We believe that new data systems & platforms applied to research discovery will forever change how we understand and build upon human knowledge.
Founded in 2024, NeuMind is aiming to pioneer AI-powered research assistance, aiming to transform how academic discovery is accessed, organized, and leveraged across all disciplines.
Our vision is to integrate cross-disciplinary insights within hours instead of months by embedding advanced categorization directly into our discovery engine, rather than treating fields as isolated domains. We are focused on making research comprehension seamless, working to democratize access to the latest scientific breakthroughs for researchers worldwide.
Shared values
Open Systems
Every AI insight comes with clear explanations. We show our work, ensuring researchers can trust and validate every result.
Data Integrity
We use data ethically and transparently, respecting intellectual property and privacy in all our research tools.
People First
Our tools amplify human expertise rather than replace it. We build technology that enhances, not automates, research.
Cross Pollination
Breaking down barriers between disciplines to help researchers discover unexpected connections and insights faster.
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Our People
Alexander brings technical depth from his MSci in Mathematics and Computer Science at Durham University, where he developed a passion for hackathons and collaborative problem-solving. His academic foundation is complemented by a research exchange in China, giving him valuable international perspective. As COO, he combines his technical background with strategic thinking to drive our company's growth. When not in the office, Alexander can be found on the squash court or kickboxing.
Akshit brings deep quantitative expertise from his undergraduate studies in Mathematics, Physics, and Statistics at Christ University, Bangalore, and his Masters in Scientific Computing and Data Analysis from Durham University. His experience as both an ML engineer and researcher bridges the gap between academic theory and practical applications. When not working on complex computational problems, Akshit can be found at the pool table or occasionally on the badminton court.
Coming Soon
Josh brings a strong theoretical foundation in both mathematics and computer science through his MSci studies at Durham University. As a Software Engineer, he leverages his data engineering background to build our research discovery platform. When he's not writing code, Josh can be found on the hockey field or tennis court, pursuing his passion for competitive sports.
