Back to the registry
Agent passport

Agentic AI APQR in pharma

LG CNS · Operations & Productivity

No attestation published

Certification per AWS Marketplace.

Provenance reach3 of 12 layers traced

Evidence tier Source Confirmed · 4 captures on record

User ratingNot rated0 reviews on the listing
Runs onUnknownProfessional service
ProvenanceUnknown33% of the provenance layers this product can disclose
Evidence riskHighSign in to see the basis for this band.

What the publisher says

As described on AWS Marketplace.

LG CNS’s Agentic AI APQR in pharma provides the most convenient and efficient service for generating APQR reports. It significantly reduces the time required for data collection and processing—from what used to take several months using manual or semi-automated methods—allowing customers to focus their investments on enhancing the quality of the reports themselves.

LG CNS’s Agentic AI APQR in pharma is a service that manages the entire process—from collecting raw data scattered across various systems such as EDMS, LIMS, ERP, and QMS, as well as handwritten paper documents, to preprocessing and final report generation. To support APQR generation, agents are structured around the planning, execution, and verification phases. Each execution unit corresponds to the detailed business process segments defined within the PQR.

Show the rest of the publisher’s description (1 more line)

This service leverages a managed infrastructure based on Amazon EKS to easily deploy and reliably operate multiple Agent services. Generative AI-based Agents are implemented using Amazon Bedrock, which enables integrated management of models and knowledge bases, while automating the full process from execution planning to operation and evaluation. Model responses are cached using Amazon ElastiCache, improving response times and enabling cost optimization. Context data between Agents is shared via Amazon S3 or Amazon RDS, ensuring session continuity and data consistency. For data collection and processing, Amazon Athena provides a fast and scalable data pipeline. In addition, high-accuracy search functionality is implemented through Retrieval-Augmented Generation (RAG) using OpenSearch, which is effectively applied to the management of GMP and SOP documents — critical compliance requirements in the pharmaceutical industry. User authentication is securely and scalably managed through Amazon Cognito, enhancing both the security and user experience of the overall application.

Highlights

Highlighted by the publisher on AWS Marketplace.

Improvement of your business cost-efficiency - It significantly shortens the volume and preparation time of APQR documents, which require substantial resources annually in the pharmaceutical industry, while enhancing report quality.

Building your high qualty assets - The Agentic AI APQR in pharma delivers sophisticated capabilities that ensure higher accuracy and greater reliability in the generation of final APQR documents.

Enhancement of the operational efficiency and data-driven compliance by APQR multi-agent service.

Agent build and provenance

See the full provenance

The layer-by-layer build, the evidence behind each claim, the risk basis and the cross-marketplace links are open to any account. Some rows are disclosed, some the source leaves Unknown; a free account shows you which.

Sources

Marketplace listingaws.amazon.comSource
App certificationaws.amazon.comSource

Linked repositories

RepositoriesUnknownUnknown

Unknown means this listing does not publish a repository. It is not a statement that the code is closed, and a linked repository is not a claim that the publisher wrote it: the registry computes that relationship privately and does not publish it.

Pricing
Unknown
Not stated
Delivery
Professional service
Please contact us at launchcenter@lgcns.com, Sales representative Sangwon Austin Lee.
Open the source listing ↗

Evidence risk is the share of the build you cannot see before you deploy, not a security rating. Sign in to see the layer-by-layer basis for this band.