Merge Between Humans and Artificial Intelligence: OpenAI Invests in Merge Labs
- Marc Griffith

- Jan 17
- 4 min read

The landscape of brain-computer interfaces (BCI) is in a phase of intense attention and investment. OpenAI has chosen Merge Labs, a startup led by Sam Altman, to advance a vision of fusion between biological capabilities and artificial intelligence systems. Merge Labs has announced a seed round of $250 million, with a post-money valuation estimated around $850 million. Sources close to the operation indicate that OpenAI would have signed the round's largest funding, marking a breakthrough in developing a narrative of coevolution between humans and AI.
Investment and Prospects for Merge Labs
Merge Labs presents itself as a research lab focused on linking biological and artificial intelligence, with the aim of maximizing human capabilities beyond the boundaries of traditional applications. The company intends to explore non-invasive brain-computer interfaces, aiming for higher resolution and direct communication between neurons and AI models, avoiding complex surgeries. Unlike some implantable approaches, their vision envisions non-invasive solutions that could revolutionize how we interact with digital systems.
According to reports, Merge Labs aims to develop a platform that integrates neural signals with AI, with the idea of offering a kind of “neural remote control” for OpenAI's models. The landscape is particularly favorable: OpenAI is seeking new ways to integrate human-machine interaction that amplify cognitive and creative abilities, especially in R&D and neuroscience domains, where collaboration between advanced hardware and AI software can generate new applications and use cases.
Non-Invasive BCI: A New Technological Landscape
Technologically, Merge Labs aims to differentiate itself by proposing non-invasive brain-computer interfaces capable of communicating with neurons without implants. The company describes the use of innovative approaches such as the use of molecules and ultrasound to transmit neural signals, rather than relying on implantable electrodes. If feasible, this approach could offer greater safety, reduced surgical risks, and broader scalability compared to invasive solutions. The goal is to map and interpret human intent more reliably, opening new possibilities for interaction with advanced AI applications.
In this scenario, the road ahead is complex: overcoming the limits of resolution, safety, and reliability of neural interfaces is a significant technological and regulatory challenge. Merge Labs' narrative also confronts competitors such as Neuralink, Elon Musk's startup aiming at implantable devices to assist people with paralysis or disabilities. Neuralink has raised substantial investments and has surpassed a valuation of several tens of billions of dollars in recent rounds, but the path to non-invasive solutions remains crucial for broad adoption.
OpenAI as a Neural Operating System
OpenAI has outlined an ambitious idea: BCIs could become a key component of a new “AI operating system” capable of interpreting human intentions, adapting to individuals, and operating in signal-rich and noisy contexts. In this view, Merge Labs would not just be a neurotechnology startup, but a piece of a broader strategic vision connecting hardware, biology, and AI software. If the human-AI integration continues along this trajectory, Merge Labs could become a critical input layer for AI models, offering new ways of interacting with the brain and software.
A Circular, Strategic Dynamic
The combination of Merge Labs and OpenAI creates a circular dynamic: if the startup succeeds, it could generate new users and use cases for OpenAI's technologies, thereby increasing OpenAI's value. At the same time, OpenAI helps valorize a startup led by figures like Altman, ensuring synergies between strategic vision and venture capital. This interconnectedness also echoes other ecosystem initiatives, where targeted investments in advanced technologies spur new partnerships among companies, universities, and foundations.
The Founding Team and Alliances
Beyond Altman, Merge Labs' founding duo includes Alex Blania and Sandro Herbig, both already involved with Tools for Humanity, the company behind World and the eye-scanning Orb devices. Tyson Aflalo and Sumner Norman, co-founders of Forest Neurotech, as well as Mikhail Shapiro, a researcher at the California Institute of Technology, also sit on the board or leadership team. According to TechCrunch, all co-founders also sit on Merge Labs' board, reinforcing the link between academic research, entrepreneurship, and the infrastructure supporting advanced AI.
Perspectives and Debate on the Investment
This move opens a series of debates worth attention from founders and innovators. On one hand, OpenAI's investment and Merge Labs' valuation signal clear confidence in extending AI power through non-invasive neural interfaces. The approach could accelerate progress in areas such as information management, continuous learning, and cognitive ergonomics, providing tools to amplify human learning and creativity. On the other hand, questions arise about governance, ethics, and safety: to what extent is the fusion between biological capabilities and AI systems sustainable and regulated? What jumps of responsibility are expected of those developing neural interfaces, and what privacy standards should be introduced to protect users?
Moreover, there is tension between the urgency to produce tangible results and the caution necessary to avoid scenarios of abuse or dependence on neural networks. Some supporters believe non-invasiveness could accelerate broad adoption, lowering clinical risk; others fear that greater integration with AI could intensify access inequalities or introduce new forms of control over cognitive autonomy. The regulatory context, both international and national, will play a critical role in balancing innovation and safeguarding individuals.
Conclusion: What It Means for Founders and the Ecosystem
The Merge Labs story represents one of the most interesting and potentially disruptive directions for the startup ecosystem: adopting non-invasive neural interfaces as a development vector for advanced AI applications. For founders and innovators, it's a line of research to watch closely: what emerging market opportunities exist, which strategic partners can support responsible growth, and what ethical and regulatory requirements must be laid out to accompany innovation? Looking at business models that integrate hardware, software, and human training through AI could offer new paths to create value and differentiate competitively. OpenAI's investment in Merge Labs makes it even more crucial to monitor how non-invasive neural interfaces will evolve and what role they will play in the next decade for founders seeking high-impact AI solutions.




