THE BRAIN BEHIND SECURITY

Field Foundational Models

MULTI-AGENT COORDINATION
IN THE REAL WORLD

Aerial
Stationary
Ground

Visual Intelligence

NEVER MISS
A CRITICAL EVENT AGAIN

Company

Laelaps AI builds a fail-safe, autonomous security layer: unifying any robot and stationary sensor into one intelligent, coordinated monitoring force.

About

Laelaps AI is pioneering the next generation of security and defensive intelligence through autonomous robotics. Focused on addressing critical challenges in modern surveillance, we are developing AI-driven systems that combine adaptability, reliability, and cost-efficiency.

Our advanced technologies are designed to transform security operations across commercial, and defense sectors, delivering innovative solutions for continuous autonomous surveillance, rapid response, and intelligent decision-making.

Mission

Critical infrastructure is defended by systems designed for a different era.

Since then, cameras multiplied. Perimeters grew. Threats evolved. The number of human operators watching the screens and patrolling did not. Teams are asked to analyse more with fewer eyes and to react to incidents they were never given a chance to see.

We are here to change that.

By integrating autonomous systems into existing security networks, Laelaps AI reduces the monitoring burden, helping units maintain 24/7 excellent coverage, while improving response speed and decision quality.

Our platform is hardware-agnostic: deployable on any robot and any existing camera, unifying them into a single, intelligent monitoring force that sees everything and misses nothing.

Humans Behind the System

Laelaps AI brings together world-class expertise from physics, engineering, robotics, and machine learning to revolutionise the way security is done.

Founders

Dr. Sophia Belser LinkedIn CHIEF EXECUTIVE OFFICER

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.

Dr. Mania Stamatopoulou LinkedIn CHIEF RESEARCH OFFICER

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 Bendikas LinkedIn CHIEF TECHNOLOGY OFFICER

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.

Team

Juan de los Rios LinkedIn ROBOTICS ENGINEER

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.

Dr. David Rytz LinkedIn ROBOTICS ENGINEER

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 Kriel LinkedIn SOFTWARE ENGINEER

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 Frilingos LinkedIn COMPUTER VISION ENGINEER | INTERN

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 Litschel LinkedIn GTM | FOUNDER'S ASSOCIATE | INTERN

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 Salvatore LinkedIn ROBOTICS ENGINEER | INTERN

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.

Backed by

Speedinvest Expeditions Fund Florent Venture Partners Fund F ESA BIC NVIDIA Inception

Careers

BUILD THE AUTONOMOUS
SECURITY LAYER.

We hire for robotics, perception, autonomy, and infrastructure: builders with rare ambition and low ego, who ship real-world systems that operate outside the lab, where latency, reliability, and failure modes actually matter. In-person in Zurich.

Position Type Time Location
Perception Engineer Engineering Full-time Zurich / Remote

Computer Vision · ReID · Multi-Object Tracking · VLMs · Edge Deployment

Build and own the perception systems behind our multi-sensor surveillance and robotics stack: cross-camera re-identification, high-throughput detection and tracking across many simultaneous video streams, and VLMs for open-vocabulary scene understanding. Take state-of-the-art models and do the unglamorous work of making them fast, reliable, and deployable on edge hardware. Systems that work on a live site and stay working.

Infrastructure Engineer Engineering Full-time Zurich / Remote

Cloud · Kubernetes · CI/CD · Secure Networking · Edge Fleet

Build the cloud platform connecting our robot fleet to operator intelligence: cloud setup, CI/CD, container orchestration, secure networking, and edge fleet management. A critical early-stage hire whose systems define how the company ships software for years. Because we deploy on-prem to security-sensitive customers, you'll care as much about hardened, self-contained deployments as about raw speed.

Hardware Lead Engineering Full-time Zurich, Switzerland

Mechanical · Electrical · System Integration

Own hardware development of our autonomous security platforms — across ground, aerial, and stationary systems — end-to-end: mechanical design, electronics, sensor integration, ruggedization, and manufacturing. You bring deep experience taking robotics hardware from prototype to fielded systems that survive real-world outdoor operation.

Autonomy Engineer Engineering Full-time Zurich, Switzerland

Navigation · Planning · Controls · SLAM · Sensor Fusion

Own the autonomy stack end-to-end: drivers and calibration, sensor fusion, SLAM and localization, global and local planning, motion controls, and high-level behavior. Ship robotics systems that operate reliably in complex, real-world environments where edge cases are the norm.

Foundational Models Engineer Engineering Full-time Zurich, Switzerland

VLA/VLM · Robot Control · Scene Understanding

Build the foundational models behind our autonomous security platforms. Train, fine-tune, and deploy VLAs, VLMs, and world models for robot control, contextual reasoning, and scene understanding — pushing the frontier of how machines perceive and act in the physical world.

GTM Commercial Full-time Zurich, Switzerland

Commercial Strategy · Customer Development · Partnerships

Take ownership of go-to-market as our first dedicated commercial hire, working alongside the CEO and founder's associate. Build the playbook for selling autonomous security to enterprise and industrial customers — from first pilots to repeatable contracts — and shape pricing, positioning, partnerships, and the customer relationships that define the business.

Internships Engineering Full-time Zurich, Switzerland

Computer Vision

Work on real-time detection, tracking, and scene understanding for outdoor security robots operating in unconstrained environments.

Navigation

Contribute to planning, control, and sensor fusion for autonomous navigation across complex outdoor terrain.

Perception

Build multi-modal perception pipelines fusing cameras, LiDAR, and audio for robust situational awareness in the field.

Vision-Language-Action Models

Research and apply VLA/VLM foundation models for robot control, contextual reasoning, and natural language interaction.

Multi-Agent Reinforcement Learning

Develop learning-based coordination strategies for fleets of robots that share tasks, optimize throughput, and remain safe under uncertainty.

Hardware

Contribute to mechanical design, electronics, sensor integration, and ruggedization of our autonomous security platforms across ground, aerial, and stationary systems. Hands-on experience taking robotics hardware from concept to fielded systems.

Master Thesis Projects Research Full-time Zurich, Switzerland

Visual SLAM and Sensor Fusion

Develop a visual SLAM framework combined with multi-sensor fusion (IMU, GNSS, depth/LiDAR) to enable reliable navigation and target-aware autonomy in outdoor environments. Work with real robots on real sites.

Multi-Robot Orchestration

Develop learning-based coordination strategies using multi-agent reinforcement learning that allow multiple robots to share tasks, optimize throughput, and ensure safety and robustness.

Hardware Design and Ruggedization of a Quadruped Security Robot

Design, integrate, and ruggedize a quadruped platform for outdoor security. Address mechanical, electrical, and electromechanical subsystems for real-world deployment.

Noise Source Identification for Robotics

Build a robust framework for detection, classification, and localization of acoustic noise sources using multi-microphone sensing and signal processing for robotic perception.

Can't find a position that fits?

Send an email to talent@laelaps.ai with your résumé/github and a brief note about your skills and interests. We're always looking for exceptional talent.