Outcomes, not outputs

The sales team needed audience intelligence that could hold its own in a room with major global brands. Generic viewership data was not enough.

Lenderhive was operating on paper-led forms, manual document verification and a siloed CRM with no unified client view. Every application required significant manual handling at a time when they needed to scale.

A UAE government body running a high-profile national competition needed to move from manual review to AI-powered scoring — at speed and within strict governance constraints.

Atlantic Records and Warner Bros needed a more rigorous way to identify breakout artists and inform touring decisions. Booking confidence was being driven by instinct rather than evidence.

askKira wanted to revolutionise how teachers mark and assess student work — combining conversational AI with vision capabilities in a product that had never been built for the education sector before. The platform needed to integrate securely with existing school data infrastructure.

AB InBev was preparing to launch Leffe across new European markets and needed to understand whether its existing positioning would translate — or require a fundamentally different approach.

Moore Barlow's senior partners had a strong intuition about patterns across their caseload but no systematic way to validate or act on it. Annual strategy days were being driven by anecdote rather than evidence.

Terraverde is a registered CIO working at the intersection of housing, energy efficiency, financial wellbeing and health inequality — with a mission to help lower-income households improve their home environment and build long-term financial resilience. They needed a technical partner who could translate a complex, multi-disciplinary vision into a coherent, working platform — and help position it credibly for grant funding and institutional pilots.