Veriqa.ai offers an AI‑driven platform that automates the creation of audit‑ready Annual Product Quality Review (APQR) reports, reducing the preparation time from weeks to hours. By pulling data directly from manufacturing and quality systems, it generates compliant documentation that meets regulatory standards, streamlining the audit workflow for life‑science companies.
Funding
Funding not disclosed
Founders
Product
Problem
Finance and risk teams often spend weeks manually gathering data, applying compliance templates, and compiling Audit, Performance, Quality, and Risk (APQR) reports, leading to delayed insights and high labor costs.
Solution
Veriqa.ai offers an automated platform that transforms raw financial and risk data into audit‑ready APQR reports within hours. The system uses AI‑driven data extraction to ingest information from diverse sources, then applies pre‑built regulatory compliance templates to structure the content. Automated validation checks ensure the reports meet required standards, while a user‑friendly interface lets teams review, edit, and approve outputs quickly. By reducing manual effort, the platform accelerates decision‑making and frees resources for higher‑value analysis.
Target Audience
Primary customers are finance, audit, and risk management teams in mid‑size to large enterprises that need to produce APQR reports regularly.
Features
- AI-powered extraction of data from spreadsheets, databases, and document uploads
- Library of up‑to‑date APQR compliance templates covering major regulatory frameworks
- Automated data mapping and validation to ensure report accuracy and completeness
- One‑click generation of fully formatted, audit‑ready APQR documents
- Interactive dashboard for review, annotation, and approval of generated reports
- Integration hooks (API/webhooks) for seamless connection with existing finance and risk systems