Clinical study data and analytics
Limora brings a study's CRFs, SDTM and ADaM datasets, documents and outputs together, so your team can browse them, discuss them and ask an AI assistant that shows its work.
Built for the files a study already has
How it works
Each study gets its own workspace. Four steps take it from raw files to shared understanding.
Group files by source, such as EDC, SDTM, ADaM, lab and documents. Each data cut is kept as its own version.
Browse forms, the visit schedule, datasets and documents in tabs made for clinical data, with subject filters throughout.
Attach notes and issues to the exact form, field, row or document page they are about.
Put a question to the assistant in plain language. It writes Python, runs it on the study's data and shows you both.
Features
Ask about enrolment, adverse events or anything else in the data. The assistant runs real code against your study and returns the tables and charts along with the code that made them, so a statistician can check every step.
Every upload is a new revision with its own checksum. Nothing is overwritten, and each person chooses which cut they are looking at.
Open any dataset, filter to the subjects you care about and switch on compare mode to see what changed between cuts.
Protocols, SAPs and annotated CRFs are searchable page by page, next to the data they describe.
Raise a question on a single record or page. Everyone sees it right where the data is, not in a separate spreadsheet.
Unblinded content needs its own grant. Without it, those files, records and search results stay hidden, whatever a person's role.
Security and control
Limora was designed for clinical study data from the first line of code.
Each customer runs in a separate AWS account, with its own database and storage.
Records are retired or superseded, never removed, and every file revision is kept.
Changes to membership, roles, unblinding and records are written to an append-only log.
People see only the studies they belong to, as a viewer, collaborator or owner.
Assistant code runs in a sandbox with read-only, short-lived access to one study.
Every sign-in needs an emailed code, and sessions end after 30 minutes of inactivity.
Limora is a workspace for exploratory review. It holds a convenience copy of your study data, never the authoritative record, and results should be validated in your own systems.
We'll walk you through the workspace and answer your team's questions.
Request a demo