Our Story

We built the tool we wished existed

StoryFoundry AI was born from a simple frustration: the organisations doing the most important work in the world were spending their time rewriting the same message over and over — for donors, for governments, for the public — instead of delivering on their missions. We are here to change that.

Our Mission

To give every NGO, government, and social organisation the communication power of a world-class editorial team — at a fraction of the cost and a tenth of the time.

What We Stand For

Principles that shape every decision

Mission-first design

Every feature we build is evaluated against one question: does this help people doing important work communicate better? Technology is the means, not the end.

Sector expertise, not generic AI

Our models are trained on nonprofit communications, philanthropy research, and policy frameworks. Not scraped internet text. The difference shows in every output.

Built for global impact

From WASH programmes in rural Kenya to climate policy briefs for European parliaments, StoryFoundry AI is designed to serve organisations operating at every scale and geography.

The Team

Meet the founders

Two people with complementary obsessions: one with the stories that move people, and one with the systems that make them possible.

Maya Mehrara, Chief Executive Officer

Maya Mehrara

Chief Executive Officer

Maya founded StoryFoundry AI after working closely with NGOs that were spending more time rewriting reports than delivering impact. Through her experience in journalism and nonprofit communications, she saw a consistent gap: organisations had strong data, but no scalable way to turn it into clear, credible narratives. She is driven to build tools that transform fragmented information into structured, evidence-based storytelling.

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Agnese Enrica Picchio, Chief Technology Officer

Agnese Enrica Picchio

Chief Technology Officer

Agnese leads the technical development of StoryFoundry AI, building the systems that turn unstructured data into structured, usable outputs. With experience in data analysis and scalable system design, she focuses on creating robust infrastructure that can support high-volume, real-world use cases.

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