AI use cases for Research & Development
5 documented implementations
Protecting Crops Today to Feed Billions Tomorrow
Syngenta built Gaia, the first crop protection R&D data platform for analytics and innovation, on Databricks to unify siloed data across 70-plus countries. The platform cut data access times from as long as nine months to minutes, reduced time to value by 70%, decreased engineering costs by 50%, and now publishes over 200 data products handling more than 2 million queries per month.
SyngentaDatabricks · Delta Lake · Unity Catalog +3
Novo Nordisk Transforms Clinical Trials With Generative AI
Novo Nordisk, a Denmark-headquartered global healthcare and pharmaceutical company, used the Databricks Data + AI Platform to unify previously siloed clinical trial data across its FounData and DataCore platforms. In 9 months it moved from concept to MVP, and now over 20% of its development organization actively uses clinical data via FounData. The company built a 'Co-Scientist' AI agent system on Databricks Agent Bricks, Unity Catalog and AI/BI Genie to search clinical data and surface curated insights, with an expected $157M+ in net new value and $14M in efficiency gains from optimized clinical trials over five years.
Novo Nordisk· DenmarkUnity Catalog · Agent Bricks · AI/BI Genie +2Roche scales NVIDIA AI factories globally to accelerate drug discovery, diagnostics and manufacturing
Roche is deploying more than 3,500 NVIDIA Blackwell GPUs across hybrid cloud and on-premises environments in the U.S. and Europe, expanding an existing collaboration to turn AI and accelerated computing into a core operating capability across its pharmaceutical and diagnostics businesses. AI is central to Genentech's Lab-in-the-Loop drug discovery strategy, where nearly 90% of eligible small-molecule programs integrate AI; in one program a degrader molecule for oncology was designed 25% faster, and in another AI helped deliver a backup drug candidate in seven months instead of more than two years. Roche is also using NVIDIA Omniverse to build digital twins of manufacturing sites, including its new GLP-1 facility in North Carolina, uses NVIDIA Parabricks software to enable insights across vast datasets, is evaluating the BioNeMo platform for molecular design and chemistry innovation, and uses NVIDIA NeMo Guardrails to ensure safe and reliable healthcare-grade AI.
RocheNVIDIA Blackwell · NVIDIA BioNeMo · NVIDIA Omniverse +2
Austrian Academy of Sciences unlocks Ancient Greek with Mistral
The Austrian Academy of Sciences (OeAW), together with its Austrian Archaeological Institute, partnered with Mistral and services partner Reply to build Apollo, described as the first advanced large language model for Ancient Greek. Apollo is trained on a specialized corpus of 600 million words of historical Greek text plus tens of thousands of published inscriptions and papyri, helping researchers reconstruct damaged texts and identify thematic connections across collections. The OeAW reports Apollo turns work that once took years into hours, addressing over one million unread Greek papyri worldwide, with future phases planned for semantic search and handwritten inscription decipherment.
Austrian Academy of Sciences· AustriaMistralHow Bouygues Construction Drives Sustainable Building Innovation With Digital Twins
Bouygues Construction, a global construction and infrastructure company based in France, built custom digital twin applications on NVIDIA Omniverse using the OpenUSD framework to unify 3D data from Revit, SolidWorks, and Cesium into a single collaborative environment. Using NVIDIA Isaac Sim, the company generates photorealistic synthetic training data for AI-based computer vision models covering rare or hazardous jobsite scenarios, and uses NVIDIA RTX PRO GPUs for real-time ray tracing. The approach delivered a 5x improvement in data integration speed and enabled safer job site planning through AI-driven construction site simulations and predictive scenario testing.