AurigaTech builds μBrain — the cognitive agentic AI platform that gives autonomous systems the ability to perceive, decide, and act.
No pilot. No comms link. No GPS.
Just a successful mission. Autonomously.
Modern operations demonstrate autonomous systems are essential in GPS-denied, communications-degraded environments where traditional systems fail.
Defense and commercial operators need thousands of platforms. Training sufficient human operators isn't feasible. Software scales, people don't.
Leading autonomy platforms have achieved multi-billion-dollar valuations, validating the strategic importance of cognitive AI for autonomous systems.
Defense autonomy, commercial drones, autonomous vehicles, and robotics by 2030. Growing at 24% CAGR.
Drones, anti-drone systems, border surveillance, and contested-environment operations.
Edge AI platforms for defense and high-reliability commercial applications within 3 years.
Real-time sensor fusion, object detection, and environmental mapping at the edge
Agentic reasoning, threat assessment, and dynamic goal planning
Tactical decision-making under uncertainty in milliseconds
Autonomous execution across any platform, any environment
Fleet-wide learning, remote model updates, and centralised mission intelligence
Observe → Orient → Decide → Act. The decision cycle used by fighter pilots and military commanders worldwide. μBrain runs this loop continuously at machine speed.
Embodied, Embedded, Enacted, Extended. Intelligence isn't just computation — it emerges from interaction with the physical world. μBrain is grounded in its environment.
A cognitive agentic AI engine that doesn't just follow waypoints — it perceives, reasons, decides, and acts like a trained operator. Autonomous in the truest sense.
Not waypoint navigation. Not remote control. A complete cognitive platform — from perception to action — that gives any system genuine autonomy in contested environments.
One AI platform that deploys across drones, vehicles, ground robots, and maritime systems. Build once, deploy everywhere. Edge to cloud, single platform to fleet.
μBrain was designed from day one for GPS-denied, communications-degraded environments. When the radio link fails, μBrain doesn't. It keeps thinking.
μBrain doesn't just detect objects — it understands the environment and relationships between objects and actors. It reasons about intent, threat, and context like a trained operator, not a rule-following algorithm.
Operates at the level of abstraction that allows control of any mobile robot — drone, ground vehicle, maritime platform. Competitors build platform-specific solutions. We built a universal cognitive layer.
Not waypoint navigation. Not teleoperation. μBrain is an autonomous agent that perceives, reasons, decides, and acts. It adapts to changing conditions without human intervention or rule updates.
Traditional systems follow pre-programmed waypoints and rules. μBrain makes real-time decisions based on environmental understanding. When conditions change, autopilots fail. μBrain adapts.
Other companies build incredible tech — for one platform. Some of them focus on defense-only. μBrain is platform-agnostic and scales from defense to commercial. One stack, any system.
Logged across multiple drone platforms in real-world conditions
Validated on edge and remote hardware architectures
Successful autonomous missions without external positioning
Active trials on enhanced multi-platform operations
Challenge: Track moving aerial vehicle in GPS-denied environment.
Result: Continuous track, 92% target lock retention, zero human intervention. System autonomously reacquired target after multiple occlusion events.
Challenge: Compute resource optimisation to achieve low total cost of ownership.
Result: SW stack design and architecture validated to be deployed on any platform with full mission success and decision-making.
Challenge: Deploy same AI stack on different drone and mobile platforms with minimal modification.
Result: 2-week integration time vs. industry standard 6+ months. Same codebase running on embedded ARM and x86 compute.
Robotics & Perception: 15+ years in autonomous systems, computer vision, and sensor fusion. Previously led autonomy R&D at automotive OEM.
AI & Decision Systems: Academic research in cognitive AI and artificial consciousness.
Defense & Aerospace: Former military drone operators and mission planners. Deep understanding of contested-environment operations.
Edge Computing: Embedded systems architects with experience deploying AI on resource-constrained hardware.
Software considerations in airborne systems and equipment certification. Development practices align with DO-178 guidelines.
System safety program requirements. Hazard analysis and risk management following military standards.
Guidelines for development of civil aircraft and systems. Architecture and verification aligned with aerospace best practices.
Per-device or per-fleet licensing model. Customers pay for deployed instances with volume discounts.
Custom integration and deployment support for enterprise customers. Includes training, hardware optimization, and mission-specific tuning. High-margin professional services.
SaaS subscription for fleet management, over-the-air updates, and centralized mission analytics. Recurring revenue stream with 90%+ gross margins.
Whether you're an integrator, government agency, or investor — we're actively seeking pilot programs and strategic funding partners.
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