Rainbird delivers AI the world can trust
For the last decade, we have pushed the landscape of AI towards trust and explainability. Our goal has been to deliver safe and trustworthy Decision Intelligence capabilities, powered by Explainable AI, suitable for the complex demands of a regulated world.
The Problem We Solve
All organisations have operational teams that make recurring decisions that are inefficient and prone to error – mainly due to bias and noise. This represents a tremendous, if often hidden, cost. Our solutions are proven to avoid the high costs of compliance failures, poor customer outcomes and lost revenues that such human decisions often lead to.
Many have tried to automate decisions with workflow and process automation, and failed due to the limitations of linear rules-based systems. Many have tried to leverage machine learning and failed due to issues of data availably, bias and trust.
We tackled this lack of confidence in AI by building a Decision Intelligence platform that is transparent and explainable, and has trust at its core. We overcame the significant capability shortfalls seen in “data-first” AI approaches and the limitations of linear rules engines.
Today, we empower our clients to leverage the best aspects of the AI landscape and avoid their respective limitations and challenges. The result is a superpower, the ability to automate decision-intensive, complex processes, transform operational efficiency and drive a new generation of AI-powered services.
How We Solve It
We represent knowledge as extended graphs which can be based on formal documentation and/or expert knowledge – with no training data required. These graphs are weighted and can still be refined from data if and when available.
Our symbolic Reasoning Engine then reasons over these graphs, and any data connections, to make evidence-based decisions with trust baked-in.
Rainbird knowledge graphs, are human-readable and easy to interpret, making it simple to identify and remove bias. Decision outcomes are reliable, traceable and explainable, free of the noise that typically impacts human decision-making.
It is our ability to blend the philosophy of human expertise, and the best of data in a single AI model, that is the key to delivering exponential value and a whole new layer of enterprise intelligence.
Rainbird Technologies was founded in 2013 by serial entrepreneur and CEO, James Duez, alongside AI scientist and CTO, Ben Taylor. Over the years, the company has gained the trust of some of the world’s top organisations – from the Big Four and global banks to governments and the NHS.
James and Ben have a visionary goal—to scale this AI-powered Decision Intelligence capability globally, and help enterprises tackle some of their largest problems, all with trust and explainability as standard.
Transform your business into a Decision Intelligence powerhouse
Explore how Rainbird can seamlessly integrate human expertise into every decision-making process. Embrace the future of Decision Intelligence powered by explainable AI.