About

Cogitat, established in December 2020 as an Imperial College London spin-out, has emerged as a leader in AI-empowered EEG decoding technology. Our mission is to revolutionize human-machine interaction through innovative brainwave decoding technology, creating non-invasive mind-machine interfaces driven by extensive research in EEG decoding. In collaboration with Imperial College London, we've developed a unique dataset comprising over 500 hours of time-synchronized, multimodal brainwave data from hundreds of individuals. This proprietary data, combined with our patented AI algorithms, enables robust AI models that operate in a plug-and-play manner on unseen individuals, showing resilience to various noise sources. Our achievements include winning the prestigious "NeurIPS 2021 - Benchmarks for EEG Transfer Learning" competition at the world's premier machine learning conference. Our versatile decoding framework adapts across various EEG headsets and applications. We are now focusing on transforming stroke rehabilitation, exploring market opportunities in physical rehabilitation, and addressing diverse health conditions. Cogitat is uniquely positioned to revolutionise the field of EEG decoding, combining vast diverse datasets, wide demographics, neuroscience-backed ML approaches, rigorous validation in both everyday-life and clinical settings, and guaranteed compatibility with any EEG device, including future innovations.

Solution & Product

CogiGame is Cogitat's flagship solution, a revolutionary platform that combines AI-powered brainwave decoding with virtual reality to create an immersive and effective stroke rehabilitation experience. Key features include: 1. AI-Empowered Brainwave Decoding: Our proprietary algorithms interpret brain signals in real-time, allowing patients to control the virtual environment through thought alone. 2. No Physical Movement Required: This makes rehabilitation accessible even to patients with severe motor impairments. 3. Real-Time Neurofeedback: Immediate visual feedback enhances neuroplasticity and accelerates rehabilitation. 4. Hardware-Agnostic Solution: Compatible with any EEG headset, making it uniquely accessible and scalable. CogiGame works by capturing brain signals through EEG sensors when a user thinks about performing a physical action. Our AI technology then decodes these signals into control commands for the virtual environment. This creates a closed-loop system where patients can see their thoughts translated into actions, reinforcing neural pathways and promoting recovery. Unlike traditional methods or other tech solutions, CogiGame provides personalised exercises and instant feedback, enhancing patient engagement and motivation. It's not just treating symptoms – it's empowering the brain to heal itself, revolutionising stroke rehabilitation and opening new possibilities for recovery.

Innovation & Scalability

Cogitat's innovation lies in its groundbreaking approach to real-time, universal brainwave decoding. Our technology stands out with several key features: 1. Instant Interpretation: Works immediately for anyone without extensive calibration. 2. Single-Trial Accuracy: Able to decode individual movements with high precision. 3. Universal Adaptability: Works with everyone with no training or calibration needed, making it highly scalable. 4. Immediate Feedback: Enables natural, thought-driven control. Our scalability is further enhanced by our hardware-agnostic approach. By working with any EEG headset, we've removed a significant barrier to widespread adoption. This universality allows for easy integration into various healthcare settings and home-based rehabilitation programs. Cogitat's technology is not limited to stroke rehabilitation. Our core AI technology has the potential to become the standard operating system for non-invasive BCI and EEG-reading hardware. Future applications extend to other neurological conditions, mental health, cognitive enhancement, and various sectors including healthcare, education, gaming, and workplace productivity. Our scalable architecture is designed to adapt to emerging technologies, ensuring Cogitat remains at the forefront of BCI innovation. With continuous AI advancement and adaptation, we're positioned to democratize brain-computer interfaces and enhance human potential across sectors globally.

Traction & achievements

Cogitat has made significant strides in establishing itself as a leader in AI-powered brainwave decoding: 1. World Leading Technology: Cogitat is the winner of the prestigious NeurIPS 2021 EEG Transfer Learning Competition, demonstrating our superior technology in the field. 2. Patents: - Two UK patents granted for our core technology - Active applications in EU & US 3. Funding / Grants: - Secured a pre-seed round (2021) - Significant support from major Cloud Providers (2022-2024) - Completed an Innovate UK Grant validating Cogigame MVP (2023-2024) 4. Partnerships: - Key clinical partnerships with major NHS foundation trusts in London, UK - Additional clinical partnerships in Italy and Greece 5. Business Collaborations: - Formed partnerships with leading hardware companies in the wearable BCI field 6. Development Milestone: - Successfully developed a pre-clinical MVP in collaboration with UCLH NHS Foundation Trust & the UK National Hospital for Neurology and Neurosurgery, Queen Square, validating our technology's potential in real-world applications. These achievements demonstrate Cogitat's rapid progress and growing recognition in the field of AI-powered neurorehabilitation.

Team & Why Us

Team 1. Dr. Allan Ponniah (CEO): Craniofacial surgeon with deep interest in AI technologies and previous successful Imperial spinout exit. 2. Dr. Dimitrios Adamos (CTO): Honorary Senior Research Fellow at Imperial College London, pioneering technologist and entrepreneur integrating AI and neuroscience, led large-scale brainwave collection experiments. 3. Prof. Stefanos Zafeiriou (CSO): Serial entrepreneur with multiple successful exits, Professor in ML and Computer Vision at Imperial College London, winner of the Imperial College President's medal for Innovation and Entrepreneurship. 4. Prof. Yannis Panagakis (AI/ML Lead): Associate Professor at University of Athens, with research positions at Samsung AI Centre and Imperial College London. 5. Dr. Irene Kotsia (Data Lead): Extensive research experience across top UK universities. 6. Prof. Nikos Laskaris (Neuroinformatics Lead): Associate Professor at Aristotle University of Thessaloniki, with international research experience in brain science. Why Us: - Cogitat boasts a world-class team of experts combining traction in cutting-edge AI/ML, neuroinformatics and entrepreneurship - Multiple successful exits and competition wins demonstrate our capability to deliver groundbreaking solutions. - Our world-leading AI-powered brainwave decoding is pushing the boundaries of what's possible in neurorehabilitation - Imperial College London Spinout - Established collaborations with top healthcare institutions and tech companies.

Funding Needs

Cogitat is raising a Seed Round to accelerate development and market entry. This funding will be crucial for: 1. Clinical Trials: Conducting comprehensive clinical trials to validate CogiGame's efficacy and safety, crucial for regulatory approvals and market acceptance. 2. Regulatory Compliance: Navigating the complex regulatory landscape in the EU and UK, including obtaining necessary certifications (e.g., CE marking). 3. Market Expansion: Preparing for market entry in the UK, Italy, and Greece, with plans to expand across the EU by 2029 and enter the US market by 2030. 4. Team Expansion: Hiring key personnel in areas such as data science, UX/UI design, software engineering, and AI ethics to support our growth. 5. Product Refinement: Continuous improvement of CogiGame based on user feedback and clinical insights. 6. Infrastructure Development: Scaling our cloud infrastructure to support increased data processing and real-time decoding capabilities. 7. Partnership Development: Fostering new partnerships with healthcare providers and technology companies to accelerate adoption. This funding will enable Cogitat to bring our revolutionary stroke rehabilitation technology to market, potentially saving billions in healthcare costs and dramatically improving outcomes for stroke survivors. Our innovative approach and scalable technology position us for significant growth in the $33 billion global upper-limb stroke rehabilitation market.