Work
We keep the specifics deliberately limited — most of our work sits inside enterprise teams under NDA. What we can share is who we work with, the themes that run through our engagements, and the kind of project we typically take on.
Clients
Most engagements are multi-quarter and ongoing. Below are the organisations we've delivered for, or are actively delivering for — references available on request.
UK media — radio, podcasts, outdoor
News, sports & content syndication
Stock imagery & content platform
Alongside client work, we open-source the checks we want to see in every production RAG system: declared identity × source boundaries, deterministic evidence, and regression reports that fit CI.
Themes
The exact systems differ by client, but the shape of how we engage stays consistent — your own infrastructure, your own data, a measured rollout, and adoption that lasts.
Theme · 01
A shared, secure AI workspace for everyone in the business — running on infrastructure you control, with the models, integrations and agents that suit your teams.
Theme · 02
Agents and copilots inside the systems your team already uses — drafting comms, triaging requests, summarising the things nobody has time to read.
Theme · 03
Search, vision, generation and summarisation, embedded inside the platforms you sell to your own customers — production-grade, observable, owned by you.
Engagement examples
Anonymised illustrations drawn from real engagements — different industries, a similar shape. If yours resembles one of these, we'd welcome a conversation.
A self-hosted, multi-model AI platform stood up for a large content company — wired into their identity, their internal sources, and their editorial and marketing workflows. Phased rollout, hands-on training, retainer to keep it growing.
A private workspace and a set of editorial agents for a wire-service business — fast turnarounds, internal context plumbed in, and source material that never leaves the perimeter. Designed to fit the way newsrooms actually move.
A private AI workspace rolling out across an international hotel group, department by department — guest comms, marketing, operations, finance — with multi-language support baked in and clear governance for a multi-country business.
An AI layer wrapped around a large content platform — search, metadata, contributor support and editorial review — designed to stand up next to a content library at internet scale, and a private workspace for the teams who run it.
We're selective about the engagements we take on. Our best work comes from partnering with leaders who know what they want from AI — and are candid about what they don't. If that sounds like you, we'd like to hear from you.
Next step
Most engagements begin with a 30-minute call. We'll discuss what your team needs from AI, walk you through how we typically run this kind of work, and give you an honest assessment of whether we're the right partner for it.
