Our Latest Research
Discover our contributions to AI in pharma through journal articles, technical blogs, and white papers.
How to Fix Pharma’s Content Duplication Problem
Medical and commercial teams in pharma often create similar content in isolation — leading to duplication, delays, and inconsistencies. This article explores how AI-powered content adaptation can reduce waste and align messaging, while maintaining essential regulatory safeguards.
Accelerating Pharma Time-to-Market: Tackling MLR Bottlenecks with RAG-based AI Compliance Models
This white paper explores how Retrieval-Augmented Generation (RAG) AI models can streamline Medical, Legal, and Regulatory review processes, significantly reducing time-to-market for pharmaceutical products.
From Generative AI to Agentic AI: Pharma's Next Revolution
This article explores how agentic AI is taking pharmaceutical innovation beyond generative AI, creating autonomous systems that can independently research, analyze, and make decisions.
A Day in the Life of an MSL Powered by AI: Combining AI Technologies to Transform Training
This paper introduces a revolutionary concept for Medical Science Liaisons (MSLs) training that reimagines development through the seamless integration of multiple advanced AI technologies including Generative AI, Retrieval-Augmented Generation, Multimodal AI, and AI Agents.
How I Built Smarter AI Tools for Pharma: From Generative AI to Agentic AI
A technical deep dive into building advanced AI tools for the pharmaceutical industry, including the transition from generative models to more sophisticated agentic systems.