AI systems formissions that matter.

We build governed AI systems that return capacity to established nonprofits, NGOs, foundations, and associations.

From friction to working system.

We find the right problem, quantify the value, build one governed system, and improve it with your team.

01

Investigate

We map the work, the people, the evidence, and the friction.

02

Quantify

We rank each opportunity by mission value, capacity, feasibility, and risk.

03

Build

We connect your approved data, tools, and controls into one working system.

04

Improve

We measure adoption, value, and quality, then refine what matters.

Where AI can return capacity.

Focused systems for the recurring work behind fundraising, reporting, knowledge, and operations.

Our work speaks for itself.

Live sentimentSources connected

Global Citizen

A clearer view of
the conversation.

We connected Global Citizen’s listening sources through MCP integrations to create one live sentiment dashboard. AI brings emerging themes and shifts in conversation into focus, with the source evidence close at hand. The result is a shared view of what matters, ready for the team to review and act on.

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EvidenceDraftReviewed

DFIN

Stronger proposals.
Less preparation.

We built a proposal workflow for DFIN that brings requirements, approved evidence, and past applications into one place. AI assembles that material into a structured, review-ready draft, with approval kept in the team’s hands. It gives specialists a reusable starting point for each application and more room to focus on the case they want to make.

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More capacity.
More impact.

Non-Profits and NGOs can truly benefit from emerging tech

Senior people, start to finish.

The specialists who shape the strategy stay close through build, adoption, and improvement.

Alexander D'Amore

Alexander D'Amore

Co-Founder & CEO

Leads AI strategy, business-case development, solution design, and delivery.

Thomas Heiberg

Thomas Heiberg

Co-Founder & CTO

Shapes the technical architecture, security, and systems behind every implementation.

Michael Guldborg

Michael Guldborg

Tech Lead

Leads the build, integration, and reliable delivery of each working AI system.

Start with the right problem.

Give us 30 minutes. We will identify where AI could return the most capacity, and whether there is a responsible case to build.

Request a free intro call