Be part of the Robotics and AI Industry Showcase - Apply to exhibit

We have spaces for up to 50 businesses to exhibit their innovation in RAI and associated technologies and services. 

Download exhibition and sponsorship packages here.

Register your interest as an exhibitor here.

Tharsus - Headline Sponsor

A product-partner for the emerging and increasing numbers of product owners looking to solve the automation challenges set by industry 4.0.  

We support the creation of Advanced Machines and Robots (AMRs) that have the potential to not only transform their organisation and the way they operate, but to disrupt and revolutionise their entire sector. 

Tharsus is both design service provider and manufacturers. We are partners to product-owners, aligning and orchestrating the complete life cycle alongside our customers and supply chain. We are world class manufacturers building and delivering exceptional quality AMRs at scale.

Long term, mutually beneficial partnerships with our customers are the focus of our relationships. Tharsus navigates and guides customers through every stage of the product development journey, from agreeing the commercial concept for their AMR, through feasibility research, design, testing, prototyping and onto volume manufacture.

For more information, visit


Robotics and Artificial Intelligence are significant globalised technologies applicable to every sector. The UK’s extensive industrial and academic research base has immense potential to impact on home and global markets. The Robotics & Artificial Intelligence Special Interest Group (RAI SIG) addresses this opportunity enabling UK RAI innovators to connect, access markets and showcase their capability.


SCISYS has over 35 years’ experience in developing high integrity software and AI systems for the Space Industry. Our technology has been built to help scientists understand Mars remotely through the eyes of a rover, using our autonomy and AI systems. Reliability and robustness are critical when physical maintenance is impossible, and uncertainty is high.