Rubicon has changed technologies many times. The underlying principle has not changed once.

Founded by Alistair Hancock in Cambridge in 1989, Rubicon has moved from early membership systems to enterprise web platforms, rules engines, AIM public-company life, long embedded partnerships, and now AI adoption and decision intelligence.

Origin

Start with the business problem. Build the technology to solve it.

Rubicon began with RSAMS, a fundraising and membership system built while Alistair Hancock was studying Computer Science at St John's College, Cambridge. It was a modest first product, but it established the logic that still defines the company.

What computers are capable of has changed dramatically since 1989. The mission has not: getting computers to do what they are best at so people have more time for what they are best at.

History

A company shaped by repeated pivots and long memory.

Rubicon's history matters because the current AI proposition is not a clean-sheet reinvention. It is the latest expression of capabilities that have been built and tested in real operations for decades.

1989-1994

RSAMS, charities and associations, and the first proof that business logic can be encoded faithfully in software.

1994-2002

ACAS, BAE Systems, ICI Paints, DuSpec, DFinity, Borland Application of the Year 2000, CRM Innovation of the Year 2001.

2002-2011

Financial-services pivot, Accelerator rebuilt as a rules and workflow platform, Norton Finance signed, and AIM flotation in 2006.

2011-2024

Private again, deeper embedded relationships, including a 14-year development partnership with Segen.

2024-now

Anchor, Sabre, and a focused AI adoption consultancy grounded in accountability and delivery discipline.

Principles

The same things still matter: judgement, accountability, and staying useful.

Rubicon has kept notable clients for eight, fourteen, and twenty years because the work is not organised as short-term theatre. Advice, engineering, and responsibility stay connected.

Problem first

The answer may be AI, a rules engine, a workflow system, or something simpler. The discipline is in choosing correctly.

Product-builder mindset

Rubicon has built products since 1989, so recommendations come from shipping and running systems, not just specifying them.

Long-term accountability

Institutional knowledge is retained because the work is not thrown over the wall after the project phase ends.