We specialise in integration scenarios around robotics and Reality Capture with mixed reality. Our solutions include AI capabilities with sensor-based anomaly detection, and fleet management for the Internet of Robotic Things.
We develop innovative software solutions for autonomous systems with a focus on edge computing and software-defined systems using highly complex algorithms and powerful controllers for maximum performance.
We offer comprehensive AI services, especially in the areas of computer vision and deep learning. This includes data identification, selection of a suitable architecture, training of the neural network, optimisation of the models, path planning and motion prediction.
We develop No-Code platforms to integrate AI-Skills and configure Robot's Autonomous Missions. We embrace AI to simplify Human-Robot interaction and allow Users to operate and monitor robots focusing more on the value added by the automation.
Explore Reply's pioneering AI-embodied agents simplifying robot control, showcased through the Spot case.
Thanks to a drone solution from Autonomous Reply, the Neue Energie West solar park now benefits from efficient, AI-supported monitoring - completely autonomously and around the clock.
This solution makes it possible to centrally manage and remotely control drones and robots (AMRs) from different manufacturers, enabling fully automated data collection and analysis thanks to AI.
Roboverse Reply has received the “Best Performance” award in the Recon Challenge at the European Land Robot Trial (ELROB) 2024, demonstrating how autonomous mobile robots enable remote reconnaissance missions.
Roboverse Reply, specialises in integrating Robotics and Reality Capture with Mixed Reality, has won the Advanced Industrial Robotic Applications (AIRA) Challenge for the second time in a row. The competition invited world-leading experts to develop innovative solutions for enabling the remote control of mobile robots during autonomous inspections in production environments.
Reply announces that Roboverse Reply is leading the EU-funded "Fluently" project. The project aims to create a platform that fosters real social collaboration between humans and robots in industrial settings by leveraging the latest advancements in AI-driven decision-making.