AI That Accelerates Clinical Trials from Protocol to Enrollment
phData’s Clinical Intelligence Platform gives life science teams eight production-ready AI accelerators that cut time across the clinical trial process. Every week saved is worth millions. These tools are built, tested, and deployable in your environment.
7× Partner of the Year
Partner Network
Preferred Partner
3× Partner of the Year
Elite Partner
Clinical trials take longer than they should
The bottlenecks in the clinical trial process are predictable: protocol teams cross-referencing PDFs by hand, statisticians catching CDISC formatting errors in final QC rather than mid-workflow, enrollment criteria set without checking whether the target patient population actually exists at scale.
Each of those bottlenecks has a cost. A single week of delay in a late-stage trial can run into millions of dollars. Most life science organizations know where the time goes, but they lack the tools to systematically remove it.
Where time leaks today
- Protocol teams cross-referencing PDFs by hand
- Statisticians catching CDISC errors in final QC
- Enrollment criteria set without checking real population data
- Regulatory monitoring handled manually by protocol writers
$1M+
Per week of late-stage delay
The cost of doing nothing compounds every sprint a trial slips.
The Clinical Intelligence Platform
8 AI Accelerators
phData Forgeâ„¢ Sprints
Deployed in your environment
Production-ready
The Clinical Intelligence Platform is phData’s platform of eight AI-driven accelerators for clinical trial development. Each one targets a specific, high-friction point in the process, such as converting protocol documents into electronic data capture (EDC) formats, validating statistical outputs against CDISC standards, checking enrollment criteria against real-world population data, and more.
See how AI accelerates clinical trial processes
Watch the three-minute overview to see how each accelerator works and where it fits in the clinical trial process.
What changes when these tools are in production
Errors caught mid-workflow, not in final QC
The CDISC Validator runs during statistical work. Teams that use it stop treating QC as a discovery phase. Rework cycles shrink.
Enrollment criteria grounded in real populations
The Eligibility Risk Shield checks your criteria against actual population data. Trials built around theoretical patients underenroll. This tool moves that risk assessment to the design stage, where fixing it costs nothing.
Protocol teams writing to current regulations
TA Radar brings FDA and EMA regulatory developments to your protocol writers automatically. Teams stop depending on manual monitoring to stay current.
Field teams with calculated evidence​
The Trial Power Dashboard gives science writers and medical SME’s a structured, calculated comparison of trial evidence strength versus competitors, so evidence collected can be an asset for sales and MSLs.
Document conversion measured in hours, not days
The eCRF Generator moves protocol PDFs into EDC-ready formats and marks amendment impacts in the source document. What was a multi-day manual process runs in hours.
Unlocking intelligence
Innovation in life sciences is often held back by fragmented data and slow systems. This e-book explores how leading organizations are moving toward a unified approach, connecting data into a single intelligence layer for faster, more confident decisions.
Client success stories in life sciences
The Clinical Intelligence Platform delivers measurable results across diverse life science workflows, from enterprise data foundations to real-time analytics.
Pharmacy Benefits Manager (PBM)
1.5M+
daily claims processed
Challenge
Recurring ODS production failures; unstable platform and unreliable data.
Outcome
Pipeline reimplemented; now fully stable/compliant, processing 1.5M+ daily claims (2B+ total) across 174 tables.
NextGen Healthcare
Days → Hours
onboarding time
Challenge
Health data locked in complex JSON formats, limiting HIE customer access and insights.
Outcome
Modern analytics solution deployed in 12 weeks; onboarding automated, reducing setup time from days to hours.
Built on deep partner relationships
The Clinical Intelligence Platform uses advanced document intelligence technology and can be deployed within the cloud or data platform environment that best fits your infrastructure, with phData bringing together the right delivery partner, AI model partner, and cloud or data platform ecosystem.
Want to take weeks off your trial timeline?
If you’re working on any part of the clinical trial process, like protocol development, EDC setup, statistical validation, or enrollment, there’s an accelerator built for it.
Frequently asked questions
How does AI accelerate clinical trial processes?
AI accelerates clinical trial processes by automating the high-friction, manual steps that slow protocol teams down — converting protocol PDFs into electronic data capture (EDC) formats, catching CDISC (Clinical Data Interchange Standards Consortium) formatting errors mid-workflow rather than in final QC, and flagging enrollment risks before a trial starts. phData’s Clinical Intelligence Platform delivers eight production-ready accelerators that target these bottlenecks directly, each deployed through phData Forgeâ„¢ sprints into your existing data environment.
How does the Clinical Intelligence Platform fit into the clinical trial process?
The Clinical Intelligence Platform deploys into your existing cloud or data platform environment — Snowflake, AWS, or whichever infrastructure your team already runs. phData doesn’t require you to replace your EDC system, migrate your data, or rebuild pipelines; the accelerators connect to what you have. If your organization has already made investments in data infrastructure, those investments carry forward, and the Forgeâ„¢ sprint model means you’re adding production-ready tooling on top of them, not starting over.
How long does it take to deploy one of the Clinical Intelligence Platform accelerators?
Each accelerator deploys through a phData Forgeâ„¢ sprint, phData’s AI-native sprint methodology, and delivers a working, validated tool by the end of that cycle. Patterns established in one sprint carry into subsequent ones, so each additional accelerator deploys faster than the last. Deployment happens in your existing cloud or data platform environment, with no requirement to migrate data or rebuild infrastructure.
How does agentic AI for clinical trials differ from standard automation?
Agentic AI for clinical trials goes beyond rule-based automation by interpreting unstructured documents, reasoning across multiple data sources, and generating outputs that require clinical and regulatory context. The eCRF Generator, for example, uses Anthropic Claude to read protocol PDFs, extract form elements with confidence scores, and map them to EDC-ready formats — work that previously required a protocol team member to do manually, page by page.
What types of life science organizations does the Clinical Intelligence Platform support?
The Clinical Intelligence Platform supports biopharmaceutical and biomedical device organizations working on any part of the clinical trial pipeline, from protocol development and EDC setup through statistical validation and enrollment. The eight accelerators were built from direct client engagements with life science teams running active programs, so each tool addresses a documented bottleneck rather than a hypothetical one.
Get started
Request a demo
Tell us about your clinical trial challenge. A phData life sciences expert will follow up to discuss how to accelerate AI in your organization.
