Building the future of donor intelligence

Nonprofits are drowning in software. The average major-gift shop runs six to ten tools to do one job — find donors, research them, cultivate them, and ask. The wealth screen is refreshed twice a year. The CRM goes stale between screens. The research brief is a Google Doc a prospect researcher hand-assembled over three hours. The major-gift officer walks into a seven-figure ask meeting with data that was current in February.

This is the state of a half-trillion-dollar industry. American nonprofits raise more than $550 billion a year, and most of the technology behind that number was designed for an era of batch files, quarterly screening cycles, and researcher-led workflows. It was built when the modern data warehouse was a new idea and AI meant a paperclip in Microsoft Office.

The incumbents — Blackbaud, iWave, DonorSearch, WealthEngine — each built strong businesses in that era. But none of them are what fundraising teams need next.

Triple is not another point solution. It is the donor intelligence platform that major-gift teams should have had a decade ago — built AI-first, unified across the research workflow, and designed so that fundraisers, not researchers, drive the tool.

We treat research as a continuous background process, not an annual event. We treat a donor record as a living artifact that updates when the world changes, not a frozen snapshot from a February screen. We treat a research brief as a two-minute pre-meeting read, not a three-hour project. And we treat the CRM as a system of truth that should always reflect reality.

Donor intelligence is what happens when every prospect is continuously researched, every brief is ready on demand, every alert fires the week something happens, and every fundraiser gets the answer they need in seconds instead of days.

• Nonprofits never spend a quarter re-screening their file. Records refresh continuously, in the background, without human intervention.
• A fundraiser walking into a meeting pulls a two-page brief in thirty seconds — not three hours.
• When a prospect sells their company, the MGO finds out within days. Not six months later when someone else's named gift hits the paper.
• Prospect researchers stop assembling profiles and start doing the high-judgment work only they can do: cultivation strategy, family mapping, complex estate planning research.
• Search is conversational. “Who in our pipeline has sold a company in the last year and lives within 200 miles of campus” is a question you ask, and get answered, in seconds.
• The CRM stops being a graveyard of stale records and becomes a live system of truth.

To build a platform like this, you cannot bolt AI onto software designed twenty years ago. You have to start over. You have to rethink what a donor record is, what a brief is, what a pipeline looks like, and what a fundraiser's day should feel like. That is the work we are doing.

The legacy donor software industry did not grow on user delight. It grew on path dependence. Once a $500M university migrated to Raiser's Edge in 2005, moving off of it became a three-year project. Once a healthcare foundation trained its researchers on a particular scoring methodology, replacing it meant retraining a team. Once a CRM became the system of record, changing data vendors touched a dozen integrations.

These are not signs of product excellence. They are switching costs. They are the reason nonprofits in 2026 are running tools that were architected in 2008 and refreshed cosmetically since. The incumbents have every incentive to keep it this way.

We are not playing that game. Triple earns its place every week. Pricing is simple. Integrations are bidirectional and reversible. Your data is yours, exportable at any time. If we stop being useful, we want it to be easy to leave. That is how you build a product customers stay with because they want to — not because they are stuck.

Our story is still being written. But our conviction is clear. The future of fundraising will not be built by the companies that sold screening tools in 2008. It will be built by the teams that rebuild the category AI-first.

If you are a fundraiser who has walked into a meeting under-briefed, or a researcher who has assembled the same profile for the fifth time, or a development director who watches seven-figure prospects sit in a portfolio for years — you already know the problem. We are building the answer.

If you are reading this, you are part of that story. Let us redefine what donor intelligence means.