Professionals
Advanced AI-Driven Analytics & Risk Management

Key Features
Automation & Customization
Balanced automation with moderate SME engagement, suitable for mid-level complexities (e.g., multi-site coordination, safety tracking).
Focus
Deeper analytics for managing more intricate trial operations, such as regulatory compliance and personalized recruitment.
Regulatory Readiness Manager
Ensures compliance with FDA/EMA submission standards.
Safety & AE Monitor
Tracks emerging adverse event signals for proactive mitigation.
Risk Navigator
AI-driven risk analysis with recommended mitigation strategies.
Persona Based Recruitment Optimizer
AI-assisted patient recruitment and retention modeling.
Enrolment Funnel Insights
Predicts site performance and dropout probabilities.
Investigator Profiling Suite
Identifies the best trial sites and investigators based on historical data.
Optimized Trial Management For Every Stage Of The Process
Feature | Essential | Professional | Enterprise |
|---|---|---|---|
Trial Success Predictor | |||
Competitor Analysis | |||
Risk Management Insights | |||
AI-Based Regulatory Compliance | |||
Real-Time Adaptive Monitoring | |||
Investigator Profiling | |||
Site Activation Optimization | |||
Market Trends Benchmarking |
Users can unlock additional automation and AI capabilities by upgrading tiers.
Support & Services
20 user seats included (additional seats at an additional cost).
Priority support with extended service hours.
Dedicated performance reviews and trial optimization recommendations.
How It Works
From Data to Decisions in 3 Steps
Input trial parameters and protocol.
AI-driven regulatory compliance and risk assessment processing.
Receive a comprehensive optimization report with competitor benchmarking.

Our Report Solutions
Choose from several data-driven reports to refine your clinical trials. Each offers targeted insights drawn from decades of global data. Improve site selection, streamline competitor analyses, and optimise feasibility. Strengthen proposals, reduce risk, and accelerate outcomes.
Together, these reports provide a comprehensive toolkit to design, optimise, and execute clinical trials with precision.

Case Studies
TrialKey supports every trial phase—Phase I to IV—across any therapeutic area.
The case studies show how TrialKey improves outcomes in cancer, neurology, and musculoskeletal trials. Every insight was backed by real-world data and modelling, helping teams cut costs, reduce risk, and improve probability of success.
AI-Driven Revolution in Clinical Trial Success

Unlocking Hidden Insights
Advances in LLMs, NLP, and generative AI, combined with scalable cloud computing, now allow us to synthesize and fill gaps in vast, unstructured clinical data, offering a more complete view of trial outcomes.
Proprietary Models
Data scientists, econometricians, and experts created curated our proprietary data setstailored from incomplete public data sources and built a series of unique models that predict success probabilities, optimize trial designs, and drive more effective decision-making.
Empowering Smarter Teams
With these AI capabilities, smaller, focused teams can achieve results once only possible for the largest enterprises, dramatically reducing failure rates and accelerating R&D.
Subscription Management
Flexible, Scalable, and Customizable
Upgrade or downgrade subscription at any time.
Add-on features available for advanced analytics and automation.
Billing portal for transparent pricing and contract management.
Leveraging the TrialKey AI Advantage
Proprietary Dataset
We've spent over two years curating a unique and extensive dataset, a complex task that required significant effort and expertise, tailored specifically to solve this market problem.
Trial Analysis
While Clinicaltrials.gov reports outcomes for less than 20% of trials, we've expanded this by incorporating data from press releases and peer-reviewed journal articles. Using a scalable LM approach able to categories success/failure
Proprietary Feature Set
Our feature set combines both structured and unstructured data, enabling us to answer highly specific questions, such as determining the level of disease progression in motor neuron disease that gives the best chance of clinical success — a task only possible through advanced language models.
Subject Matter Expertise in Modeling
With deep expertise in data modeling, we've achieved higher accuracy compared to competitors, delivering more reliable insights.
AI-Driven Trial Design, Supervised by Medical Experts
Our platform is powered by a combination of AI/ML specialists and experienced clinical trial professionals, ensuring data-driven decisions are validated by medical expertise.







