Clinical Trial AI Software: TrialKit AI Powered by Floyd
Most AI tools generate content. Floyd, the proprietary model behind TrialKit AI, helps build, validate, simulate, and analyze clinical studies directly within the TrialKit platform. From protocol to study execution, Floyd turns clinical intelligence into clinical execution.
What is Floyd?
Floyd is the proprietary AI model developed by Crucial Data Solutions and purpose-built for the TrialKit eClinical platform. Designed specifically for clinical research, Floyd understands TrialKit’s APIs, backend data model, study architecture, and the relationships between protocols, forms, visits, workflows, and study data.
Because Floyd is embedded directly within TrialKit, it does more than generate content. It can transform protocol requirements into configured study components, generate synthetic participants, validate study behavior, and analyze clinical data within the same environment used to build and manage clinical trials. Rather than producing output that must be manually implemented, Floyd helps perform the work of designing, validating, and analyzing studies inside the platform.
Purpose-Built for TrialKit
The difference is not simply the AI model. It’s what Floyd understands.
Floyd was designed to work within the TrialKit platform. It understands the relationships between clinical research workflows, TrialKit’s APIs, backend data model, study architecture, and study configuration. That knowledge allows Floyd to perform work directly inside the platform rather than producing recommendations that must be recreated manually.
By combining AI with an understanding of how clinical studies are built and managed, Floyd functions as an operational layer embedded throughout the TrialKit platform.
Floyd combines knowledge of:
- Clinical research workflows
- TrialKit APIs
- TrialKit data model
- Study configuration
- Synthetic participant data
- Live clinical study data
Together, these capabilities enable Floyd to perform work directly within TrialKit, supporting study design, configuration, validation, and analysis from a single unified eClinical environment.
Why Floyd is Different Than General Purpose AI
From Protocol to Working Study in Minutes
Floyd can use clinical study requirements and protocol content to create the components of a TrialKit study. Instead of generating a document that must then be interpreted and manually recreated in an eClinical platform, Floyd can translate clinical requirements directly into TrialKit configuration. The result is a fundamentally different AI workflow:
Build clinical studies
Transform protocol requirements into configured TrialKit studies by generating eCRFs, field libraries, visit schedules, workflows, edit checks, calculations, participant diaries, and study logic. Floyd creates the foundation of a study in minutes, ready for review and refinement.
Populate with synthetic participants
Generate realistic synthetic participants and study data to exercise workflows before enrollment begins. Test different scenarios and evaluate study behavior without using live participant data.
Validate study configuration
Use synthetic participant data to test edit checks, workflows, calculations, visit schedules, required fields, and protocol logic. Identify configuration issues before first patient in.
Analyze synthetic and live clinical data
Query synthetic and live TrialKit data using natural language to investigate trends, data quality, participant activity, site performance, protocol compliance, and operational metrics.
Compare synthetic expectations with real-world study data
Compare expected study behavior with real-world participant data to identify unexpected trends, operational differences, and potential issues as a study progresses.
Move from Content Generation to Clinical Execution
TrialKit AI, powered by Floyd, combines artificial intelligence with deep knowledge of clinical research and the TrialKit platform to help research teams build, validate, and analyze studies from a single unified environment.
