Clinical trial analytics · Saama Technologies
Saama
AI-driven analytics platform that sits over clinical trial data to speed data review, query resolution, and reporting.
Saama provides an analytics layer over data already captured by a trial's EDC and other source systems, rather than an EDC system itself. Its platform ingests clinical, operational, and lab data, applies machine-learning models to flag anomalies and data-quality issues, and surfaces operational and patient-level insights meant to reduce time spent on manual data review and query generation. Products include Data Hub for aggregating multi-source trial data, Smart Data Quality for automated anomaly detection, Operational Insights for trial-conduct dashboards, and generative-AI tools for document drafting. Sponsors and CROs typically deploy Saama alongside an EDC such as Medidata, Veeva Vault CDMS, or Oracle Clinical One rather than instead of one, using it to accelerate data cleaning and cross-study analytics on top of that captured data, under the same regulatory data-handling expectations that govern the underlying trial systems.
At a glance
| Vendor | Saama Technologies |
|---|---|
| Pricing model | Quote only |
| Free tier | No |
| Deployment | Cloud |
| Open source | No |
| Best for | Sponsors and CROs wanting an analytics layer that speeds data review across data already captured in an existing EDC. |
Pricing
Sold as an enterprise subscription quoted directly by Saama; no public price list.
Pricing has not been verified yet — see the vendor's site.
Features
- Multi-source clinical data aggregation (Data Hub)
- ML-based anomaly and data-quality detection
- Automated query identification
- Operational and patient-level trial dashboards
- Natural-language query interface over trial data
- Generative-AI document drafting tools
- Pretrained life-sciences AI models
Profile last reviewed September 21, 2026