Laelaps AI brings together world-class expertise from physics,
engineering, robotics, and machine learning to revolutionise the way
security is done.
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.
Maria 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 previously served as
Head of Robotics at Seavex.
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.
Stefanos holds an MSc in Communications and Signal
Processing from Imperial College London. He brings
experience from Spartan Radar and the Michigan Data Science
Team, where he developed deep learning models for
spatio-temporal prediction, self-supervised learning in
multi-agent systems, and probabilistic algorithms for object
detection and classification.
At Laelaps AI,
Stefanos develops models that enable robust understanding of
complex, real-world environments.
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.
