ARGUS INDUSTRIES

Autonomous intelligence forThe Physical World

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.

ARGUS

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THE PROBLEM

THE INTEGRATION TAX IS REAL

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.

Domain Intelligence

01

Fragmented By Design

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

Domain Intelligence

02

No Universal Abstraction

No platform today unifies air, ground, and maritime assets under a single reasoning layer — the way MCP unified tools for language models.

03

Siloed Intelligence

Sensor data from drones, rovers, and cameras lives in separate pipelines. No shared operational picture, no coordination.

problem

04

Cloud-First, Field-Last

Existing autonomy stacks assume reliable connectivity. Real-world operations are GPS-denied, comms degraded, and latency-intolerant.

Core Capabilities

WHAT IT DOES. NOT HOW.

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

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Universal Abstraction

MCP for physical assets. Plug and play integration across air, ground, and maritime assets regardless of manufacturer, protocol, or vintage. Hardware becomes interchangeable.

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Agentic Control

Transform passive sensors and vehicles into reasoning agents capable of executing natural language intent. No scripted routes. No Manual teleoperation.

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Zero Latency Edge

Designed for contested environment with fully localized, deterministic compute. Operates in GPS denied, comms degraded conditions without cloud dependency.

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OPERATIONAL DOMAINS

ALL TERRIAN. ONE BRAIN

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  • uav

    AERIAL / UAV

  • uav

    GROUND / UGV

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    MARITIME / USV

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    MULTI SENSOR FUSION

AERIAL COMMAND

Multi UAV swarm coordination with shared situational awareness. Auto nomous Inspection, survey, nd response routing, each agent reasoning independently, acting collectively.

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JOIN THE MISSION

THE OS DOESN'T EXIST YET

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.

Open

FOUNDING EDGE AI ENGINEER

Embedded

Vision AI

Real-Time Inference

Jetson

Open

Founding Full-Stack Architect

C2 Systems

Real-Time Data

Maps / Geo

Next.js

Open

Autonomy Systems Engineer

Robotics

Motion Planning

Multi-Agent

ROS

Open

Partnerships & Growth Lead

Enterprise

Gov Tech

Autonomy

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Strategic Roadmap

Three Phases. One Endgame.

From universal hardware abstraction to full-stack physical AI — the architecture that closes the loop between manufacturing, deployment, and real-world autonomous operation.

Phase 1

Universal Abstraction

Establishing The Baseline Infrastructure For Heterogeneous Hardware. The MCP Layer For Physical Assets Any Drone, Rover, Or Sensor, Any Manufacturer, One Protocol.

The Edge Agent

Hardware-agnostic integration for aerial and ground assets. Plug any platform into ARGUS without writing custom drivers.

C2 Dashboard

High-density, real-time telemetry and geospatial mapping. Full situational awareness across all connected assets from a single interface.

PHASE 2

Autonomous Reasoning

Shifting from manual teleoperation to intent-based, AI-driven control. Operators issue objectives.ARGUS handles execution.

AI Co-Pilot

Integrating robotic arms, assembly lines, and logistics via the same core OS. Physical intelligence becomes the operating layer of manufacturing.

Dynamic Swarm Orchestration

Multi-agent communication and decentralized mission adjustment. Assets negotiate, adapt, and replan without human intervention.

PHASE 3

Industrial Scale

Expanding the abstraction layer beyond mobile assets to static infrastructure. The same OS that runs a drone swarm runs a factory floor.

AI Automated Factories

Integrating robotic arms, assembly lines, and logistics via the same core OS. Physical intelligence becomes the operating layer of manufacturing.

Full-Stack Physical AI

Closing the loop between manufacturing, deployment, and real-world operation. The first end-to-end platform for autonomous physical systems at scale.