Multi-dataset workspaces
Load baseline, middle and after cohorts side by side and give each dataset its role in the study.
Atlas is an agent-assisted data-exploration workbench for scientific research teams. It helps a lab move from thousands of data points to focused findings, with the scientist approving every step that touches the data.
Load baseline, middle and after cohorts side by side and give each dataset its role in the study.
Ask for PCA, differential expression, pathway enrichment or heatmaps in natural language instead of writing scripts.
Upload papers and protocols as PDFs; the assistant cites them when it answers.
Super-admin, admin and user roles with project-level permissions, so each lab controls who sees what.
Atlas is an agent-assisted data-exploration workbench for scientific research teams. Its first vertical is biomedical genomics, starting with microRNA (miRNA) expression analysis.
University and scientific research teams that need to move from large exploratory datasets to focused, defensible findings.
No. Atlas follows the principle that the assistant proposes and the scientist decides: data-touching actions are reviewable rather than silent autonomous edits.
Prompts and generated content are sent to the AI provider Atlas is configured to use. Talk to us about your data-handling requirements before loading sensitive or regulated research data.
Talk to us about your study and datasets, and we'll set up a workspace for your team.