RegASK, a leading provider of AI-driven regulatory intelligence for Consumer Goods and Life Sciences, has launched the industry’s first agentic AI architecture built for regulatory operations. The new architecture pairs RegASK’s vertical large language model (V-LLM) with specialized AI agents to deliver personalized insights and streamline how teams find, understand, and act on regulatory information.
The launch significantly expands RegASK’s specialized agent network, enhancing its breadth, depth, and capabilities. These agents each perform a distinct task, such as document retrieval, translation, summarization, and assessment generation. These agents are coordinated by a dedicated ‘project manager’ agent that manages how tasks are assigned and performed across the system, enabling collaborative execution of multi-step workflows. An evaluator agent reviews outputs before they’re delivered to users, helping ensure accuracy and build trust in the results. Together, the enhanced agent network and embedded V-LLM power deeper automation, more tailored insights, and the ability to manage a wider range of day-to-day compliance operations.
“Regulatory teams are managing growing volumes of data, tighter turnaround times, and more fragmented systems and processes,” said Amenallah Reghimi, Chief Product and Technology Officer at RegASK. “We built this architecture to make that complexity more manageable by assigning clear tasks to specialized agents and enabling them to work in sync. That coordination allows the system to deliver relevant insights faster and reduces friction in day to day operations to help teams focus on what matters and keep pace with growing complexity in today’s landscape.”
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“Regulatory complexity is growing, and it’s putting pressure on how businesses scale, enter new markets, and manage risk,” said Caroline Shleifer, CEO and Co-Founder of RegASK. “This new architecture gives teams the intelligence and executional speed needed to cut through that complexity and respond with confidence. It’s a critical advantage for making smarter decisions in high-stakes, highly regulated environments.”
SOURCE: Businesswire