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Dexory

Dexory builds autonomous robots, AI-driven algorithms, and real-time digital twin systems aimed at one of the most operationally dense environments on the planet: the warehouse. The London-based company has scaled from 15 to 80 employees in just over a year, signaling both market traction and the kind of technical hiring velocity that keeps threat surfaces expanding alongside feature sets. Its stack spans robotics, autonomous systems, and logistics intelligence - domains where data integrity, sensor fusion reliability, and adversarial resilience aren't theoretical concerns but daily operational realities. The technical domains are broad but deeply physical: autonomous navigation in unstructured environments, computer vision pipelines feeding digital twin models, and AI algorithms optimizing warehouse throughput in real time. That means attack surfaces include firmware integrity on deployed robot fleets, data poisoning vectors in ML training loops, and the authentication and access-control layers governing digital twin platforms that model entire facilities. The security posture required here is not bolted-on - it's architectural. The team draws from a notably varied talent pool - Formula 1 engineering, Google, IBM, Jaguar - bringing high-performance systems thinking into a fast-paced, ownership-heavy culture. For security professionals, the draw is concrete: you'd be protecting systems that move physical goods at scale, where a compromised control plane or a manipulated sensor feed has immediate, measurable downstream impact. The company describes its culture as ambitious and grounded, with rapid growth opportunities and a structure that gives individual contributors real leverage over product direction.

Dexory builds autonomous robots, AI-driven algorithms, and real-time digital twin systems aimed at one of the most operationally dense environments on the planet: the warehouse. The London-based company has scaled from 15 to 80 employees in just over a year, signaling both market traction and the kind of technical hiring velocity that keeps threat surfaces expanding alongside feature sets. Its stack spans robotics, autonomous systems, and logistics intelligence - domains where data integrity, sensor fusion reliability, and adversarial resilience aren't theoretical concerns but daily operational realities.

The technical domains are broad but deeply physical: autonomous navigation in unstructured environments, computer vision pipelines feeding digital twin models, and AI algorithms optimizing warehouse throughput in real time. That means attack surfaces include firmware integrity on deployed robot fleets, data poisoning vectors in ML training loops, and the authentication and access-control layers governing digital twin platforms that model entire facilities. The security posture required here is not bolted-on - it's architectural.

The team draws from a notably varied talent pool - Formula 1 engineering, Google, IBM, Jaguar - bringing high-performance systems thinking into a fast-paced, ownership-heavy culture. For security professionals, the draw is concrete: you'd be protecting systems that move physical goods at scale, where a compromised control plane or a manipulated sensor feed has immediate, measurable downstream impact. The company describes its culture as ambitious and grounded, with rapid growth opportunities and a structure that gives individual contributors real leverage over product direction.

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