We provide the infrastructure that enables funders, commissioners, and support agencies to see clearer evidence, stronger narratives, and more consistent decision-ready insight across the social sector.
Where traditional systems fragment data, reporting, and evaluation, an AI-first infrastructure approach allows impact to be captured once, structured properly, and communicated consistently — without changing how organisations work day to day.
Built for funders. Trusted by intermediaries. Designed for scale.
Register Your Interest →Our Approach
Not AI-assisted. Not AI-enhanced. Built from the ground up with AI at the core—designed specifically for the realities of social sector organisations.
Across the social sector, the same structural challenges appear repeatedly:
Inconsistent impact evidence across organisations
High reporting burden with low comparability
Narrative quality varying widely between applicants
Insight locked in documents rather than systems
Support agencies stretched thin trying to standardise outcomes
The problem is not effort or intent.
It is the absence of shared infrastructure that connects evidence, insight, and communication into a coherent whole.
Without that infrastructure, even well-funded programmes struggle to see what is truly working.
Most digital solutions focus on individual organisations adopting new tools.
CivicAI is built on a different premise:
When funders and commissioners shape the infrastructure, the entire ecosystem benefits.
An AI-first infrastructure approach enables:
This is not about experimentation.
It is about making existing effort more visible, comparable, and useful.
When evidence, evaluation, and narrative sit on a shared AI-first foundation:
Funding decisions gain clarity through comparable insight
Reporting becomes proportional rather than repetitive
Impact stories improve in quality and consistency
Support agencies increase throughput without sacrificing standards
Commissioners gain portfolio-level visibility instead of isolated snapshots
The result is not more technology, but better decision conditions.
Early-stage funding and support decisions depend on clear signals:
A structured intake infrastructure enables:
For support agencies and accelerators, this creates a shared intake language that aligns participants, advisors, and funders from the outset.
Impact reporting often fails not because activity is weak, but because translation is poor.
An AI-first narrative infrastructure enables:
Activities, outcomes, and evidence to be connected coherently
Different stakeholder views to be generated from the same source
Board, funder, and public narratives to remain aligned
Learning to accumulate over time rather than reset each cycle
This strengthens trust, reduces friction, and improves continuity across funding rounds.
CivicAI is being developed using an AI-first, agentic infrastructure approach that prioritises:
The aim is not to disrupt the sector, but to stabilise and strengthen it using modern infrastructure principles.
Our flagship product: an AI-first toolkit designed specifically for Community Interest Companies and social enterprises. From idea validation to impact storytelling.
Request Early Access →Objective AI-powered evaluation of your venture's funding readiness, market positioning, and strategic clarity.
Work through 24 critical questions across 6 domains with AI advisors trained on social enterprise best practice.
Generate compelling narratives for funders, commissioners, and stakeholders—from elevator pitches to detailed cases.
We are opening early access to:
Early participants will help define:
Register interest to participate in early discussions and pilot activity.