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Clinical Intelligence Platform
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.
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7× Partner of the Year
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3× Partner of the Year
Elite Partner
Clinical trials take longer than they should
The bottlenecks are predictable: protocol teams cross-referencing PDFs by hand, statisticians catching CDISC errors in final QC, enrollment criteria set without confirming the patient population exists at scale. A single week of delay in a late-stage trial runs into millions.
The eight clinical intelligence accelerators below came directly from conversations with life science clients about where agentic AI could help trial timelines the most.
Where time leaks today
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.
Meet the accelerators
Endpoint intelligence
Outcome Measure Intel
See how specific outcome measures have been used across comparable clinical trials. The agent surfaces usage patterns, endpoint frequency, and study context, so your protocol reflects what the evidence actually supports.
Therapeutic intelligence
TA Radar
Monitor endpoint trends across therapeutic areas as the landscape shifts. The agent maps how trial design choices are moving, giving your team earlier signal on where the field is headed.
Protocol design
Trial Comparator
Select any two trials and get a structured comparison across endpoints, eligibility criteria, arms, and design features. No manual extraction. The agent pulls and organizes the data instantly.
Competitive intelligence
Competitive Landscape
Map the active and completed trial landscape in your therapeutic area before you finalize your protocol. The agent identifies competitor endpoints, enrollment patterns, and design gaps your trial can address.
Regulatory compliance
CDISC Validator
Upload your dataset and get a line-by-line validation report against CDISC standards. The agent identifies conformance errors, suggests corrections, and explains each finding. No specialist dependency required.
Data capture
eCRF Generator
Feed the agent a protocol document and get a structured eCRF draft mapped to your study endpoints and visit schedule. What used to take a CRF designer days takes minutes.
Statistical planning
Trial Power
Enter your study parameters and get a power calculation paired with a competitive benchmark. The agent shows how your planned enrollment compares to similar trials — so you know if your design is realistic before you commit.
Enrollment risk
Eligibility Risk Shield
Upload an inclusion/exclusion criteria set and get an instant risk breakdown. The agent flags ambiguous language, conflicting criteria, and common screen-failure patterns before your first patient is enrolled.
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.
Guide
Unlocking intelligence
Innovation in life sciences is often held back by fragmented data and slow systems. This guide 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.
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
Get a demo
Schedule a 30-minute call with a phData life sciences practitioner to see how the accelerators apply to your program.
- 1:1 with a real expert
- See the tools working on clinical trial workflows
- No commitment required