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Inform Online 2022 – From ideation to innovation in a leading pharmaceutical (GsK)
How a Top-5 Global Pharma Company Modernized Enterprise Search for R&D Innovation
GSK — one of the world’s largest pharmaceutical companies, with operations spanning drug discovery, vaccine development, and specialty medicines across more than 150 countries — partnered with Sinequa to solve a problem that every large life sciences organization faces: how to give scientists, researchers, and knowledge workers fast, reliable access to the information they need, when and where they need it, across a landscape of fragmented systems, siloed data, and disconnected repositories.
In this Inform Online session, Srini Raghavan, Director of Software Engineering at GSK, presents GSK’s journey in his own words — explaining why GSK chose Sinequa Cloud Search, how the deployment was approached, what changed for R&D teams, and how GSK built the business case for enterprise search in a pharmaceutical organization operating at global scale.
This is not a vendor demo. It is a pharmaceutical engineering leader describing a strategic platform decision and what it took to make it work.
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Three Strategic Outcomes GSK Shares in This Session
- Knowledge Management Transformation at Enterprise Scale Srini Raghavan explains how Sinequa helped GSK overcome the data fragmentation that had been limiting knowledge access across the organization. The deployment modernized how teams discover and use organizational knowledge — replacing a fragmented landscape of siloed search experiences with a single, intelligent interface that understands scientific and operational content in context, not just by keyword.
- AI-Powered Cognitive Search for Scientific and Operational Data GSK’s deployment leverages Sinequa’s cognitive search and analytics capabilities — AI-powered understanding of complex scientific documents, multi-language NLP, and semantic retrieval — to surface insights from the full range of data types that a pharmaceutical organization produces: research documents, clinical data, regulatory submissions, operational records, and internal communications. The session explains how this AI layer transforms raw data into findable, actionable knowledge for scientists and business teams simultaneously.
- The Foundation for Future R&D AI Innovation Perhaps the most strategically significant element of Srini Raghavan’s presentation is the forward-looking framing: GSK’s Sinequa deployment is not just a search improvement — it is the data access foundation that makes future AI innovation possible. Accurate, governed, enterprise-grade retrieval is what allows AI assistants, AI agents, and RAG-powered applications to deliver reliable answers from a pharmaceutical company’s own proprietary data rather than public model outputs. GSK’s investment in Sinequa Search Cloud was, in that sense, an investment in the infrastructure for AI-powered drug discovery, clinical intelligence, and regulatory acceleration.
Why This Session Matters Beyond 2022
This Inform Online session was recorded in 2022, but the strategic questions Srini Raghavan addresses are more relevant today than when he presented them. Every major pharmaceutical organization is now evaluating how to deploy generative AI and agentic AI in drug discovery, clinical trial management, and regulatory operations. The answer to that question depends entirely on the quality of the retrieval infrastructure underneath it.
GSK’s experience — choosing a purpose-built enterprise search platform rather than a generic tool, building the business case at software engineering director level, and deploying at enterprise scale — is precisely the decision architecture that pharmaceutical IT and R&D leaders are navigating today. The technology has evolved (Sinequa now delivers full GenAI assistants and AI agents on top of the same search foundation), but the strategic logic GSK followed in 2022 maps directly to the platform decisions organizations need to make in 2025 and 2026.
For any pharma technology leader evaluating enterprise AI search, this session is the most direct available account of how a peer organization with comparable complexity made the decision and what they learned.
About Inform Online
Inform Online is Sinequa’s annual customer and technology conference, bringing together enterprise search practitioners, AI researchers, and technology leaders from Sinequa’s global customer base. The conference features customer presentations — like this session from GSK — alongside platform roadmap reveals, technical deep dives, and industry analyst perspectives on enterprise AI. GSK’s participation in Inform Online 2022 as a featured customer speaker reflects the strategic significance of their Sinequa deployment within the pharmaceutical industry.
Frequently Asked Questions (FAQ)
GSK — a top-5 global pharmaceutical company — adopted Sinequa Cloud Search to modernize enterprise-wide knowledge access and build a powerful foundation for R&D search capabilities. The deployment addressed data fragmentation across GSK’s complex systems landscape, giving scientists, researchers, and knowledge workers a single intelligent interface to access organizational knowledge across scientific, clinical, regulatory, and operational content. Srini Raghavan, Director of Software Engineering at GSK, presents the full story of this deployment — the challenge, the decision, the implementation, and the outcomes — in this Inform Online session.
The strategic questions Srini Raghavan addresses — how to build the business case for enterprise search in pharma, how to unify fragmented data at scale, how to deploy AI-powered retrieval across scientific and operational systems — are more pressing today than in 2022. Every pharmaceutical organization is now evaluating generative AI and agentic AI for drug discovery, clinical trial management, and regulatory operations. The reliability of those AI systems depends entirely on the quality of the enterprise search and retrieval layer underneath them. GSK’s decision to invest in Sinequa as that foundational layer in 2022 anticipates exactly what the rest of the industry is now trying to solve. Sinequa’s platform has since evolved to include full GenAI assistants and AI agents built on the same search foundation GSK deployed.
More than 50% of the world’s leading pharmaceutical companies use Sinequa, including Pfizer, AstraZeneca, GSK, Novartis, Bristol Myers Squibb, Takeda, UCB, and Astellas. UCB achieved $143M per year in savings and 20% faster clinical analysis across 5,250 users after deploying Sinequa. Sinequa supports life sciences organizations across drug discovery and scientific R&D search, clinical trial design and patient recruitment, regulatory compliance, and enterprise knowledge management — using the same AI-powered search and RAG foundation that GSK adopted as their platform of choice.
Sinequa Cloud Search is the SaaS delivery model for Sinequa’s enterprise AI search platform — providing all of the platform’s intelligent search, NLP, and cognitive analytics capabilities in a fully managed cloud environment, without requiring on-premise infrastructure management. It connects to 200+ data sources through ready-to-use connectors, processes structured and unstructured data simultaneously, and enforces all source system access controls at the document level. For a global pharmaceutical organization like GSK, the cloud platform provides enterprise-grade scalability, security, and governance — with the ability to support scientific, clinical, regulatory, and commercial knowledge management from a single, unified search layer.
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