Clinical & safety data analysis
Signal detection and review over clinical and safety datasets.
- Adverse-event and safety signal review
- Structured review of patient narratives
- Human-in-the-loop triage
Confidence in the evidence.
Analysis of clinical, safety and real-world data for teams under regulatory scrutiny — traceable results that withstand review.
Regulated data has little tolerance for a black box.
Clinical and safety data are expensive, sensitive and reviewed line by line. A model that cannot explain itself is not an efficiency gain; it is a new validation burden.
The promise of AI in drug development is real, but it only survives contact with a regulator if every result can be reproduced and traced. Enthusiasm is not evidence.
Our view: in a regulated setting, explainability is not a feature you add at the end. Traceability has to be designed into the model, the data and the workflow from the first day.
What we do
CapabilitiesReal-world data
Analysis of RWD/RWE where provenance determines whether the result is usable.
- Cohort and endpoint analysis
- Source-attributable results
- Reproducible pipelines
Traceable results
Every output tied to its source records and the model decision behind it.
- Record-level lineage
- Model rationale and confidence
- Reproducible analysis runs
Regulatory-ready documentation
Evidence and documentation prepared for review.
- Audit trails
- Validation support
- Exportable evidence
How we deliver
01
Understand the study
We learn the endpoints, data sources and the standard the result must meet.
02
Train & integrate
We fine-tune and wire the model into your EDC / LIMS and analysis workflows.
03
Validate & assure
We test against known results, document rationale and prepare the evidence for review.
What confidence looks like
Outcomes- Results reproducible and traceable
- Review-ready documentation
- Human oversight on material calls
- Every result attributable to source
Bring us a dataset to interrogate.
We will run a focused analysis on a sample of your own data and show the provenance behind each result — before you commit to anything.
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