Grant discovery and tracking
An AI researcher that watches for relevant grants, filters them against your mission and eligibility, and delivers a shortlist with deadlines straight to where your team already works.
AI for Nonprofits
Most nonprofits don't need more hands. They need fewer manual tasks.
We help nonprofits use AI to take repetitive admin work off small teams, so more of your hours go to the mission and fewer go to spreadsheets, inboxes, and copy paste. We have spent the last several years building working AI systems for founders, agencies, and institutional teams, and running hands-on sessions for people who do not consider themselves technical. We are now focusing that work on nonprofits, because a small team carrying a big mission is exactly where ten hours back a week actually changes something.
The leak
Where the hours usually go
Small teams rarely lose time to one big thing. They lose it to a dozen small ones that repeat every week.
Grant research and deadlines tracked across tabs, spreadsheets, and someone's memory
Donor and volunteer data sitting in systems that do not talk to each other
Foundation and board reports rebuilt by hand every single cycle
Inboxes and form submissions triaged manually, with things slipping through
The same update rewritten for the newsletter, the socials, and the website
Knowledge locked in documents nobody has time to search
What we can build for you
Systems that hand the busywork to software
Each of these is a working system your team owns, not a tool subscription that sits idle.
Donor and volunteer operations
Clean data moving between your donor CRM, forms, spreadsheets, and email, with deduplication, tidying, and appeal follow-ups handled without anyone touching a row.
Reporting that builds itself
Foundation, board, and impact reports drafted from your live data on a schedule, so grant reporting season stops eating the weeks around it.
Intake and inbox routing
Inquiries, applications, and referrals logged, sorted, and routed to the right person on their own, so nothing quietly falls through.
AI assistants on your own knowledge
An assistant that knows your policies, program documents, and past grant applications, so staff and volunteers get answers in seconds instead of hunting through folders.
Secure hosting and maintenance
Where donor or client data is sensitive, setups you host yourself, kept patched, backed up, and monitored, including private AI models that keep your data off third-party servers.
Ways to work together
Types of engagement
Start small. The audit exists so you can find out what's worth building before you commit to building anything.
01
AI opportunity audit
We map where your team's hours actually go and you leave with a ranked list of what AI should take over first, whether or not you build it with us.
02
Build sprint
A focused engagement to design, build, test, and hand over one system that solves a daily pain point, with documentation your team can actually follow.
03
Ongoing support
Retainer coverage for hosting, monitoring, maintenance, and improvements as your programs and funding cycles change.
04
Team training
Practical workshops that get non-technical staff and volunteers using AI confidently in their day to day work, not just talking about it.
How we work
The principles behind every build
Start with the daily pain, not the shiny demo.
The first question is always which manual task eats time every single day.
Tool agnostic by default.
Claude, n8n, Zapier, or a model on your own server. The right one is the one your team will actually keep using.
You own what we build.
Everything is handed over documented, in your accounts, so you are never locked into us to keep it running.
Simple and reliable beats clever and fragile.
Eighty percent running every day is worth more than a hundred percent that breaks on Tuesdays.
Data sensitivity is a design decision.
Where donor or client data is involved, we choose the setup that protects it from the start.
Nonprofit budgets are real.
We would rather build the small thing that gets used than sell the big thing that sits idle.
Start the conversation
A short conversation is usually enough to tell whether AI is worth it for you.
Happy to look at how your team works and tell you honestly if there is nothing here worth building.
- A short call, no pitch deck
- A ranked list of what AI should take over first
- Honest advice, even if the answer is not yet