Nordic Startup IntuiCell Unveils World’s First Digital Nervous System for AI

An startup company in the field of deep technology in the north has announced by penetrating artificial intelligence with the creation of the first functional “nervous system” capable of independent learning. Intusell, from the University of Lund, on March 19, 2025, revealed that it has been designed to the success of Amnesty International, which is learning and adapting like biological organisms, which may offer the current Amnesty International models as old in many applications.

Innovation is a significant departure from traditional fixed automatic learning models by repeating the basic principles of how learning in the biological nervous system. Unlike traditional artificial intelligence that depends on wide data collections and rear decline algorithms, Intuicell technology allows machines of learning through direct interaction with their environment.

“Intuicell’s coding how learning occurs in biology and designed it as a program for the first time,” the company stated in its announcement, and described the penetration as “bypassing fixed machine learning models (the basic pillar of the traditional prosecution) by creating a fully integrated digital system” capable of expanding naturally to intelligence at the human level. “

The company showed its innovation with “Luna”, a robot dog learning to control its body and stand in the experience and error, similar to a newborn animal. The company’s video clips show that Luna learns herself to stand without any intelligence or pre -programmed instructions, only dependent on the digital nervous system to learn from the experience.

“Contrary to traditional artificial intelligence models that are linked to fixed training data, the robot dog – which is called a color – imagines, works, and improves itself through direct interaction with his world,” according to the company’s press statement.

How technology works

In the heart of Intuicell’s innovation is a fundamental shift in how to learn machines. Unlike traditional artificial intelligence systems that treat huge data collections through fixed algorithms, Intuicell’s approach simulates biological mechanisms that allow humans and animals to learn naturally.

VikTor Luteman, CEO and co -founder of Intuicell, highlighted this discrimination during the announcement. According to Luteman, traditional artificial intelligence has become adult in data processing but it is less than real intelligence, while its vital inspired system enables machines to develop and interact with their environment in unprecedented ways.

The structure of the system is a great departure from standard nerve networks. Intuicell has developed a technique that works similar to the biological spinal cord, creating the founding infrastructure of independent learning. This is part of a largest system designed to repeat the treatment capabilities in the hypothalamus, the brain area responsible for sensory treatment and the model of the world.

Instead of relying on BackProPagation and huge training data groups, the Intuicell nervous system uses frequent networks with a decentralized educational algorithm that reflects brain processes. This architecture allows artificial intelligence agents to obtain knowledge through direct experience and adapt to new situations in actual time – the capabilities that were far -reaching in traditional machine learning.

The practical application of this technology reflects its biological inspiration. Instead of programming behaviors or data feeding through traditional algorithms, Intuicell plans to employ dog ​​coaches to teach artificial intelligence agents their new skills. This approach is a fundamental shift from the practical development of model intelligence, while emphasizing the interaction in the real world on the scale. Dr. Udaya Rongala, researcher and co -founder, explained that their work stems from three decades of neuroscience research that focuses on understanding intelligence during the appearance of the structure and dynamics of the nervous system.

Ronigla pointed out that “the obsession with expanding the brute force, billions of parameters, more account, and more data is an artifact for a wrong approach mainly to achieve intelligence.” “Intuicell does not chase a larger model-intelligence is not our ultimate goal, but our starting point.”

Intuicell technology aims to create “the first education systems in the real world; the machines that learn from us, in the same way that we know a new animal skill.” The company conceives that its digital nervous system has become “infrastructure for all non-biological intelligence-which enables others to solve realistic problems that we cannot predict today, without relying on huge training data groups.”

Research and team Experience Foundation

The company’s institution was built on three decades of neuroscience research at Lund University. Professor Henrik Eurnetl, a co -founder of Intuicell and professor of neurological physiology at the university, led the company as “the only laboratory in the world capable of recording a mono -cell activity across the entire nervous system”, and it provides a unique scientific basis for Intuicell technology.

The leadership team includes entrepreneurs and researchers with experience with experience in neuroscience, science intelligence, robots and business. In addition to Luteman, Jörntell and Rongala, the founding team includes Dr. Jonas Enander, a medical doctor who has experience in neuroscience; Linus mårtensson, the main developer responsible for translating research into programs; Robin Milstrand, CO with a background in AI’s technology companies.

INTuICell has received 3.5 million euros of financing from investors including Navigare Ventures and Snö Ventures. The company expects to complete the development of the full digital nervous system during the next two years, with the ultimate goal of enabling any agent, material or digital, with “lifelong learning and adaptation to the unknown – the capabilities that were one day are unique to biological creatures.”

While the full awareness of Intuicell’s vision remains years away, its demonstration with Luna provides convincing early evidence of their technology capabilities to transform the development of artificial intelligence through the creation of systems capable of independent learning and adaptation through interaction in the real world.