Services
Built for the work your team already does.
Most charities are carrying more operational work than they have people for, and most of it is buried in notes, inboxes, forms and spreadsheets. We build production AI that takes that work on, one task at a time, with a person signing off every output and a trail behind every decision. Start with the team closest to where the work sits in yours.
What you end up with is software you own and we run - an agentic management system: the routine tasks done by AI agents, every output signed off by a person, on a dedicated, isolated deployment. The code and the data are yours, exported in full whenever you leave - no lock-in. We start with a short discovery to shape what it should take on; everything after that is building it, running it, and keeping it working.
The menu
Pick your team.
Service delivery
The team that delivers the mission - operations, frontline and helpline alike. Making sense of what's coming in, in time to act on it.
Funder reporting
Grants managers and programme directors signing off claims they can defend down to the source row.
Fundraising
Donor managers and major-donor leads writing to real people, not segments - every line traceable to a gift, a conversation or a preference they told you. You set the brief; a person signs off.
Beneficiary insight
Research and service teams trying to understand the people they're there for - what they're saying, what they need, and who isn't being heard.
Communications & knowledge
Communications, policy and knowledge teams getting value out of large bodies of content - digitising it, making sense of it, and publishing from it.
Underneath all of them
Different teams, one engine.
Whatever the team, the work underneath is the same: read the mess, make sense of what connects to what, keep a person in the loop, and leave a trail behind every step. And it doesn't much care whether that's ten records or ten million.
How we work
How it gets built, run and governed.
Same engagement shape, same governance posture, whichever team you start with.
How we engage
Discovery has tiers and prices. Build and ongoing care vary too much to put a number on a page. Here's the shape of an engagement and the reference points for what work has actually cost.
Governance
Software you can defend to your board. Data residency, audit by design, multi-role HITL, governance generated from the same source as the software itself.
How we compare
Three things charity directors are reasonably comparing Loop to - a ChatGPT subscription, the AI features in their existing platform, and building it in-house. None of these is the wrong answer by default. Here's how we'd describe the trade-offs.
How we build
A deliberate hybrid. Probabilistic where unstructured language and judgement live; deterministic where defensibility lives. Loop is the orchestration layer between them, calling each existing system through its own API rather than building bespoke integration pipelines.
Worth a conversation?
If one of these is close to where the work lives in your charity, do get in touch. We'll be honest about whether there's something here worth building - and if there isn't, we'll say so.