Ploid AI: Agentic AI platform to accelerate bioinformatics in life sciences
What used to take days or weeks now takes hours. Ploid AI enables R&D teams to run complex multiomics analyses and automatically generate insights (e.g., publication-ready scientific reports, complex graphics, summary analysis to share) all within a single environment.
Life science research is increasingly data-intensive, and the bottleneck is no longer data generation but data analysis and interpretation. Ploid addresses this challenge by combining state-of-the-art, validated bioinformatics pipelines with large language model agents capable of interpreting results, generating hypotheses, and writing structured scientific articles.
The platform currently supports a broad range of complex analyses, including:
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Single-cell RNA sequencing (scRNA-seq): multi-layered analysis of 10,000 human PBMCs, identifying cell-type specific regulatory networks, druggable targets, and intercellular communication axes.
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Spatial transcriptomics: analysis of Xenium human breast cancer FFPE tissue, mapping tumor microenvironment cell types, immune clusters, and fibroblast heterogeneity using a 280-gene biomarker panel.
Scientific results in hours, not weeks
Ploid is designed to accelerate research cycles: scientists can run their own analyses, without any coding expertise, on validated, reproducible pipelines. Every execution produces a fully traceable and auditable report.
This allows R&D teams to iterate faster on the hypotheses, share results internally from day one, and reduce the dependency on external bioinformatics resources, which in many organisations represents the main bottleneck to moving research forward. Every analysis is transparent, reproducible, and secure by design.
Discover more use cases: https://ploid.ai/case-studies