Autonomous Aerial Intelligence

Flight,
perfected by intelligence.

UAV and VTOL platforms with neural perception, ROS2 autonomy, and edge inference — engineered for missions where every millisecond matters.

Start a Mission Brief Explore Capabilities
vehicle 0.94 structure 0.91 person 0.88

The Platform

One stack. Air, edge, and cloud.

Every Fluxion platform ships with the same autonomy core: perception, planning, control, and telemetry — tuned per airframe.

Capabilities

Four layers. One mission.

From raw sensor input to flight-ready decisions, each layer is engineered for deterministic latency and field reliability.

Deep Learning

Neural Perception

Real-time object detection, tracking, and anomaly detection on aerial imagery — trained in PyTorch, deployed via TensorRT on Jetson.

Autonomous Systems

ROS2 Autonomy

Modular autonomy stack with SLAM, behavior trees, and mission planning. Runs on the edge with deterministic timing.

Airframes

UAV & VTOL Platforms

Custom fixed-wing, multirotor, and VTOL airframes engineered for endurance, payload, and rough-field operations.

Onboard Compute

Edge Inference

Low-latency inference on Jetson Orin, Edge TPU, and ARM Cortex — no cloud round-trip, no dropped frames.

Technology Stack

Engineered with the tools that matter.

Research

Physics, calculus, and code.

We publish what we learn — from VTOL transition dynamics to the mathematics of stable autonomy.

Aerodynamics

Flight Physics

Lift, drag, and control-surface modeling for VTOL transition — from first principles to validated simulation.

Mathematics

Applied Calculus

Continuous optimization, gradient methods, and control theory — the mathematics that makes autonomy stable.

FAQ

Common questions.

What we build, and how we think about autonomous flight.

What does Fluxion Dynamic Technologies build?

Fluxion Dynamic Technologies Private Limited builds autonomous UAV and VTOL platforms with neural network perception, ROS2 autonomy, and edge AI. The company engineers full-stack autonomy — from custom airframe design to onboard inference on Jetson and Edge TPU.

What technologies does Fluxion Dynamic use?

PyTorch, TensorRT, ROS 2, PX4, OpenCV, CUDA, ONNX, and SLAM for autonomous flight. Onboard compute targets include NVIDIA Jetson Orin, Edge TPU, and ARM Cortex microcontrollers.

What is VTOL and why does Fluxion Dynamic use it?

VTOL stands for Vertical Take-Off and Landing. Fluxion Dynamic builds VTOL airframes that combine the endurance of fixed-wing aircraft with the launch flexibility of multirotors, enabling operations from confined or unprepared sites.

How does neural network perception work on drones?

Deep learning models run directly on the aircraft for real-time object detection, tracking, and anomaly detection on aerial imagery. Inference runs at the edge with TensorRT and ONNX Runtime, avoiding cloud round-trips that would add latency.

How can I contact Fluxion Dynamic Technologies?

Reach us at hello@fluxiondynamic.com, or connect through our LinkedIn page at linkedin.com/company/fluxion-dynamic-technologies.

Building something that flies?

Tell us the mission. We'll tell you what's possible.