Stateful Robotics, an embodied AI startup, has raised $4.8m (£3.6m) in a pre-seed round led by Amadeus Capital Partners and Oxford Science Enterprises, with angel investment from Five founder Stan Boland. It develops a platform that adds an intelligence layer to robots operating in unpredictable, real-world environments. The funding will accelerate deployment of Stateful Robotics’ platform.
Over the past five years, large language and other foundation models have improved robot perception and understanding of their surroundings, but deployments still struggle when conditions change, such as a blocked aisle, an unexpected delivery, bad lighting, or a safety incident. Foundation models do not retain memory of previous events or operational patterns, meaning that state must be modelled, stored and updated explicitly. By continuously integrating robots’ data, task progress and historic performance into a dynamic AI model, the platform enables robots to recall and plan missions in environments where tightly scripted approaches break down.
Stateful Robotics was co-founded by CEO Kirsty Lloyd-Jukes, previously CEO of Latent Logic, an Oxford spinout acquired by Alphabet’s Waymo in 2019, together with Professor Nick Hawes, Professor David Parker and Dr Bruno Lacerda. Their research at Oxford University into autonomy, probabilistic verification and decision-making under uncertainty underpins the technology. Stan Boland joins as an investor and advisor. The business is already live with pilot customers in sectors such as infrastructure and logistics, and the funding will be used to grow the engineering team, enhance its performance engine and expand go-to-market efforts with industrial partners.
Stateless systems treat every decision in isolation and cannot remember previous incidents or how work actually flows through a site. Stateful’s platform builds a persistent, shared model of tasks, environments and past behaviour that lets robots adapt to disruption and complete missions safely without constant supervision.
Mobile robots promise significant productivity gains, but scaling them requires constant reliability and clear, measurable outcomes in the real world. Most robots excel at "what now," but fail at "what next," especially when "next" is defined over hours and days, not just minutes. By maintaining a live model of each deployment based on patterns over time, our platform ensures that robots – be they single robot, robot fleets or human-robot teams – perform reliably and consistently.
Robotics has moved from static arms, to mobile units in tightly controlled environments, and now into hybrid-human spaces like factories, hospitals and energy infrastructure. This progression demands a form of intelligence that can reason about changing context over time - not just react to a single camera frame or prompt. Stateful Robotics is tackling that challenge with a novel form of AI that can support mixed forms of robots that are genuinely useful in the industrial settings where mass commercial adoption is likely to happen first.
We’re at a point where robotics hardware has largely matured, yet the industry remains stalled by a critical bottleneck: the inability of machines to handle planning over longer time horizons. Stateful’s platform is the missing layer required to turn today’s promising deployments into robust, scalable realworld solutions. They are uniquely placed to bridge the gap between world-class robotics research and the complex, high-stakes surroundings of global industry.
