Graph RAG represents a shift from text-centric retrieval to structure-aware understanding to enable: 1. More consistent answers 2. Better global context 3. Reduced hallucination 4. Stronger reasoning over relationships Rather than asking LLMs to guess structure from text at generation time, Graph RAG makes structure explicit upfront.

In the highly regulated and patient-centric world of pharmaceutical launches, gaining a rapid, nuanced understanding of public perception is no longer optional—it is a critical necessity. Social listening has evolved from a simple monitoring tool into a sophisticated intelligence engine, providing real-time data that directly informs safety monitoring, brand strategy, and commercial success.

Polus is an AI-driven solution for pharmaceutical medical affairs. It analyzes MSL (Medical Science Liaison) engagements with HCPs (Healthcare Professionals) to provide insights beyond traditional, periodic ATU (Awareness, Trial, and Usage) studies. The product uses sentiment analysis, topic analysis, and summarization to give a real-time understanding of HCP perceptions. This continuous feedback loop helps commercial and marketing teams to refine their strategies pre-launch,

Why “writing problems” aren’t really about writing If you’ve ever said: “This draft doesn’t sound right.”  “It’s not what I meant.” ...

In a world flooded with writing tools, the real bottleneck isn't typing speed. It's planning structure and clarity, before the first word...