Analytics for public media
Prove what your station is worth — before the next budget session.
Infalytics connects your audience, membership and digital data and answers questions in plain language. Built for public media teams with no analyst and five funders to satisfy.
Your data does not reach an AI model unless you turn that on. New accounts start with it off — the model can see that a column is called “gift_amount”, not what is in it.
The year you have had
Federal funding ended. State appropriations are being cut. Your team is smaller.
And you still owe the legislature, the board, the foundations and every member an answer about what you did with their money.
The problem, concretely
You do not have a reporting problem. You have twelve systems.
Each one is authoritative about a sliver of your audience and none of them agree on a date format, a geography or what counts as a listener.
How it works
Connect, ask, publish.
- 01
Connect
Sixteen connectors, or drag in the export you already download every month. CSV, Excel, PDF, Microsoft Access, and the stacked-section exports your finance system produces.
- 02
Ask
Type the question the way you would ask a colleague. The system picks the analysis; deterministic code does the arithmetic and shows its working.
- 03
Publish
Pin the answer to a dashboard your board, your government-relations lead and your development director can each open — and export it to PDF when the meeting needs paper.
Why the numbers hold up
The AI picks the analysis. It never does the arithmetic.
Ask the same question twice and you get the same number. That is not a tuning achievement — it is the architecture.
What a model is allowed to see
Five modes. New organisations start on the second.
| Mode | What the model can see |
|---|---|
| Disabled | Nothing at all. |
| Metadata onlydefault | Column names, types and shapes. Never a value. |
| Sampled data | A bounded sample of values. |
| Full authorised data | Values, where your organisation has authorised it. |
| Local model only | Anything — but only a model running inside your deployment. |
Alongside the mode, an organisation pins which providers and models are permitted, a maximum monthly spend, and whether data may be processed outside an approved region. Every change is written to an audit log. If your policy is that donor records never leave the building, a local model satisfies it.
The full governance page — written to be forwarded to an IT director, including what is built versus what is certified.
Where to start
Four things stations are using it for right now.
Each one is a real reporting deadline, not a feature. Pick the one with the nearest due date.
- UC-1
The legislative impact report
County-by-county proof, ready before the session opens.
Executive Director · Government Relations
- UC-2
Surge donors into sustainers
Find out which of 2025’s new donors will renew — while you can still act.
Development Director · Membership Manager
- UC-3
The board packet
Three days of deck-building becomes an afternoon — every month.
Chief of Staff · Executive Assistant · Executive Director
- UC-4
What to cut, safely
Rank every programme on what it costs and what it earns.
Programme Director · Chief Operating Officer · Chief Financial Officer
Six more are in development — one audience number across every platform, grant reporting and prospecting, proving value to underwriters, education and outreach impact, emergency service value, pledge drive optimisation. Tell us which one you need first.
The four things you are thinking
Objections, answered plainly.
+We cannot afford new software this year.
Neither could most of the sector. Pricing is set for public institutions, and if a grant cycle is your constraint we will work to it. The first dashboard we build for you is free and yours regardless of whether you continue.
See pricing →+Our data is a mess and nobody has time to clean it.
Cleaning is part of the product, not a prerequisite. Every file is profiled on arrival — what is missing, what is malformed, what is duplicated — and cleaning steps are suggested for you to preview before anything is applied. Messy exports are the normal case here.
How cleaning works →+Where does our donor data go?
Into your workspace, and nowhere else unless you decide otherwise. New organisations start with external AI processing switched off, the model able to see column names but no values, and a zero spend allowance. Every change to that is recorded.
Security and governance in full →+We do not have anyone who could run this.
That is the assumption it was built on. You ask a question the way you would ask a colleague. There is no query language, and nobody has to learn one.
Infalytics is in private beta.
We are onboarding a few organisations at a time, each with a real conversation and a dashboard built from an export you already produce — rather than a login and a good-luck email.
Would rather just talk? Book a walkthrough or email hello@infalytics.com.