Paige Intelligence · Multimodal AI

Review isn't just about reading text.
It's about understanding.

Your headline, your chart, your image, your layout. Together they communicate something your content may never say out loud. Paige Review sees the whole piece, and understands what it means.

Eleviora IVF medication advertisement depicting mother and baby
Paige Review
Critical · p.1 · imagery
CRITICAL Visual analysis · imagery
Authorized Use
The imagery depicts a mother holding a baby, which implies a successful pregnancy and live birth. This outcome is not guaranteed by the drug Eleviora™ (corifollitropin alfa), which is only authorized to support follicle development in IVF treatment. The depiction of a baby is a critical violation as it suggests an outcome that the drug cannot ensure.
RECOMMENDATION Ensure imagery depicts only populations, outcomes, and use contexts consistent with the authorized indication. Replace outcome imagery that exceeds the indication with imagery representing the actual authorized use. If patient imagery is retained, verify the depicted population matches the authorized patient selection criteria in the Product Monograph.

Most AI tools scan text.
Paige reads the whole page.

Paige reads your promotional piece the way a human reviewer does: seeing layout, charts, imagery, and copy together, and understanding what they communicate as a whole.

01
Reads the copy
Identifies product claims, checks for fair balance, and flags unsubstantiated or superlative language using NLP that understands intent, not just exact matches.
02
Reads the layout
Analyzes typography hierarchy, font sizes, color contrast, and placement. Detects when safety information is cramped, low-contrast, or relegated to a footer where it loses impact.
03
Reads the imagery
Recognizes what photographs and visuals actually depict. Flags when imagery implies outcomes, patient populations, or use contexts beyond the authorized indication.
04
Reads the code
Maps findings to the relevant regulatory guidance with severity ratings (Critical, Warning, or Info) plus plain-language explanations, location pointers, and actionable recommendations.

Your content stays yours.

Papercurve has been purpose-built for life sciences since 2019. Data handling isn't an afterthought. It's the foundation.

No cross-client training
Your Paige instance learns from your team's reviews only. No client data is ever used to train models serving other customers.
Regional data residency
Data hosted in your region. Canada and US availability today, EU on the roadmap.
Human-in-the-loop, always
Paige surfaces findings for your reviewers to decide on. Final approval authority stays with your team, never with the AI.

Reviews that used to take weeks
now take days.

60%
Reduction in MLR review time across customer deployments.
10×
Faster reference linking with Paige auto-match.
36%
Improvement in time to "everyone approved" with adaptive learning.

The compliance issues that live outside the text.

Text-only AI tools extract claims from words. But in pharma promotional content, some of the most significant violations exist in the visual layer. And those tools never see them.

Truncated axes
Charts that distort data
A y-axis starting at 60% can make a modest 23-point difference look like a dramatic gap. Text extraction sees the numbers. Multimodal AI sees what the chart actually communicates.
Image context
Photos that make implicit claims
An athlete, a smiling family, a return to work. Images imply outcomes. When those outcomes exceed the approved indication, it's a compliance issue invisible to text analysis.
Typography
Safety buried in 6-point type
Risk statements cramped into footers, low-contrast on coloured backgrounds, or de-emphasized through layout. Violations detectable only through visual document analysis.
Video & broadcast
Commercials and digital video
Paige uses multimodal AI to analyze video content for compliance, a capability no text-based tool offers. Relevant for TV, digital, and social media advertising.

Let's talk about how Paige fits
into your review workflow.

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