About Presaga

A company built around one sentence.

Presaga exists to help people think before they act. Everything we build is judged against that: a briefing that makes a decision better prepared has done its job, and one that just sounds confident has not.

In plain terms

A small Canadian company that builds one thing: software that shows you how people are likely to react to something before you say it, and then shows you its reasoning so you can argue with it.

Who builds Presaga

Founded and run by Craig Bondy.

Presaga is built and operated in Canada. Craig founded the company and runs it, and writes on the company blog under his own name — so the person making the claims on this site is the person you can hold to them.

We're deliberately small, and we say so. Nothing on this site borrows credibility we haven't earned: no invented customer logos, no testimonials we didn't receive, no numbers without a source. If we haven't done it yet, this site says we haven't done it yet.

Read the blog → The Early Adopter Program →

A map of Canada
What it's for

The moment before you say something that matters.

Announcements are made under time pressure by people who cannot see around the corner. The usual options are a room of colleagues who already agree with you, a panel of strangers that takes weeks, or a confident guess. Presaga puts a rehearsal in that gap: an AI-simulated audience built from your real stakeholders reacts to the actual material, a panel of AI reviewers argues about what those reactions mean, and you get a briefing you can check before anyone outside sees a word of it.

Presaga exists to help people think before they act.
Everything else is secondary.

How it's built

The machinery exists to make us checkable.

Most of the engineering in PRISM is not there to make the answer sound better. It is there to make the answer arguable — so you can find the weak point yourself instead of taking our word for the strong one.

Evidence you can check

Every finding points at the specific simulated reactions it came from — you can follow any conclusion back to what produced it. A claim that can't be traced to evidence is dropped and counted, never smoothed into the prose.

A confidence reading that can only be lowered

Confidence is a reading computed from what the evidence supports, and it can only be lowered. A contested situation gets a low reading with the reasons beside it. That's the system telling you the truth, not failing.

Disagreement on the record

A panel of AI reviewers in named seats — the Devil's Advocate and the Evidence Checker in every product, plus the seats that product needs — argues over what the reactions mean. Where they split, you read both sides. A divided room is information.

Every finding says what would prove it wrong

Each conclusion names the observable, datable event that would reverse it. Those become your watch-list for the first days after you act — and the questions we ask you afterwards.

On the record, and scored

A finished report is sealed the moment it's delivered — its fingerprint is recorded, so it can't be quietly rewritten to look right later. Then we ask what actually happened. That builds a track record of where PRISM was right — one nobody can retrofit.

It writes the statement, then tests it

Arrive without a draft and PRISM proposes one built only from your facts — never an invented promise, discount, or apology. It tests the draft, revises on what it found, and hands you the finished statement with the evidence attached.

How we use AI on ourselves

The AI prepares. People decide.

We build with AI, and we hold our own use of it to the standard we sell. An automation that prepares better information for a person has succeeded. One that makes the decision instead of preparing it has failed. There is a human at every consequential decision here, ours included.

The same rule shapes the product. A Decision Report never tells you what you must do — it hands you the call the evidence supports, the reasoning behind it, the places the reviewers disagreed, and what would change the answer. You are still the one who decides, and you should be.

Our philosophy →

A sealed Decision Report
What Presaga is not

Three things we are careful never to be.

Being clear about what we don't do is part of the same discipline as being clear about what we do.

Not a poll

No real people are surveyed. The audience is simulated from the stakeholder groups you describe, so a finding carries no margin of error and should never be quoted as though it came from a sample of the public.

Not a prediction service

We model how audiences are likely to react. We do not foretell events. The report says how much to trust it, in a reading that can only be lowered, and every finding names the event that would prove it wrong.

Not a PR agency

We don't run your communications, place your story, or speak for you. Presaga prepares the evidence and hands it to the people who do that work — in-house teams and the consultants who advise them.

Where it runs

Built in Canada, and honest about the boundary.

Your account, documents and reports are hosted and stored in Canada, encrypted at rest. On the standard service the AI model that processes your content runs outside Canada; if your rules require in-country processing end to end, we run PRISM for you on dedicated Canadian hardware as a private deployment.

We state that boundary the same way on every page that touches it, because the organizations that need to know are the ones least well served by a vague answer.

How we handle your data → Deployment & sovereignty →

A chip with data flows
How to reach us

One address, and a person behind it.

Write to info@presaga.ca, or use the form on the contact page. Private deployments, white-label portals, public-sector procurement questions, press and the Early Adopter Program all start the same way — tell us what you're weighing.

See how people are likely to react — before you say it.

Run your next statement, message, or decision through PRISM before it's public. Read the briefing, share it, or listen to it — and change a word while you still can.