reliably with limited and noisy signals.”

Simply put, Merge Labs could function as a remote control for OpenAI’s software. That leads into the circular nature of the deal: if Merge Labs succeeds, it could drive more users to OpenAI, which then justifies OpenAI’s investment into the company. It also increases the value of a startup Altman owns using resources from a company he runs.

OpenAI is also working with Jony Ive’s startup io, which it acquired last year, to produce a piece of AI hardware that doesn’t rely on a screen.Recent unconfirmed leaks suggest the device might be an earbud. 

OpenAI primarily invests through the OpenAI Startup Fund, which has invested in several other startups connected to Altman, including Red Queen Bio, rain AI, and Harvey. OpenAI has also entered into commercial agreements with startups Altman personally owns or chairs, including nuclear fusion startup Helion Energy and nuclear fission company Oklo.

Altman has been dreaming about the so-called “Merge” – the idea that humans and machines will merge – as at least 2017 when he published a blog post guessing it would happen somewhere between 2025 and 2075.He also speculated that the merge could take many forms, including plugging electrons into our brains or becoming “really close friends with a chatbot.”

He said a merge is our “best-case scenario” for humanity surviving against superintelligence AI, which he describes as a separate species that’s in conflict with humans. 

“Although the merge has already begun, it’s going to get a lot weirder,” Altman wrote. “We will be the first species ever to design our own descendants. My guess is that we can either be the biological bootloader for digital intelligence and then fade into an evolutionary tree branch,or we can figure out what a triumphant merge looks like.”

TechCrunch has reached out to OpenAI and Merge Labs for more information.

January 20, 2026 0 comments
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Business

Brain‑Computer Interface Lets Paralyzed Patient Drive Wheelchair & Robotic Dog in China

by Priya Shah – Business Editor December 21, 2025
written by Priya Shah – Business Editor

.

Chinese Academy of Sciences is now at the center of a structural shift involving neuro‑assistive technology. The immediate implication is an acceleration‍ of china’s domestic high‑tech⁣ ecosystem ​and a widening gap in global capability for brain‑computer interfaces.

the⁣ Strategic Context

China has pursued⁢ a coordinated ‍strategy to dominate ⁢emerging frontier technologies, ⁣integrating state funding, university research, and industry partners under its “Made ⁤in China 2025” ⁤and subsequent “New generation AI” ‍plans. Neurotechnology sits at‍ the ​intersection of AI, semiconductor manufacturing, and medical devices-sectors where ‌China seeks strategic self‑sufficiency and⁤ export potential. Internationally, the race for brain‑computer interfaces (BCIs) ‍is ​framed by broader competition over AI‑driven human augmentation, ⁣with the United States, ⁤European Union, and Japan⁢ investing⁢ heavily in‌ parallel programs.‌ The structural forces at play include: (1) ⁤the global push ⁢for AI‑enabled health solutions, (2) the geopolitical‍ premium placed on ⁣technologies that can enhance human performance⁤ and resilience, and (3) the emerging regulatory⁣ fragmentation as nations grapple with safety, ​data privacy, and dual‑use ‍concerns.

Core ​Analysis: Incentives & Constraints

Source Signals: The report confirms that a Chinese ⁤academy of Sciences team conducted a clinical⁣ trial in which a quadriplegic ⁤patient ‍used‌ a wireless, high‑throughput BCI to control a smart wheelchair⁢ and ​a robotic ‌dog in real‑world settings. The‌ system​ achieved sub‑100 ms ‍response⁤ times and a >15 %⁣ performance boost via ‌combined deconvolution strategies. the trial followed a June deployment of the same system, with weeks of training‍ leading to reliable cursor and ⁢tablet control.

WTN‌ Interpretation: The timing aligns with Beijing’s policy push to transition from laboratory ⁣prototypes to market‑ready assistive‌ devices, leveraging state‑directed capital to close the ⁤”last‑mile” gap in commercialization. By demonstrating real‑world mobility, the Academy strengthens ​its claim to leadership in BCI⁣ standards, possibly influencing future ⁢international norm‑setting bodies. Constraints include the need for regulatory approval ‌for widespread medical‍ use, the technical challenge of scaling wireless BCI hardware, and‍ the risk of export controls ‌limiting component​ supply chains.Moreover,the dual‑use nature of rapid neural‍ interfacing invites scrutiny from security agencies,which ⁣could impose ⁤additional oversight⁣ that slows deployment.

WTN Strategic‍ Insight

​ ‍”When a nation moves a neuro‑interface from the lab to the street, ⁢it signals the birth of a new⁢ strategic domain where health, AI, and security converge.”
‌

Future Outlook: Scenario​ Paths & Key Indicators

Baseline ​path: If China continues to fund⁤ BCI research, secures domestic semiconductor supply, ‌and obtains regulatory clearance for assistive devices, we can​ expect incremental roll‑out ⁣of BCI‑enabled mobility solutions in hospitals and rehabilitation centers, followed by limited commercial offerings for ⁤high‑income ​consumers. This trajectory reinforces China’s position in emerging standards bodies and creates ⁣export opportunities for BCI hardware and software platforms.

Risk Path: If heightened security concerns ​trigger stricter export controls on high‑frequency wireless components or if domestic regulatory hurdles delay medical approvals, the rollout could ​stall. In that scenario, Chinese firms may pivot to non‑medical applications (e.g., gaming, industrial control) to ​sustain investment, while foreign ​competitors could capture the medical‑assistive market share.

  • Indicator 1: Proclamation of the next round of government funding for ‍neurotechnology​ in the upcoming State Council budget review (expected Q1 2026).
  • Indicator 2: Publication of China’s draft regulations on neural data privacy and medical device ‍certification (scheduled ​for public comment in the next 3‑4 months).
December 21, 2025 0 comments
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