The work, and what it changed

Scaling to number 1 in the US market

Boosting reliability and audit-readiness for America’s #1 gaming operator through a modernisation-led AWS migration.

Cloud-native transformation: building scalable, next-generation aviation products

OAG’s data gives critical insight to major global airlines and tracks over 9 billion passengers on daily flights. We rebuilt its flagship product, OAG Analyser, for scale and moved a portfolio of more than 150 legacy applications onto a composable, cloud-based architecture. Our AI-native delivery model then shipped “Ask Analyser”, a natural-language interface, to production.

Delivering a two-to-three year project in a third of the time

Podium’s data feeds power the live betting markets of tier 1 bookmakers across the UK, but its core technology had not been modernised in 20 years. CreateFuture delivered the replacement at half the estimated cost. A single API gateway now lets new customers integrate and test without Podium engineering support.

Twelve weeks to a federally regulated prediction market

Fanatics needed a prediction market live for the NFL season opener, with no engineering team to redirect and no time to recruit one. Our engineers shipped production code within a week, working alongside Fanatics’ team from day one. We delivered a federally regulated trading product on iOS and Android in twelve weeks, even after the underlying exchange had to be swapped late.

The ability to create hundreds of use cases from one foundation

evoke, whose brands include William Hill, 888 and Mr Green, had teams building AI use cases one at a time, and the backlog was outgrowing the people available to build them. We designed and built a single AI platform, connected to evoke’s Snowflake data platform, that brings machine learning, generative AI and automation onto one shared foundation. Any team can now start a new use case from something already built.

A delivery-ready growth roadmap in just eight weeks

Zuto has grown revenue by around 25% a year for four years, but growth was tied to headcount, because each new adviser took months to become fully productive. CreateFuture ran an eight-week AI-native discovery across the business and turned it into a delivery-ready roadmap. Zuto has since appointed us as delivery partner for the programme.

77% AI engineer adoption in eight weeks

PayPoint’s Platform Engineering team had a GitHub Copilot licence for each of its 13 engineers, but almost no usage to show for it. CreateFuture embedded an AI Principal Engineer in the team for an eight-week first phase, pairing structured coaching with workflow automation and hands-on pairing. AI moved from occasional, isolated use to a daily habit the whole team relies on.

Global technology company

500+ engineers AI trained in twelve weeks

Most engineering teams already use AI before anyone formally trains them, and agentic tools mature faster than shared practice. CreateFuture designed and delivered one-day agentic development sessions for more than 500 engineers across four global hubs in twelve weeks, giving every engineer the same practical foundation to build from.