Life Sciences

An AI-driven medical authoring solution that leverages AWS Bedrock’s Claude LLM to automatically extract and generate structured clinical documents from protocol files. Delivered via a seamless Word plugin and scalable cloud-native backend, the system accelerates content creation, reduces manual effort, and ensures accuracy and standardization across teams.

An AI driven document analysis tool powered by AWS Claude Document Processing automated document uploads, insight extraction, and dynamic querying to support regulatory and compliance workflows. The solution combined a Document API and Conversational AI in a cloud optimized architecture to improve productivity, scalability, and processing speed.

An AI driven chatbot using Amazon Q and AWS Bedrock Claude LLM converts natural language queries into structured queries, enabling non technical users to retrieve clinical study data from a graph database. The solution automates data structuring, delivers intuitive querying, faster insights, and scalable processing through cloud infrastructure.

The company leveraged AWS Bedrock and Claude LLM to automate extraction and generation of medical documents through an AI enabled Word plugin and cloud scaling. The solution reduced manual effort, lowered operational costs, and minimized data inconsistencies while improving efficiency, accuracy, standardization, customization, scalability, and cost savings.

Many businesses today have a large amount of data scattered across multiple systems. This can make it difficult to consolidate the data.

Leading Pharma companies want to understand the flow of Research Grants and Payments for regulatory compliance and to glean competitive UsefulBI developed tools to collate in-house and CMS Research.