With the rise of high-throughput technologies, research teams are generating vast volumes of multi-modal data from genomics and proteomics to imaging and clinical metadata. It calls for robust data systems, standardized metadata, and interoperable platforms built for fast, multi-modal analysis.
Elucidata’s cloud-native platform bridges the gap between complex biomedical data and everyday research workflows, delivering harmonized, ML-ready data at scale. We have simplified common user journeys that use bioinformatics systems such as Genedata. For instance, 50+ scientists across 20 R&D sites of a top pharma company are using our workflow platform to fast-track protein production requests.
If your team is working to modernize data infrastructure, scale AI/ML pipelines, or unlock the full value of multi-modal datasets, we should connect.
1. Leading Oncology Company Uses Elucidata’s Drug Atlas to Drive Drug Discovery
2. Elucidata x Hookipa: 7x Faster Insights In Translational Research
3. ChatGPT in Drug Discovery : Rise of Large Language Models