Intui
Stockholm, SE · Founded 2020 · 7 known investors
Intui develops AI software designed to replicate biological learning and reasoning, enabling systems to understand environments and learn through natural instinct rather than synthetic datasets. The company focuses on delivering genuine intelligence grounded in neuroscience principles for applications across any environment.
Also known as IntuiCell · IntuiCell AB
Investors · 7
Company profile
researched Aug 2026IntuiCell is a Swedish deep-tech company and Lund University spin-off that develops software intended to reproduce the learning mechanisms of biological nervous systems. Its core product is described as a "digital nervous system": a decentralized learning architecture derived from neurophysiological research into how the brain predicts the world, which allows an agent to learn continuously and in real time through direct interaction with its environment rather than from pre-collected datasets, simulation or backpropagation.
The first functioning module replicates the functional role of a biological spinal cord, providing low-level reflexive control for movement and body awareness and adaptation to changing environments. The company states it also has the functioning basis for a thalamocortex component, the part of the brain that processes and predicts the world, and expects to complete a full digital nervous system within about two years of its 2025 statements. Beyond robotics, the company cites relevance to digital systems such as anomaly detection, where the software can learn normal behaviour and adapt as that baseline shifts.
The company describes its robots as demonstration vehicles rather than its product, characterizing itself as building a universal, on-agent learning architecture that can scale across different bodies and tasks, with the stated ambition of scaling toward human-level intelligence.
Founding story
The venture began when a former colleague of Viktor Luthman, who headed the technology portfolio of Lund University's holding company, brought him a case involving a group of neurophysiologists with new findings about how the brain predicts the world and an ambition to build AI resembling the human mind. The company launched in late 2020, first hire and technical founder Linus Mårtensson joined the scientific founders to turn the research into C++ code, and Luthman joined in January 2021 as CEO and co-founder.
Business model
IntuiCell positions itself as infrastructure rather than an application provider: it intends to license its digital nervous system software so that others can equip physical or digital agents with continuous learning. In the near term the company says it will pursue bespoke, flagship deployments with industrial partners while the technology matures, with the longer-term aim of a platform on which third-party companies and developers build their own solutions.
The company states it intends to license its digital nervous system to others, with earlier revenue expected from bespoke, flagship deployments before moving to a platform model.
Traction
IntuiCell demonstrated real-time learning on an inverted pendulum robot and, in 2025, on the Luna quadruped, which learned to stand and adapted online to ice and rocks. The company said industrial partners began approaching it with use cases after the Luna demonstration. Its research page lists numerous neuroscience publications from its founders, including work by Henrik Jörntell.
Latest developments
In 2025 IntuiCell publicized Luna, an unmodified Unitree Go2 quadruped running the first module of its digital nervous system, which learned to control its body and stand through trial and error. The CEO subsequently described a robot that learned to stand and balance from scratch and then adapted online to ice and rocks, and said the system was learning further skills in the office. The company said it has the functioning basis for a thalamocortex module and expects to complete the full digital nervous system within two years.
▸Full profile — market position, technology, go-to-market, geography, history
Market position
IntuiCell presents itself as pursuing a distinct paradigm from foundation-model and deep reinforcement learning approaches, aiming to become licensed infrastructure for non-biological intelligence. Press coverage places it alongside other companies advancing AI and robotics such as Sanctuary AI, Neura Robotics, Google DeepMind, Boston Dynamics and Figure AI.
IntuiCell contrasts its approach with mainstream AI, which it says depends on backpropagation, predefined datasets and static pretrained foundation models that work well for pattern analysis but are incompatible with self-driven real-time learning. Its system is presented as learning from its own experience without preloaded data or backpropagation, adapting in real time to new environments, and running on-agent rather than as a centralized cloud brain. The company frames its origin in neuroscience rather than in AI, and 35 years of research by professor Henrik Jörntell's neurophysiology lab, as its principal edge.
Technology
The technology is a decentralized learning algorithm modelled on the learning patterns of the brain, packaged as a software "digital nervous system" that runs on an agent. Its first module functions as a spinal cord, providing reflexive low-level motor control and body understanding; a thalamocortex module for processing and predicting the world is under development. The software avoids backpropagation and predefined training datasets, instead learning online through perception, action and cumulative experience. It was demonstrated on unmodified commercial hardware, a Unitree Go2 quadruped, and earlier on an inverted pendulum robot.
Go-to-market
The company plans initial bespoke, flagship deployments with industrial partners, followed by a licensing model for its digital nervous system aimed at becoming infrastructure for non-biological intelligence. Public demonstrations, such as the Luna quadruped, are used to communicate the technology's capabilities, and the company said the demonstration prompted industrial partners to approach it with their own use cases. IntuiCell also said it planned to hire a dog trainer to teach a physical agent new skills, rather than integrate a large language model and large datasets.
Robotics and industrial automation companies deploying physical agents, as well as operators of digital systems requiring adaptive capabilities such as anomaly detection; longer term, developers and companies building applications on top of the platform.
Geography
IntuiCell is based in Sweden, with a presence in both Lund and Stockholm; press coverage describes it as Stockholm-based.
History
The company originated from three decades of neurophysiology research at Lund University, where professor Henrik Jörntell and his lab worked on the mechanisms by which the brain predicts the world. It was launched in late 2020 after the head of the technology portfolio at Lund University's holding company brought the case forward; Linus Mårtensson joined as the first hire and technical founder to translate the research into C++ software, and Viktor Luthman joined in January 2021 as CEO and co-founder. An early proof point was an inverted pendulum robot that learned to balance in real time from scratch. In 2025 the company demonstrated Luna, an off-the-shelf Unitree Go2 quadruped running its first module, which learned to stand and balance and adapted online to surfaces such as ice and rocks.
Compiled by commissioned research from 5 cited public sources — announcements, filings, and press listed under research sources below.
Timeline · 3
launches, deals, and filingsIntuiCell's CEO described a demonstration roughly six months prior to the interview in which a robot learned from scratch to stand and balance, then adapted online to surfaces such as ice and rocks.
IntuiCell released a video of an off-the-shelf Unitree Go2 quadruped, named Luna, running the first working module of its digital nervous system. With no pre-programmed intelligence or instructions, the robot learned to control its body and to stand through trial, error and cumulative experience, learning in real time in a real-world setting.
IntuiCell was launched in late 2020 by a group of neurophysiologists from Lund University; first hire Linus Mårtensson (tech founder) joined to translate the research into C++, and Viktor Luthman joined in January 2021 as CEO.
Dated company events from announcements, filings, and press; legal rows summarize public dockets and regulator releases.
In the news
▸Research sources · 5
primary sources listed
- Intuicellintuicell.com · web
5 public sources were cited for this profile; the first-party ones are listed here.
Frequently asked questions
- What does Intui do?
- Swedish Lund University spin-off building a biologically inspired "digital nervous system" that lets machines learn in real time.
- Who are Intui's investors?
- Intui's investors include FSG, Leksell Social Ventures, LU Innovation, Luminar Ventures, Mist Ventures, Navigare Ventures, SNÖ Ventures.
- Where is Intui headquartered?
- Intui is headquartered in Stockholm, SE.