Rainbird models human reasoning and applies it wherever there are pressured, time-intensive and complex decisions to be made. It provides an audit trail for every decision, making it ideally suited to any regulated industry. So far we’ve transformed outcomes in finance, banking, insurance, health, professional services, and law.


Banking & Finance

Whether via building intelligent Rainbird-powered chatbots, or harnessing Rainbird to innovate new methods of online trading, businesses are ensuring they don’t miss out on this trend.


The insurance sector is on the verge of a seismic shift. Our AI-powered automated decision-making platform can ensure faster, more accurate liability decisions, so that when an accident takes place, customers pay no more than they should.


This is an industry in which oceans of time is taken up by exhaustive manual tasks – endless contracts and legislative documents to be reviewed.

By automating the process of reviewing legislation and identifying customer needs, Rainbird is a tool that can allow lawyers to focus on doing what they do best: using their nous and know-how to offer a great customer service.


Our customers are able to model a Rainbird-powered fraud engine representing the company’s best-practice procedures, capable of handling multiple concurrent transactions simultaneously and consistently. It’s the only way to effectively handle the volume and frequency of potentially fraudulent transactions hitting a business.


At large accounting firms, highly skilled specialists carry out tax judgements on behalf of their clients, but the assessment process is manual.

By combining financial assessment data with modelled human expertise, Rainbird can make complex judgements based on a combination of real-world experience, applicable rules and regulations and client-specific data. What’s more, it can do this at scale.


By encoding the expertise of health specialists in a Rainbird knowledge map, patients can have access to tailored treatment plans in a process that would previously have been too expensive and time-consuming to be offered at scale.