FIELD INTELLIGENCE FOR CRITICAL ASSETS

Sophia holds a PhD in Applied Quantum Physics from the University of Cambridge, where her research focused on biosensing, alongside an MPhil in Biotechnology, also from Cambridge. She also conducted research at Harvard University and invested in deep tech startups across AI and Quantum at First Momentum Ventures.

At Laelaps AI, Sophia leads commercialisation and strategy, driving the company's mission to pioneer the next generation of autonomous security intelligence.

Mania holds a PhD in Computer Science and Robotics from UCL, where her published work on quadrupedal robot autonomy forms the technical foundation of Laelaps AI. She also holds an MSc with Distinction in Robotics from Imperial College London.

At Laelaps AI Mania leads the development of Laelaps AI's core autonomy and robotics stack, translating cutting-edge research into a robust, fail-safe platform.

Rokas did his PhD in Foundational AI at UCL, following an MSc in Artificial Intelligence and Machine Learning from Imperial College London. He brings industry experience from Qualcomm's Embodied AI team, where his work on vision-language-action systems resulted in a patent, and from MathWorks, where he built production-grade deep learning infrastructure.

At Laelaps AI, Rokas leads visual intelligence and the scalable infrastructure that enables autonomous agents to operate as a unified, real-time security layer.

Juan holds an MSc in Robotics, Cognition and Intelligence from TUM, with a focus on robotics, machine learning, and autonomous systems. He previously worked at Helsing on reinforcement learning-based coordination of real-time aerial systems, and held earlier roles developing perception and navigation systems for complex robotic environments.

At Laelaps AI, Juan focuses on robot navigation, autonomy, and multi-agent orchestration.

David holds a PhD in Robotics from the University of Oxford, specialising in legged robotics, trajectory optimisation, and motion planning, and an MSc in Robotics, Systems and Control from ETH Zürich. He brings research experience from the Oxford Robotics Institute and the University of Edinburgh, where he designed perceptive locomotion controllers for quadrupedal robots, and advises all things robotics at SeaVox.

At Laelaps AI, David focuses on robot autonomy and building systems that operate reliably in complex, real-world environments.

Matthew brings deep experience in software engineering and distributed systems, having built production-grade platforms across fintech, AI, and real-time data infrastructure at companies including Crypto Banter, Stubber, and CV-Library. His work spans backend infrastructure, real-time messaging systems, and LLM-driven orchestration, with full ownership across system design and implementation.

At Laelaps AI, Matthew builds the scalable, real-time infrastructure that powers the company's autonomous robotics platform.

Erik previously led partnerships and fundraising at START Global, building strategic relationships across the European startup ecosystem, and founded and scaled his own venture right out of high school. His background spans go-to-market strategy, business development, and early-stage execution in high-growth environments.

At Laelaps AI, Erik supports GTM, operations, and strategic initiatives alongside the founding team.

Alessio is pursuing an MSc in Robotics at ETH Zürich, following a BSc in Automation Engineering from Politecnico di Milano, where he graduated with highest honors. His experience spans robotics, computer vision, reinforcement learning, and autonomous systems, with projects ranging from multi-robot planning and satellite docking to medical image segmentation and aerial robot control.

At Laelaps AI, Alessio develops multi-agent systems for robot orchestration in complex real-world environments.

Flynn is completing an MSc in Robotics, Systems and Control at ETH Zürich, specialising in SLAM and spatial AI, following a Bachelor of Engineering in Mechatronics from the University of Auckland, where he graduated top of his cohort. He previously worked at DroneDeploy as a senior robotics software engineer, developing SLAM, state estimation, and navigation systems for autonomous robots, with earlier work on real-time point cloud mapping at Rocos.

At Laelaps AI, Flynn focuses on robot navigation, SLAM, and perception for autonomous agents operating in the real world.

Carolin holds a Master's in Art History, Ethnology and History from the University of Passau and brings decades of experience in administration, executive support, and multilingual communication. She most recently served as Executive Assistant at irmos technologies, an ETH Zürich spin-off, and previously ran her own editing and translation practice alongside work in fine art research and consulting in Zurich.

At Laelaps AI, Carolin runs operations and keeps everything running smoothly.

Dennis is in the process of completing a PhD in Computer Science at the International Max Planck Research School for Intelligent Systems, specialising in 3D scene graphs for robotic scene understanding, with publications at ICRA and IROS, following an MSc in Artificial Intelligence and Robotics from Sapienza University of Rome, where he graduated top of his cohort. He brings experience from Helsing, where he worked on visual SLAM, from lecturing on mobile robotics at the University of Stuttgart, and from building robotic camera systems for Disney and Amazon productions.

At Laelaps AI, Dennis leads perception, owning the stack that lets embodied agents and sensing systems understand any environment.

Emre holds an MSc in Robotics, Systems and Control and a BSc in Mechanical Engineering, both from ETH Zürich. He brings hands-on experience from ETH's Robotic Systems Lab, where he engineered a pan-tilt sensor unit for robotic navigation and perception and led field deployments of a river waste monitoring system in Switzerland and South Africa, and from ANYbotics, where he designed sensor housings for the ANYmal X legged robot.

At Laelaps AI, Emre develops the custom sensing systems carried by the company's embodied agents.