Tenthpin Builds Generative AI Solution for Certificate Verification in Pharmaceutical Manufacturing
Tenthpin, a life sciences consultancy and product company, faced challenges in improving the accuracy and speed of certificate verification against specification documents for pharmaceutical manufacturing. They developed Tenthpin Intelligent Certificate VerificAItion (T/ICV), a SaaS generative AI solution using Amazon Bedrock foundation models to extract, compare text from certificates and specifications, and automate verification workflows. The solution integrates with SAP Business Technology Platform and uses AWS Lambda for automation and Amazon Aurora as the relational database. T/ICV decreased certificate verification time by 95%, improved accuracy to nearly 100%, reduced onboarding time from months to weeks, and enhanced regulatory compliance risk management.
- Organization
- Tenthpin
- Industry
- Pharma
- Location
- United States
- Published
- April 2026
Reported outcomes
100%
accuracyQuality & accuracy
Strategic outcomes
Catalog median for quality & accuracy deployments: +90% across 281 reported metrics. Compare benchmarks →
Primary read
Use case focus
Showing 3 of 3
- 1Document Verification
- 2Compliance Automation
- 3Quality Control
- Manual certificate verification was time-consuming and prone to human error.
- Pharmaceutical companies needed to verify large volumes of certificates and ensure compliance with specifications.
- The onboarding process was lengthy and slowed customer adoption.
- Built T/ICV on Amazon Bedrock for generative AI foundation models, using automated text extraction and comparison capabilities.
- Implemented workflow automation via AWS Lambda and integrated with SAP Business Technology Platform.
- Deployed Amazon Aurora for cloud-based relational data storage.
- Ensured regulatory compliance and audit logging in a GxP environment.
- Reduced certificate verification time by 95%.
- Achieved nearly 100% verification accuracy.
- Cut customer onboarding duration from months to weeks.
- Improved quality assurance and reduced regulatory compliance risks for pharmaceutical manufacturers.
Architecture
Architecture includes Amazon Bedrock foundation models for natural language processing, AWS Lambda for serverless automation, Amazon Aurora as the relational database, and integration with SAP Business Technology Platform for workflow and approval management.
Sources & evidence1
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