Pulse AI × Unity Arc · Turning commercial evidence into decision confidence
05 · Live example
05 · Live example · calibration + live demo

When people agree with the message, has anything meaningful actually changed?

A TED-style pharma talk built on the n=1k cognitive calibration that taught Unity Arc™ to read belief — and a live demo that shows what the data reveals.

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Deeper detail What this demo is really about.

This is not a demo about making research faster. It is a demo about making research more decision-useful. The calibration survey showed that positive response can hide very different types of belief behaviour. Two ideas can both be clear, credible, and liked — but only one may create the confidence, permission, or momentum needed to support a brand decision. Unity Arc was built to read that difference.

What the audience will see
01 · The surface read
Familiar measures can mislead.

How standard read-outs can make communication look stronger than it really is.

02 · The belief read
Passive vs active agreement.

How Unity Arc separates passive agreement from active belief movement.

03 · The calibration layer
n=1k cognitive baseline.

How the calibration study structures the read of belief, confidence, resistance, and momentum.

04 · The decision layer
Back, refine, protect, challenge.

How the output helps teams decide what to back, refine, protect, or challenge.

Why it matters for pharma

Pharma teams often make decisions in the grey zone. The weak option is easy to reject. The hard calls sit between options that all look credible.

That is where agreement can mislead. Unity Arc helps teams see whether communication is merely landing — or whether it is actually moving belief in a way the brand can use.

The shiftFrom “was it liked?” to “did belief move?” That is the one question this demo is built around.

The demo is about one question: when people agree with the message, has anything meaningful actually changed?

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