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Elucidata is launching AI Day - where we showcase how our teams are using AI Agents to do better science.
Computational biologists and drug discovery scientists spend far too much time on operational tasks instead of diving into actual science.
Here are a few of the operational bottlenecks that slow down productivity:
This is the unavoidable busywork you have to get through before the real research can begin.
Join us on AI Day to see how our internal AI agents act as the operational engine for research workflows. They automate the heavy lifting so teams can focus entirely on hypotheses, interpretation, and experiments.
Elucidata is launching AI Day - where we showcase how our teams are using AI Agents to do better science.
Computational biologists and drug discovery scientists spend far too much time on operational tasks instead of diving into actual science.
Here are a few of the operational bottlenecks that slow down productivity:
This is the unavoidable busywork you have to get through before the real research can begin.
Join us on AI Day to see how our internal AI agents act as the operational engine for research workflows. They automate the heavy lifting so teams can focus entirely on hypotheses, interpretation, and experiments.
Scaling clinico-genomic data integration: Large pharmaceutical organizations working with external data providers used Polly to build interoperable clinico-genomic data products 6x faster.
Although purchased datasets are often labeled as "clean," they still lack interoperability—Polly's pipelines bridge this gap with robust integration and harmonization.
Information Retrieval: Drug safety monitoring teams used Polly's Knowledge Graph powered co-scientist to conversationally retrieve the right cohorts & assess drug response—cutting discovery time by 70%.
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You’ll see live demonstrations of our internal agents where we showcase :
See firsthand how these agents supercharge our workflows across single-cell and spatial bioinformatics, MLOps, and GTM.
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If you’re working with complex biological data, you may be asking:
Can generative AI truly assist in scientific reasoning, not just data analysis?
What does it mean for hypothesis generation, literature review, or even designing experiments?
Could this accelerate—not replace—my discovery pipeline?
Whether you're skeptical, curious, or already experimenting with AI in your lab—this is a session designed to ground your understanding in evidence, not speculation.
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