Mission Autonomy for Hybrid Formations
Future wars are going to be defined by unmanned weapons. It starts with ubiquitous drone coverage. The winner of the drone battles will then be able to advance with unmanned ground, maritime vehicles, and hybrid formations.
Exia Labs builds mission autonomy and AI-enabled command and control products that seamlessly synchronize these unmanned systems with human operators in real-time.
We achieve this by mastering the raw data of the physical world to create high-fidelity, machine-readable environments. By training AI agents to deeply understand movement, constraints, and environmental effects within these world models, we generate the actionable intelligence needed to power mission autonomy for unmanned systems, operators, and human-machine teams.
Blue C2 Ecosystem
Blue
Blue is a predictive C2 system that enables commanders to anticipate and act on the evolving operational environment. Our Spatial Intelligence provides real-time tracking, feasibility analysis, and human-machine teaming at machine speed. Built on a Modular Open Systems Approach foundation, Blue’s architecture is entirely plug-and-play; individual modules like sandbox, entity resolution, or autonomous vehicle orchestration can be deployed independently. Whether directing first responders or orchestrating autonomous fleets, Blue delivers the spatial intelligence required for decision dominance.
Keystone
Keystone is an AI-powered Blue Force Assurance product that ingests reports about friendly units from across echelons and allies, resolves inconsistencies and duplicates, and generates distinct unit entities with assigned confidence levels. Keystone updates these entities in real time, creating a single, trusted object-based data layer for mission systems like Maven Smart System and Lattice. Engineered for maximum interoperability, Keystone functions as a standalone product or as a seamlessly integrated module within the Blue C2 ecosystem.
Autonomy Management
Blue's autonomy management feature enables users to control autonomous systems through TAK and test feasibility of COAs for hybrid formations.