Built by people who know where programme time actually goes.
After a decade building data and reporting systems with social-sector organisations, we created the AI engineering partner we wished those teams already had.
For over ten years we built data and reporting systems across the social sector. We repeatedly saw capable teams buried under admin, fragmented knowledge and software that never quite fit.
As AI became more capable, most teams still lacked the engineering capacity to apply it to real programme work. everyimpactAI combines sector context with hands-on implementation. We start with an operational problem—not a generic AI product.
10+ years
Inside the social sector
100+
Organisations served
3
Continents deployed
Social-sector technology should fit programme workflows, evidence requirements and operating constraints—not the other way around.
That is the standard everyimpactAI is built to meet.
Social-sector context first. Engineering accountability throughout.
We choose models and tools around the organisation's workflows, security environment and constraints. The goal is specific work that becomes faster, more reliable and easier to govern.
We document what we deliver and improve it from staff feedback.
Domain credibility first
We've sat in the programme meetings and written the donor reports. We know where the time actually goes — and we build for that, not for a demo.
Technical rigour, not theatre
Real engineering — Claude, Qdrant, MCP servers — not a thin wrapper around a prompt. Procurement teams can interrogate every layer.
We stay accountable
Forward-deployed means our name is on the outcome. We don't hand over a slide deck and disappear.