Our mission is to deliver AI the world can trust.
Rainbird automates high-stakes decisions with the consistency and traceability that regulated environments demand.
A suitability assessment, a sanctions review, a claims decision, a compliance judgement, an eligibility check or a tax treatment needs more than a confident response. It needs a clear rationale, a reliable outcome and an audit trail that stands up to scrutiny.
This is where existing approaches fall short. Rainbird was built for that gap.
Only Rainbird meets all five.
The great fork in AI sent nearly everyone toward language models. Rainbird went toward decisions: knowledge you can read, reasoning you can prove, judgement you can defend. Today the world is discovering that language models should never own the decision.
James Duez and Ben Taylor start Rainbird on one belief: the most important decisions in an organisation should rest on knowledge that can be inspected, tested and governed.
The engine matures into a symbolic reasoning platform that models how experts actually decide, not just what the data correlates with.
The groundbreaking paper “Attention Is All You Need” gives machines language, and the industry follows it. Rainbird stays on the other fork: judgement you can prove, decisions you can defend.
Professional services, insurance and banking deploy Rainbird against live operational decisions, with evidence trails built for audit.
Language models need a decision layer they can call. LLMs handle language; Rainbird handles judgement: the deterministic reasoning layer beneath agentic systems in regulated industries.
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Founded
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Years of symbolic reasoning R&D
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Percent of decisions traceable
Since 2013 we've been turning expert judgement into decision systems that run in production at some of the world's most regulated businesses. That takes engineering, and people who know how large enterprises actually change.
CEO, Founder
A serial entrepreneur, technology innovator and investor with over two decades of experience. James has served as CTO for several businesses, including a successful automation venture; Rainbird is the fifth business he has co-founded. He is a member of the Forbes Technology Council.
CTO, Founder
A renowned authority in artificial intelligence with over 20 years in Symbolic AI. Ben was a computer scientist at Adobe and contributed to an award-winning AI insurtech business. He holds a BSc in Computer Science and AI from the University of Sussex and sits on the All Party Parliamentary Group on AI.
Chief Revenue Officer
A SaaS scale-up leader with over 30 years building high-performing go-to-market organisations. The first US executive at UiPath, he has also held senior roles at Accenture, HP Enterprise Services and EzGov. At Rainbird he leads global commercial strategy.
The beating hearts and brains of the business, evolving our deep technology and platform so the offering keeps improving.
Onboarding and training new clients, and helping them hit their goals through professional services and support.
Consultative account management, workshops and educating organisations on what Rainbird can do for them.
Marketing, business development, partnerships, branding, communications and product direction.
To build AI people can trust, we have to work in ways that earn trust, with customers, with partners and with each other.
We measure ourselves by the outcomes our customers achieve. Issues surface early and nothing ships that we would not defend in front of a regulator.
Trust is why people here take ownership. Colleagues rely on each other to deliver high-quality work and to share what they learn.
We talk about our work honestly, with each other and with customers. Clear claims, verifiable evidence, no spin.
Progress comes from trying ideas, learning from them and improving in the open, rather than waiting for perfect certainty.
We support one another and treat a colleague's success as the whole organisation moving forward.
When high-stakes decisions need AI that can be justified, Rainbird is the trust layer for the AI era.