Stateful Robotics, an embodied AI startup spun out of the University of Oxford, has raised $4.8 million in a pre-seed funding round led by Amadeus Capital Partners and Oxford Science Enterprises, with participation from angel investor Stan Boland.
Founded in 2025, the company is developing a decision intelligence platform designed to improve how robots operate over extended periods in dynamic, real-world environments.
What The Company Does
Stateful Robotics builds AI systems that enable robots to incorporate real-time inputs, task progress, and historical performance into a unified decision-making framework. Unlike traditional robotic systems, which often rely on fixed instructions or short-term responses, the company’s platform allows machines to retain and apply contextual knowledge from past experiences.
This approach enables robots to adapt to changing conditions such as shifting environments, unexpected obstacles, or evolving operational requirements. By maintaining a continuously updated internal model of their deployment context, robots can plan more effectively, adjust behavior over time, and improve reliability in long-duration tasks.
The technology is designed to support both autonomous robots and human-robot collaboration, particularly in environments where consistency and long-term performance are critical.
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Market Context / Industry Background
While recent advances in large language models and foundation models have accelerated progress in AI, real-world robotics deployments continue to face limitations. Many systems struggle to operate reliably outside controlled settings, as they lack the ability to retain and leverage historical context.
This creates challenges in sectors such as logistics, infrastructure, and energy, where robots must operate over extended periods and adapt to unpredictable conditions. The inability to learn from past outcomes or recognize recurring patterns can lead to inefficiencies, downtime, and increased operational risk.
There is growing interest in bridging this gap through embodied AI systems that combine perception, memory, and decision-making. Solutions that enable robots to move beyond reactive behavior toward long-term planning are increasingly seen as critical to scaling automation across industries.
Founder / Investor Commentary
CEO and co-founder Kirsty Lloyd-Jukes highlighted that current robotic systems are typically effective at executing immediate tasks but face limitations when decisions must account for longer time horizons. She explained that Stateful Robotics’ platform addresses this by enabling robots to maintain a continuously evolving understanding of their environment and operational history.
This capability, she noted, allows both robots and human-robot teams to operate with greater consistency and reliability in complex settings, where conditions and requirements change over time.
The founding team brings together expertise from more than a decade of research at the University of Oxford, particularly in areas such as autonomy, probabilistic verification, and decision-making under uncertainty.
Growth Plans / Use Of Funds
The pre-seed funding will be used to expand Stateful Robotics’ engineering team, further develop its core performance engine, and accelerate commercialization efforts. The company is already piloting its technology with customers in sectors including infrastructure and logistics, where long-term operational reliability is essential.
As development progresses, Stateful Robotics aims to deepen partnerships with industrial operators and demonstrate the scalability of its platform across additional industries.
About Stateful Robotics
Stateful Robotics is an embodied AI company developing decision intelligence systems for mobile robots. Founded in 2025. Headquartered in Oxford, United Kingdom. The company’s platform enables robots to learn from past experiences, adapt to changing environments, and improve performance over time across sectors such as logistics, infrastructure, energy, agriculture, and healthcare.
