Twinexis
Twinexis GmbH provides SkyDev, a virtual development environment that lets engineering teams design, train, and validate autonomous drones and mobile robots entirely in simulation. The platform features photorealistic environments, drone swarm co-simulation, synthetic data generation for AI training, and open interfaces including ROS 2, PX4, and MAVLink. Twinexis also offers engineering consulting services and a universal docking station for autonomous drones.
- Drones & Uncrewed Systems
- Robotics
- Developer Tools
- Artificial Intelligence
- Software Only
- Hardware
- Autonomous Vehicles
- Defense Tech
Funding
Founders
Founder details are not available yet.
Product
Problem
Physical prototyping and testing of autonomous drones and mobile robots is slow, costly, and difficult to reproduce, creating significant bottlenecks in development cycles. Teams often face long iteration times and high expenses when validating robotic systems in real-world environments, which delays time-to-market and limits design exploration.
Solution
Twinexis provides SkyDev, a virtual development environment that lets teams design, train, and validate autonomous drones and mobile robots entirely in simulation. The platform enables fast, reproducible, software-driven iteration, reducing the need for physical test cycles and lowering development costs. SkyDev features a photorealistic environment with realistic or user-defined physics, supports drone swarms and co-simulation of UAVs, fixed-wing aircraft, and autonomous mobile robots in shared scenarios, and generates synthetic data for AI training. The platform is GPU-flexible, meaning it is not dependent on Nvidia hardware, offering broader accessibility for development teams. Twinexis also offers consulting services to help integrate SkyDev with existing customer interfaces and toolchains, and develops a universal docking station for autonomous drones with Pilsenbase s.r.o.
Target Audience
Primary customers are engineering and R&D teams developing autonomous drones and mobile robots, including those in robotics, logistics, agriculture, and defense sectors seeking faster, cost-effective testing solutions.
Features
- Photorealistic virtual environments with realistic or user-defined physics for testing perception, navigation, and control
- Drone swarm simulation and co-simulation of multirotors, fixed-wing aircraft, and ground-based mobile robots in one shared scenario
- Synthetic data generation with automatically labelled RGB, depth, and segmentation outputs for AI training and benchmarking
- Wide range of open interfaces including ROS 2, PX4, and MAVLink for connection to flight controllers, autonomy stacks, and customer tools
- GPU-flexible architecture that does not require Nvidia hardware
- Universal docking station for autonomous drones with no vendor lock-in, zero-maintenance operation, and functionality from −40 °C to +50 °C