ARGUS INDUSTRIES
ARGUS is the intelligence and orchestration layer that unifies heterogeneous physical assets ( Drones,
Rovers, Sensors ) under a single autonomous command structure. MCP for physical assets.

THE PROBLEM
Modern operations demand multi-domain autonomy at scale. Yet the hardware landscape is fragmented — every platform speaks a different protocol, every vendor builds a walled garden.
The result: operators spend more time managing integrations than executing missions. Intelligence sits siloed. Assets that should coordinate are blind to each other.
We are ending the integration tax. ARGUS abstracts the hardware layer entirely, so operators think in intent, not in drivers.

01
Every hardware vendor ships its own sdk, protocol, and api. There is no common language across platforms.

02
No platform today unifies air, ground, and maritime assets under a single reasoning layer — the way MCP unified tools for language models.
03
Sensor data from drones, rovers, and cameras lives in separate pipelines. No shared operational picture, no coordination.

04
Existing autonomy stacks assume reliable connectivity. Real-world operations are GPS-denied, comms degraded, and latency-intolerant.
Core Capabilities
Think of ARGUS as MCP for physical assets. A universal protocol layer that connects autonomous hardware to AI reasoning the way model context protocol connects tools to language model. Three foundational layers one brain
MCP for physical assets. Plug and play integration across air, ground, and maritime assets regardless of manufacturer, protocol, or vintage. Hardware becomes interchangeable.
Transform passive sensors and vehicles into reasoning agents capable of executing natural language intent. No scripted routes. No Manual teleoperation.
Designed for contested environment with fully localized, deterministic compute. Operates in GPS denied, comms degraded conditions without cloud dependency.
OPERATIONAL DOMAINS
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AERIAL / UAV
GROUND / UGV
MARITIME / USV
MULTI SENSOR FUSION
Multi UAV swarm coordination with shared situational awareness. Auto nomous Inspection, survey, nd response routing, each agent reasoning independently, acting collectively.


JOIN THE MISSION
We are building the foundational operating system for autonomous physical intelligence."
This is a founding team role. You will shape architecture, own technical direction, and work on problems that have no prior art. We are not building features we are building infrastructure that outlasts any single platform.
We recruit for first-principles thinkers who are comfortable with deep ambiguity and have strong opinions about how autonomous systems should work. Prior robotics, embedded AI, or autonomous systems experience is a signal, not a requirement.
Embedded
Vision AI
Real-Time Inference
Jetson
C2 Systems
Real-Time Data
Maps / Geo
Next.js
Robotics
Motion Planning
Multi-Agent
ROS
Enterprise
Gov Tech
Autonomy
BD
Strategic Roadmap
From universal hardware abstraction to full-stack physical AI — the architecture that closes the loop between manufacturing, deployment, and real-world autonomous operation.
Establishing The Baseline Infrastructure For Heterogeneous Hardware. The MCP Layer For Physical Assets Any Drone, Rover, Or Sensor, Any Manufacturer, One Protocol.
Hardware-agnostic integration for aerial and ground assets. Plug any platform into ARGUS without writing custom drivers.
High-density, real-time telemetry and geospatial mapping. Full situational awareness across all connected assets from a single interface.
Shifting from manual teleoperation to intent-based, AI-driven control. Operators issue objectives.ARGUS handles execution.
Integrating robotic arms, assembly lines, and logistics via the same core OS. Physical intelligence becomes the operating layer of manufacturing.
Multi-agent communication and decentralized mission adjustment. Assets negotiate, adapt, and replan without human intervention.
Expanding the abstraction layer beyond mobile assets to static infrastructure. The same OS that runs a drone swarm runs a factory floor.
Integrating robotic arms, assembly lines, and logistics via the same core OS. Physical intelligence becomes the operating layer of manufacturing.
Closing the loop between manufacturing, deployment, and real-world operation. The first end-to-end platform for autonomous physical systems at scale.