Sponsor
Greater visibility over data availability, quality and progression, with less uncertainty before lock.
Clinical trials
A clinical AI layer that cuts time in every phase of the trial.
Latrikos turns clinical documentation and source data into structured, traceable information ready for review. It fits into the workflow of the sponsor, the CRO and the sites, complementing the EDC and reducing manual work from feasibility through database lock and post-study follow-up.
- 1
Design
- 2
Activation
- 3
Recruitment
- 4
Capture
- 5
Monitoring
- 6
Cleaning
- 7
Close-out
- 8
Post-trial
Latrikos feeds each phase from the existing medical record
Latrikos layer- Prepares
- Structures
- Makes traceable
- Eligibility criteria
- Baseline variables
- Progress and events
The trial, phase by phase
From design to post-trial.
Variables, endpoints and feasibility.
Mapping of sources and sites.
Pre-screening and eligible cohorts.
Historical data and follow-up.
Source, queries and discrepancies.
Consistency, units and missing data.
Export and database lock.
Longitudinal follow-up and RWE.
Capabilities a trial requires.
Traceability and audit
- Traceability of every value to document, date and source fragment.
- Change history, review and audit.
Identity and control
- Distinct roles for data entry, investigator, monitor and administration.
- Electronic signature and re-authentication where the workflow requires it.
Quality and output
- Quality rules, temporal consistency and unit control.
- Configurable exports for EDC and statistical tools.
Adaptability
- Workflows adaptable to phase II, phase III, observational and post-authorisation studies.
What each team gains.
CRO
Less load in capture, monitoring, queries and cleaning, while keeping the study’s approval workflow.
Investigator site
Less repetitive review and more time for recruitment, patient care and clinical decisions.
Data management
More consistent datasets, early quality rules and exports prepared for the trial’s systems.