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About

Built for the seam between your message and the machine.

Juncture is built by QueryNow, Inc. to keep a pharma message intact from the approved label to the answer a machine gives, at the moment HCPs are changing how they ask.

01/The name

A juncture is a join and a moment.

From the Latin jungere, to join: the same root that gives us junction and joint. A juncture is the point where two things meet, and the moment at which things turn. Both senses describe what we do.

The join

The seam nobody owns.

Between the content pharma approves inside and the answer the machine gives outside, there is a seam. No team owns it. Medical owns the label. Commercial owns the campaign. Nobody owns the space where the two pull apart. Juncture owns that space.

The moment

Pharma is at a juncture.

HCPs are moving from search to AI assistants. The approved message and the machine answer are drifting apart, quietly, brand by brand. This is the turning point. The decisions a brand makes now set how it is described for years.

Pharma’s message is at a juncture.

02/What it does

What Juncture does, on an asset.

The only platform that pre-checks the content you approve inside and monitors how AI answers about your brand outside, and joins them. Here is the inside half on a fictional asset: the pre-check holds it to the label before MLR, citing the clause behind every verdict.

Illustrative view, fictional brand Varigel. Five checks cleared, one off-label use caught, each traced to a label clause, before MLR ever opens the asset.

Inside

Checked before MLR.

The pre-check reads the asset and holds every claim, figure and visual to the label, citing the clause behind each verdict. It catches an off-label use before review, not after it ships.

Backs the reviewer

It does not replace MLR.

The accountable decision stays with the human reviewer. The pre-check hands them a checked asset and a clear shortlist, with a 21 CFR Part 11 trail and an e-signature sign-off behind it.

End to end

It does not stop here.

The same label that clears the asset inside is the label Answer Monitor uses to judge how the machine answers outside. One source of truth, joined across the seam.

03/The mission

Keep the message intact, from the label to the answer.

Pharma spends years getting a message right and approved. Then a machine paraphrases it to a clinician in seconds, and the careful work can come out wrong: a dropped indication, an unverified claim, an off-label reading. Juncture exists to close that gap. We hold the approved asset to the label before it ships, and we watch how the machine answers about the brand after it does. One loop, one source of truth, one message that stays intact end to end.

Your message, intact from the label to the answer.

04/The value, made tangible

Reuse is the value, not just claims checked.

We hold a strong conviction: the clearest value of a pre-check is showing how much of an asset is reused verbatim from content you already approved. It makes the work concrete, alongside the claim and rule checks: less new-claim risk, a faster approval.

Illustrative view, fictional brand Varigel. Each block is matched back to the approved module it reuses, so only the genuinely new copy needs fresh review.

Tangible, not abstract

A reuse percentage and a block-by-block breakdown turn "the message is governed" into a number a reviewer can act on.

Risk on the new copy

Exact-match and light-edit blocks carry no new claim. Only the genuinely new copy is routed for a fresh claim check.

Faster, safer approval

Reviewers spend their time on what changed, not on re-reading content they already cleared. The asset moves faster and carries less risk.

05/MLR review ready

Built to back the reviewer, not replace them.

The pre-check hands MLR a checked asset and a clear shortlist. The accountable decision stays with the human reviewer, with a 21 CFR Part 11 audit trail and an e-signature sign-off behind every approval.

Illustrative view, fictional brand Varigel. The governed path from flag to assigned to signed off to published, with a time-stamped audit trail.

06/How we build

Convictions, not features.

A small set of beliefs runs through everything Juncture does. They are why the product reads the way it does, and why a reviewer can trust it.

01

The label is the source of truth.

Every check and every measurement resolves to the approved label. We do not invent a standard. We hold the work to the one a brand already approved.

02

Inside informs outside.

What a brand approves sets the baseline the machine answer is measured against. The two halves are one continuous thing, not two tools.

03

Cite the clause, every time.

A verdict without a reference is an opinion. Each result points to the exact label clause behind it, so a reviewer can trust it in seconds.

04

Built for the people who sign off.

Medical, regulatory and commercial reviewers carry the risk. The product is plain, fast and defensible because their names are on the approval.

07/The company

Who builds Juncture.

Juncture is the Content Intelligence platform built by QueryNow, Inc. It pre-checks a pharma asset against the label before MLR, then monitors how AI answers about the brand.

Product
Juncture
Company
QueryNow, Inc.
Category
Content Intelligence for pharma
What it does
Pre-check against the label, then monitor the answer
Source of truth
The approved label
Built for
Medical, regulatory and commercial reviewers

08/About Juncture

Questions about the company

See it on your brand

See what Juncture does, on a real asset.

Bring an asset and a brand. We will pre-check the asset against the label and show how the machine answers about the brand today.