Frequently Asked Questions

Answers to Your Questions

What does Entropy Robotics as a company do?

Entropy Robotics builds onboard AI systems that make drones capable of autonomous task execution — detecting objects, navigating complex terrains, and making real-time decisions without cloud dependency.

The system runs AI directly on the edge compute unit. It processes video and sensor data in real time, allowing for object detection, and navigation without needing an internet connection.

Our stack is compatible with UAVs that use flight controllers with support MAVLink (PX4 or ArduPilot for example), including fixed-wing, multirotor, and VTOL platforms used in manufacturing, inspection, and agriculture.

We help drone manufacturers shorten development cycles with a plug-and-play autonomy stack that includes object detection, mapping, and safety systems ready for integration. Beyond autonomy, we also provide full device and mission management capabilities, enabling manufacturers to control, monitor, and update their drone fleets efficiently.

Drone manufacturers can easily integrate Entropy Robotics’ AI by connecting it to their existing MAVLink-based systems (PX4 or ArduPilot for example). Our technology adds onboard autonomy, real-time object detection, mapping, and safety features without requiring hardware changes. It also supports device and mission management, allowing full control and monitoring of drone operations through a unified platform.

We focus on edge AI running on low SWaP hardware and processing all data directly onboard the drone. This makes operations faster, more secure, and more reliable even in GPS-denied or low-connectivity environments. Our platform is drone agnostic and built on open architecture, allowing manufacturers to enhance their entire fleets and enabling end users to deploy mission-specific software and use the drone as a multi-role mission vehicle.

The onboard AI can be configured to detect various object classes required for the mission, delivering real-time analysis tailored to each operation. It runs at up to 45 frames per second, enabling fast and mission-critical detections directly on the drone.

Yes. Our vision and inertial based navigation system uses camera input and AI scene understanding to navigate even in GPS-denied zones.

The AI continuously analyzes the terrain and automatically selects the safest possible landing site, even in cases of communication loss or emergency descent. The safe landing process is enhanced by real-time object detection, which acts as a fail-safe to ensure multi-channel safety.

Entropy Robotics transforms standard drone imagery into 3D, geo-rectified terrain maps. These maps can be exported into GIS platforms for detailed analysis and planning.

Infrastructure operators use our AI drones for asset inspection, damage detection, perimeter monitoring, and site security without requiring manual piloting.

Bridges, pipelines, solar farms, power lines, wind turbines, and construction sites can all be monitored with autonomous drones running Entropy Robotics technology.

The system continuously analyzes terrain and surroundings in real time, automatically selecting safe flight paths and landing zones. Real-time object detection acts as a fail-safe to enhance multi-layer safety.

Yes. Our AI runs fully onboard, allowing drones to operate autonomously and safely without continuous network or GPS access.

How do ranchers benefit from Entropy Robotics’ platform?

Ranchers use AI-powered drones to monitor livestock, track movement patterns, identify strays or predators, and evaluate pasture conditions in real time. The technology also strengthens security by detecting trespassing and other unauthorized activities.

Yes. The AI can detect, track, and count animals across large areas, helping ranchers automate livestock management and reduce manual labor.

Absolutely. All core processing happens onboard, making it ideal for rural, remote, or disconnected environments.

Yes. We support modular sensor integration such as LiDAR, thermal, multispectral, and environmental  through standard interfaces.

Captured metrics, annotated videos, and flight data are stored locally on the drone and later synced for post-mission analysis using our interactive software tools.

Our platform supports aerospace manufacturers, infrastructure management, agriculture, environmental monitoring, and emergency response sectors.

You can download the Starter Kit for evaluation or schedule a demo session to explore integration options and test live mission analytics.

Drone manufacturers can integrate our open-architecture, edge-AI software directly into their fleets. This enables faster onboard processing, real-time autonomy, and mission-specific intelligence without major hardware changes.

Ranchers use our AI-powered drones to monitor livestock, track animal movements, detect predators or strays, and assess pasture conditions in real time. The same system also enhances security by detecting trespassing or unauthorized activity.

For infrastructure operators, our drones perform autonomous inspections of pipelines, power lines, and remote facilities. The onboard AI detects faults, leaks, and anomalies even in GPS-denied or low-connectivity environments, improving reliability and reducing risk.

The Entropy Robotics Compute Unit is a low SWaP onboard processing module that brings edge AI directly to the drone. It runs mission-specific AI models such as object detection, terrain analysis, and autonomous navigation in real time without relying on cloud connectivity. Designed to be modular and drone-agnostic, our Compute Unit integrates easily into any platform, delivering faster decision-making, enhanced safety, and full autonomy even in GPS-denied or low-connectivity environments.

Entropy Robotics focuses on edge AI, meaning all processing happens directly onboard the drone. This ensures faster, more secure, and reliable operations even in GPS-denied or low-connectivity environments. We also offer no-code adaptive learning for computer vision models. The user can leverage the data collected to create new detection models which are context aware and mission specific.

Yes. Our platform is drone agnostic and designed for open architectures. It can be integrated into existing fleets or new drone models with minimal to none engineering effort. We support MavLink out of the box but we can add other technologies as needed.

Our AI supports a wide range of missions, including livestock monitoring, infrastructure inspection, environmental mapping, and security operations. Each use case can run tailored AI models optimized for its objectives.