
Codi reviews pharmaceutical materials for compliance issues, claim substantiation and reference accuracy, giving your team precise, evidence-linked findings in minutes.
Works alongside your existing review process, including Veeva Vault PromoMats.
AI-assisted. Human judgement stays with your reviewers and signatories.
Combining pharmaceutical compliance expertise with Codi's AI technology.

Catch avoidable compliance issues before material reaches MLR review.
Spend less time on repetitive checks and more time on scientific judgement.
Get consistent, traceable findings linked directly to Code provisions and source evidence.
Verify required elements are present and correctly positioned: brand name, INN, prescribing information including QR codes, declaration of involvement, MHRA Yellow Card wording, black triangle symbols, and customer-specific rules.
See whether a claim is supported by its cited source, with relevant supporting or contradictory evidence highlighted.
Check references for completeness and accessibility, and locate cited evidence quickly.
AI vision analysis identifies potential visual compliance concerns in images and graphics.
Configure and enforce your organisation's internal compliance requirements alongside ABPI checks.
Ask questions using the ABPI Code, PMCPA precedent, and the material itself through an AI-assisted chat interface.
Upload materials and supporting references.
Select the checks you want Codi to run.
Compliance, claims, references and visual checks run together.
See findings against the exact page, with severity and relevant Code references.
Ask questions using the ABPI Code, PMCPA precedent and the material itself.
Not generic document AI. Codi is designed specifically for ABPI Code compliance and MLR workflows.
Customer materials and analysis results remain within EU hosting regions.
Enterprise deployments use isolated environments — no shared infrastructure or data between clients.
Documents and results are never used to train or improve centralised or third-party models.
Role-based access with persisted events and results for reviewable history.
See how Codi identifies ABPI issues, analyses claims and references, and gives reviewers evidence-linked findings in context.