Generative AI-Powered Commercialization

We apply Generative AI across the content ecosystem from concept to creative to adaptation and finally into Medical, Legal, Regulatory (MLR) review. Our unified platform hyper-localizes content at scale. Whether it is translating content to suit local audiences, contextualizing copy for indications approved in local markets, developing creatives that appeal to local tastes, or accelerating MLR review to launch on-time, we leverage the power of Generative AI to hyper-automate the content ecosystem.

Many Large Language Models (LLMs) are only enabled for text or structured content. We leverage semantic search to glean insights from multiple forms of structured and unstructured content (text, images, audio, video) with relevant ontologies, knowledge graphs and guardrails to inform content personalization using internal and external context and insights. Our Generative AI solution makes it much easier to apply life sciences vocabulary and guardrails at an industry, regulatory, company and brand level, so you can apply these insights to personalize experiences.

Healthcare Professionals (HCPs) and patients now expect the same level of engagement and experience from life sciences companies that they get from other consumer brands. Our LLM-powered, avatar-driven chatbots help you engage them in a more immersive environment, while applying the same high standards of compliance that keeps them safe. With the right guardrails and healthcare expertise, we ensure your customer experience is personalized, scalable and efficient.

We apply Generative AI across the Medical Legal Regulatory (MLR) process from substantiating claims to validating promotional content facts to proofreading and content check. Our solutions ensure that promotional materials are accurate and compliant by automating the verification of scientific claims and cross-referencing them with trusted sources. This not only enhances the content’s credibility but also streamlines the content creation process.

Generative AI helps us automate the creation of Scientific Response Documents (SRDs) all through from extraction of relevant information to putting it together in the right structure and customizing it for the medical writer’s needs.

We leverage Generative AI for literature surveillance and triaging medical information queries. It also helps us automate scientific literature monitoring and streamline the process of categorizing medical queries across specific themes as well as on-label and off-label queries.

Our Generative AI-powered medical writing platform is an end-to-end solution for life sciences documentation, seamlessly managing complex workflows through intelligent automation. With horizontal capabilities like advanced tabular data handling, lean document generation, and an orchestration layer for streamlined content management, the platform enhances document accuracy and coherence. Its AI-driven features support document summarization, data consolidation with auto-generated tables and traceable content updates, providing full transparency for each change made.

Supporting a wide range of critical document types, including protocols, Clinical Study Reports (CSRs), aggregate reports and patient narratives, the platform delivers deep insights through AI-based data extraction and trend analysis. By generating clear summaries, consolidating data into structured formats and offering traceability for regulatory needs, this platform transforms the medical writing process into a highly efficient, compliant and insight-driven workflow.

Generative AI is embedded in our aggregate report authoring process. It helps extract relevant information from multiple source documents like literature articles, tabular data and clinical registries, ensuring comprehensive data collection. We use it to convert safety data into safety topic summaries automatically. We also apply it to find and infer significant insights from literature and clinical trial data.

Generative AI also helps identify relevant information across contributions and diverse inputs automatically, contextualize the authored section output in required formats and trace sources with a chat-based quality control. We generate first-draft reports with high data and scientific accuracy and well-aligned with reasoning, sentence structure and presentation. It helps optimize the document review cycles and facilitates source contributions, collaborative reviews and oversight. Finally, Generative AI helps with real-time compliance, quality and productivity tracking through governance dashboards, enabling efficient resource deployment.