Certis and FieldAI Partner on Security Robotics
Security services firm Certis and robotics company FieldAI have formed a strategic partnership to deploy autonomous robots in security operations. The collaboration reflects a trend of robotics companies partnering with established industry players to gain market entry and operational validation for their platforms.
- The collaboration will technically integrate FieldAI’s "Field Foundation Models™" with Certis’s own Mozart™ orchestration platform, which is designed to coordinate robots, human teams, and existing workflows in real-time. - FieldAI’s core technology acts as a general-purpose "brain" for various robot types, enabling them to operate in dynamic environments without needing pre-existing maps or fixed routes, sharing operational learnings across the entire fleet to improve performance. - The partnership is led by Certis President and Group CEO Ng Tian Beng and FieldAI founder and CEO Ali Agha, a veteran of NASA's Jet Propulsion Laboratory (JPL) where he was a principal investigator for DARPA and NASA autonomy projects. - To support the integration and deployment efforts with Certis, US-based FieldAI has established a new office in Singapore, signaling a commitment to large-scale, multi-site rollouts across the region. - FieldAI, founded in 2016, recently raised $405 million in a Series D round from investors including Bezos Expeditions, Khosla Ventures, and Nvidia's venture arm, NVentures. - The partnership targets a global security market that employs over 30 million people and is facing labor constraints; the stated goal is to use robots for routine tasks like patrols to free up personnel for higher-level analysis and incident response. - This move is part of a broader strategy for Certis, which has previously deployed other robotics, including autonomous mobile surveillance units, and has been evaluating humanoid robots for potential use in its operational ecosystem since at least May 2025. - FieldAI’s technical approach is building what it calls "physics-first" and "risk-aware" AI models specifically for embodied intelligence, differentiating it from approaches that retrofit large language or vision models for robotic use.
