A validation layer between measurement and decision

Bring your ad spend and outcome data into Proofseal. It checks the data conditions, methods and assumptions behind your measurement conclusions, tests the model on simulations with known answers, and tells you how far the evidence currently supports each conclusion.

View verdict examples →How it works

Transparent interests: relationships that could affect a verdict are disclosed
Traceable verdicts: method, evidence and version on record
Uncertainty is not hidden: when evidence falls short, we say so

A second opinion is useful
A traceable validation is different

Defined inputs
Every validation asks the same questions of the same data shape — not a fresh chat each time
Versioned methods
Each verdict records which version of the rules produced it, so it can be looked up later
Recorded evidence
Why the verdict came out this way is kept on file, ready to be opened anytime
Re-runnable checks
When the data updates, the same checks can run again to see whether the conclusion still holds

Proofseal keeps the conditions behind each verdict: the data version, method, assumptions and checks. When the data, method or context changes, the same question can be revisited, and the difference traced to its source.

AI may assist the analysis and the explanation. Verdicts come from defined rules and an evidence structure, never from an AI's judgment alone.

How validation works

Four steps. What each one does, and why, laid out in the open.

1
Data checks
First, is your data up to the job: how many weeks, any gaps, any channels whose budgets always move together (which makes credit impossible to separate).
2
Measurement
Estimate what each channel's spend brings back. Every number carries a range, because estimates are uncertain by nature.
3
Validation
Test the model on simulated data with known answers: when it claims to be 80% sure, how often is it actually right?
4
Verdict
Turn the evidence into one clear verdict, with plain-language reasons and the limitations to keep in mind. Whether to move budget stays your team's call.

What the evidence supports

Each question you care about (like "can we shift budget?") gets one of three verdicts below, with the reasons attached.

✓

Supported

Given the current data, methods and assumptions, the evidence supports this conclusion.

Conditional

The evidence offers support, but a few things need attention — the verdict lists each one.

More evidence needed

The evidence isn't enough yet. The verdict says what's missing and which piece would help most.

Origin

A question that started with a thesis

Proofseal began as a prototype I built for my thesis research in the Master of Science in Decision Making and Applied Analytics at Minerva University. From evidence-based decision making, statistical modeling and formal reasoning to the marketing measurement questions of daily work at CloudAD and the complex operational decisions at plantārium, I kept running into the same question: once a measurement result has been computed, how far does its evidence actually reach? Proofseal starts from that question.

Read the origin of Proofseal →

The path of instruments

Before statistics existed, people measured the world with instruments: a plumb line, a gnomon, a carved seal. This is our brand story. Each station is an old instrument matched to one stage of the product.

Connect data
Core sample
drilling up the strata that time laid down
Data checks
Plumb line
before you model, drop a true vertical
Measurement
Gnomon
when you cannot measure the sun, measure the shadow's end
Validation
Armillary sphere
check the model against the sky; when it drifts, fix the calendar
Verdict
Seal
only a verified conclusion earns this stamp