Ridescan has developed an AI-driven ​anomaly detection solution that enhances ​autonomous systems' safety, reliability and ​efficiency, enabling proactive risk mitigation ​and preventing catastrophic failures.

RevEng.ai is a deep AI framework that detects vulnerabilities across an organisation's cyber security supply chain for proactive cyber defense.

RemePhy (formerly PhytoMines) is developing metal-hyperaccumulating plants to purify contaminated soil and mine heavy metals.

ReactWise is building no-code software for chemical process optimisation in pharma and biotech.

Rahko was a quantum machine learning company that leveraged computational chemistry, machine learning and quantum computing to cut the cost and time of discovering and developing new drugs.

Quidem is a browser-based fact-checker using advanced AI models to verify information from AI assistants and documents, providing a safety net against misinformation and hallucinations for legal and marketing professionals.

Qronon is building a quantum-accelerated machine learning platform that provides extreme weather forecasts beyond two weeks with exponentially less compute than current methods for governments, insurers and enterprises.

Psyrin is developing the next generation of biomarkers for serious mental illness, leveraging AI and speech to build a new preventative care model of psychiatry.

Pometry has developed a temporal graph analytics model that helps companies infer faster and more accurate decisions.

EOS Space Technology develops reconfigurable plug-and-play space propulsion systems to reduce mission costs.

PlantZCare delivers plant-wearable sensors streaming real-time crop health data to provide early, cost-effective insights that reduce waste and increase agricultural yields.

Pipeline Organics is developing higher efficiency enzymatic biofuel cells to generate clean, renewable electricity from wastewater, helping energy-intensive industries to meet net-zero targets and achieve operational self-sufficiency.

The team analyses, recovers and restores lost art with AI then 3D prints it to bring it back to life. Their work is available for purchase through Silicon Valley-based MORF Gallery.

Ovomind has introduced a new way to interact with video games through emotions, classifying biosignals at speed so the game can respond in real time.

ORiS has developed advanced laser transmission technology to enable wireless power for space and defence applications, improving the energy management of satellites already in orbit and enabling extended flight times for terrestrial drones.

Omnibio is developing the first to market biohybrid robotic control system using a combination of neural intelligence and active inference agents.

NEX Health Intelligence is building infection surveillance tools using predictive analytics – to detect outbreaks before they occur, prevent infections from spreading and save lives.

NeuroVirt uses XR technologies to gamify rehabilitation and quantify upper and lower-limb recovery.

Nanu is a cognitive performance AI-powered platform that upskills leaders and teams in the flow of work.

Nanomation is developing a platform that automates routine tasks of nanofabrication using computer vision to enable mass production of nanotechnology-based electronics.

Myriad Wind is developing multi-rotor wind turbine systems that can reduce costs by 20% and increase energy capture. Reduced size and a modular design make it possible to harvest wind power in places where traditional turbines could not generate any, and use recyclable materials such as thermoplastics in turbine blades.

Monoceros provides an easy-to-use, flexible and cost-effective supply chain management solution. Its innovative technology provides information on the real-time location and conditions of monitored packages throughout the entire chain – until the last mile.

MOMO Biotech combines advanced tumour microenvironment models with integrated imaging and multi-omics software to generate precise, AI-ready cancer drug testing datasets.

Milbotix develops wearables and smart socks that can predict agitation in people living with dementia. The socks incorporate sensors to collect data on electrodermal activity, cardiac activity and motion, and the data is transmitted wirelessly to a processing unit where a machine learning algorithm generates a recognition of distress. Stress data is then communicated to carers using a smart device.