RegASK, a leading provider of AI-driven regulatory intelligence for Consumer Goods and Life Sciences, has launched the industry’s first agentic AI architecture purpose-built for regulatory operations. This innovation combines RegASK’s vertical large language model (V-LLM) with a network of specialized AI agents to simplify and accelerate how regulatory teams access and act on complex data.
Each AI agent is designed to perform a specific task—ranging from document retrieval and translation to summarization and regulatory assessment. A ‘project manager’ agent coordinates workflows, while an ‘evaluator’ agent ensures quality and accuracy before results are shared. This multi-agent system enables seamless, collaborative execution of regulatory tasks, reducing manual effort and enhancing trust.
The platform now integrates a more powerful V-LLM, trained on millions of regulatory data points and enhanced with structured attributes for greater contextual precision. It delivers tailored insights, faster search results, and more accurate compliance summaries aligned with users’ regulatory priorities.
In addition, a redesigned user interface improves regulatory change tracking through customizable alerts and intuitive navigation, empowering teams to respond quickly and mitigate risk in fast-evolving environments.
With support for emerging standards like Multi-Agent Communication Protocol (MCP) and Agent-to-Agent (A2A) interactions, RegASK’s architecture is future-ready for cross-platform automation and scalable enterprise deployment.