Human Precision Meets Machine

Shaping Tomorrow

Xi-Tech, founded by Munyaradzi Mungofa in the United Kingdom, designs and manufactures advanced humanoid robotics  for diagnostic and repair applications within the automotive industry worldwide. By combining precision manipulation with Ai driven diagnostics, our systems help fleets, service networks and OEMs reduce downtime, improve safety, and extend  lifecycle performance.

Beyond diagnostics and repair, Xi-Tech's humanoids are manufactured to support day to day operations across homes, public spaces and workplace environments, helping to normalise the use of humanoid robotics in everyday life  headquartered in the United Kingdom with a global support footprint, Xi-Tech delivers adaptable solutions that perform detailed inspections, component servicing while delivering real time analytics, and practical operational support across a wide range of applications.

Innovative Robotic Solutions

At Xi-Tech, we have specialize in advanced humanoid robotics integrated with cutting edge Ai technology to diagnose and repair  at an advanced level while utilising AI technology to diagnose and repair. Our team of highly skilled experts is committed to delivering efficient, reliable and innovative servicing solutions for the automotive industry. Based in the United Kingdom we are dedicated to transforming and adapting the way automotive industry diagnoses and repaires in an efficient manor at less cost for customers with high accuracy while also cutting labour costs for businesses we work with and offering companies the ability to ensure their customers products are always protected and customers can have access to diagnosis to repair 24/7 which brings a better sustainable business practice. 

"Robotics for Auto Repair"

At Xi-Tech, we specialize in utilizing humanoid robotics and AI to provide top-quality diagnostic and repair services for electric vehicles in the automotive industry. Our cutting-edge technology and expertise allow us to efficiently and accurately diagnose and fix any issues with your electric vehicle, ensuring a smooth and hassle-free experience for our clients. Trust us to keep your vehicle running at its best.

• Diagnostic assessments
• Robot-assisted repairs
• AI-powered troubleshooting

Revolutionizing Auto Repair

At Xi-Tech, we specialize in using state of the art humanoid robotics and AI technology to diagnose and repair in the automotive industry Xi-Tech has been the first humanoid company world wide that has been able to successfully implement the manufacturing of the humanoids that can archive these services. Our team is dedicated to providing efficient and effective solutions for all humanoid needs we are committed to pushing the boundaries of innovation in the humanoid industry.

"Full stack humanoid" not a general-purpose robot adapted for EVs, but a specialized mobile mechanic optimized from the ground up for roadside and fleet environments.

Brain & AI: The system uses 2026 state of the art vision language action (VLA) models combined with reinforcement learning and imitation learning. It interprets natural-language service requests, processes real-time multi-camera and LiDAR data, and executes dexterous repairs (battery diagnostics, software updates, minor mechanical fixes) with human-like precision.

Body Hardware: The 1.85 m platform features lightweight carbon-fiber composites, high-torque electric actuators with 28+ degrees of freedom, redundant force/torque sensors, and a 2026-generation battery delivering up to 8–10 hours of active service time—more than enough for multiple roadside calls per shift. Modular quick-swap tool arms allow rapid switching between diagnostic probes, high-voltage tools, and repair kits.

Proprietary Data Loop: Every deployment feeds anonymized, privacy-compliant sensor and outcome data back into our training pipeline. This creates a powerful flywheel: real-world EV roadside scenarios (wet roads, uneven surfaces, mixed vehicle models) continuously refine the AI, delivering compounding performance gains that generic or lab-trained robots cannot match.

Mary Mitchell, BMW, Nottingham, United-Kingdom