References

Papercurve References is a module within the Papercurve platform that uses AI — branded as Paige AI — to accelerate and simplify the creation and linking of references for medical and promotional content. It is designed for life sciences teams that need to substantiate medical claims with supporting references, reducing manual effort and helping onboard new employees more quickly.

All AI-generated recommendations are confirmed by a human reviewer before being applied, ensuring that the automated suggestions remain subject to human oversight.

Key Benefits

• Links references up to 10 times faster than a manual process
• Reduces repetitive work by recommending previously created references
• Supports faster onboarding of new employees
• Keeps human confirmation as a required step for all AI recommendations

Reference Linking and Claim Recognition

• Paige AI recognises substantiated claims and understands the intent behind a claim
• When creating a reference, the system suggests references that have already been created within the workspace, eliminating duplicate work
• Multiple reference recommendations are returned and ranked by relevance, with the highest-scoring result listed first

Segmentation and Organisation

• Results can be filtered and separated by product, disease state, country, or other configurable properties
• Each reference carries a unique, configurable label to make it easier to locate and differentiate references across large libraries

Data Privacy and Security

• Machine learning data remains within the user's Papercurve workspace and cannot be accessed without authorisation
• Data is stored in a central repository with restricted access controls

Papercurve is based in Toronto, Canada, and the broader platform is positioned to support compliance review processes and compliant record-keeping in life sciences organisations. Integration information and additional resources are available through the Papercurve website.