Is the right information in your room?

Thri3 is an open, public-interest structure designed to help make philanthropic information more useful before decisions are made.
It integrates fragmented information into governed, traceable, issue-level views so donors, funders, and other decision-makers can better understand what communities are experiencing, how institutions are responding, and how resources are moving.
At the center of this work is the Thri3 Data Analysis Index (T3i), an AI-supported system built to organize information across six issue-level decision areas: conditions of need, institutional response, capital flows, community-level signals, contextual factors, and organization-level role and fit.
Thri3 is not designed to replace existing platforms. It is being built as a translation and integration layer that helps bring fragmented information into one clearer, more reviewable issue-level view before resources are allocated.

Thri3 grew out of a recurring problem: important decisions were often being made without a clear understanding of how community conditions, institutional response, and capital flows connected.
What began as an effort to address that gap evolved into a broader public-interest system designed to make social systems more visible, accountable, and easier to understand. Over time, Thri3 developed into a layered structure that includes a nonprofit arm to protect the mission, a Lab to test and refine the method, and the Thri3 Data Analysis Index (T3i) as the core observational infrastructure.
As the work matured, the purpose became more defined: to build a framework that could bring fragmented philanthropic information into governed, traceable, issue-level views before resources are allocated. Instead of relying on a single source of information or one institutional viewpoint, Thri3 was designed to support a fuller understanding of how need, response, resources, context, and organizational role connect across the broader issue landscape.
Today, that history continues into a new phase. Thri3 is developing the T3i Issue Intelligence Repository as a net-new infrastructure environment for issue-level decision preparation. The goal is not to replace the many strong tools already in the field, but to build the governed integration layer that helps bring their fragmented inputs into one clearer, more reviewable issue-level record before final decisions are made.

Thri3 is still being built, but its direction is clear. The work ahead is focused on turning a document-based method into a working issue-level decision infrastructure that can organize fragmented philanthropic information into governed, traceable, and reviewable issue-level records.
The next phase is centered on the development of the T3i Issue Intelligence Repository — a net-new environment designed to bring together community conditions, institutional response, capital flows, community-level signals, contextual factors, and organization-level role and fit in one clearer view. AI is central to that infrastructure, but always within boundaries that preserve provenance, human review, and decision-making authority.
As Thri3 grows, the goal is not to replace the strong tools already in the field. It is to help connect them through a more useful issue-level structure before resources are allocated. The long-term aim is to support stronger accountability, clearer visibility, and better decisions across the social sector.

I’m Mary Louise Santacaterina, and I started Thri3 because I believe public-interest information should be transparent, interoperable, and useful before decisions are made. For fifteen years, I worked inside the philanthropic system writing proposals, reports, applications, and compliance narratives that helped nonprofits become visible, credible, and fundable. That work showed me how much of the sector’s information depends on what organizations say about themselves, organized through their missions, language, and funding needs. That organization-level lens is necessary, but it is not enough.
The United States has more than 1.9 million nonprofit organizations, yet the sector still has no shared, governed way to see whether all of that activity is resolving the issues it claims to address. We can count organizations, grants, reports, outputs, and ratings. We are much weaker at connecting need, response, capital, context, community-originated information, and organizational role before resources are allocated. I have seen strong organizations struggle when they scale beyond capacity. I have watched services duplicate instead of merge, partner, or exit. I have seen programs reshape themselves around available funding even when that pulls them away from mission. Those are not isolated problems. They are symptoms of a system that rewards organizational visibility over issue-level clarity.
I started Thri3 because I believe more reports, dashboards, applications, profiles, and AI summaries do not create better decisions if the underlying information remains fragmented, delayed, inconsistently labeled, weakly traceable, or unevenly governed. Thri3 is my response to that gap: an open, public-interest structure that integrates fragmented philanthropic information into governed, traceable, issue-level views before resources are allocated, while protecting sensitive data, community-originated information, and human decision-making authority.

Thri3 is not being built on the assumption that the field is empty. Philanthropy already has strong tools for nonprofit intelligence, grant workflows, donor guidance, capital-flow visibility, stakeholder intelligence, and community/context data. The problem is not that the pieces do not exist. The problem is that they remain fragmented across different platforms, data models, and decision processes.
What sets Thri3 apart is its focus on integration before allocation. It is being built to bring community need, institutional response, capital flows, context, community and stakeholder signals, and organization role and fit into one governed, traceable, issue-level view before resources are allocated.
Thri3 is not designed to replace the existing ecosystem. It is being developed as a translation and decision-preparation layer that can work alongside strong existing systems while helping users see the larger issue picture more clearly.
The goal is not simply to add more data or another recommendation layer. The goal is to create a more reviewable and decision-useful structure so that funders and other decision-makers can work from a fuller understanding of the issue before final decisions are made.
We use cookies to analyze website traffic and optimize your website experience. By accepting our use of cookies, your data will be aggregated with all other user data.