A sample of our work, not a full list: three programmes backed by public research funding, and three platforms delivered for clients.
Three programmes backed by public innovation funding, developing capability the market doesn't yet offer
Subsurface mapping fails routinely. Three of every five holes drilled for roadworks land in the wrong place, driving delays, safety incidents and emergency repairs that cost the UK economy millions each year.
Survey technology is fragmented. Transport authorities deploy several separate systems, each with limited penetration depth and poor environmental resilience, and none of them monitor bridge foundations, railway embankments or buried utilities continuously.
Monitoring systems are exposed. Critical infrastructure data often moves without robust cybersecurity protocols or clean integration, creating vulnerabilities across transport networks.
S2S-Transport integrates quantum gravimeter technology with AI-driven analysis to monitor underground infrastructure and surface foundation conditions simultaneously, from a single deployment. Our proprietary algorithms use physics-informed machine learning to decompose complex gravity signatures, identifying buried utilities, foundation instabilities and construction hazards with enhanced accuracy.
Recyclers and reprocessors hold the process data that would make recycled polymer quality predictable. That data is commercially sensitive and stays behind the factory gate, so models are trained on too little of it and quality assurance stays reactive rather than predictive.
FedPLAST applies federated learning so participating sites contribute to a shared predictive quality model while their raw process data never leaves their own systems.
Commercial systems delivered alongside our research work
A top UK-China logistics company faced critical inefficiencies in their international shipping operations, resulting in delayed deliveries, increased operational costs, and reduced competitiveness in the rapidly expanding UK-China trade corridor.
OrBro architected a comprehensive analytics platform powered by advanced AI algorithms, implementing predictive modeling for route optimization, demand forecasting, and intelligent resource allocation across the entire logistics ecosystem.
A top-three global healthcare company required GDPR-compliant AI diagnostic software capable of international deployment while maintaining the highest standards of data privacy, regulatory compliance, and diagnostic accuracy across diverse healthcare systems.
OrBro designed and developed a comprehensive AI diagnostic platform with advanced machine learning algorithms, robust security frameworks, and scalable architecture optimized for global deployment across multiple regulatory environments.
A major property investment firm managing £3M+ portfolios required sophisticated predictive analytics to optimize investment decisions, manage risk exposure, and ensure compliance with increasingly complex financial regulations across multiple jurisdictions.
OrBro implemented a comprehensive predictive analytics platform combining market intelligence, advanced risk assessment models, and regulatory compliance frameworks to provide data-driven investment insights while maintaining strict adherence to financial regulations.
The same approach across funded research and commercial delivery
Deep analysis of your challenges and strategic objectives
Scalable, secure solutions tailored to your industry
Agile deployment with continuous testing and validation
Ongoing support and continuous improvement
We take on commercial delivery and grant-funded research, and we're open to consortium partners for both. Tell us what you're trying to solve and we'll tell you whether we're the right people for it.