Indegene modernizes data quality with LLM and AWS

Indegene modernizes data quality with LLM technology in partnership with AWS. The NEXT UDP platform generates contextualized rules and centralized validation. Availability in Brazil has not yet been confirmed.

Indegene has developed a solution to modernize and scale data quality in life sciences, in partnership with AWS. The company's NEXT UDP platform integrates data from multiple sources, generates contextualized rules and produces SQL and Python code, under centralized governance. The technology uses Amazon Bedrock, Strands Agents and Amazon Bedrock AgentCore, with a focus on security and regulatory compliance.

Indegene modernizes data quality with LLM and AWS — Image: aws.amazon.com

The solution allows companies to standardize and manage data at scale, without needing advanced technical expertise. The platform also offers metadata and analytics, aiming to simplify the management of complex data. The partnership with AWS strengthens integration with cloud services, making the solution easier to scale and secure.

End-to-end architecture of the Data Quality Agent on NEXT UDP, from the data steward request through profiling, Bedrock Agent — Image: aws.amazon.com

The NEXT UDP platform, which offers these capabilities, is part of an effort to standardize and scale data quality at scale. The initiative is aligned with an industry trend of using language models to automate tasks that previously relied on manual rules. Tech Mahindra is also modernizing legacy applications with SpaceXSI, showing that digital transformation in life sciences is under way.

NEXT UDP technical architecture on AWS organized into connector, data foundation, unified semantic intelligence, AI foundatio — Image: aws.amazon.com

Innodata's layoff, on the other hand, reflects workforce adjustments in the sector, but is not directly tied to the main topic. Indegene, thus, positions itself as a company that is anticipating the need for data governance in an increasingly complex environment. The integration of data from multiple sources enables centralized metadata and analytics, aiming to scale quality in life sciences. Availability in Brazil has not yet been confirmed, but the partnership with AWS suggests the solution may be in testing or preparing for launch.