Today, pharmaceutical companies largely rely on institutional memory, medical expertise, and intuition to design clinical trials. We would like to change this.
We envision an integrated technology platform - with pre-built data ingestion pipelines, AI models, and an intuitive user experience - all built on AWS services.
- Data Ingestion Pipelines - Ingest, integrate and standardize historical clinical trial scientific and operations data and real world data.
- NLP Pipelines - Extract insights from historical clinical trial protocols, both from your internal repositories and industry databases such as the Clinical Trials Transformation Initiative
- Predictive Models - Understand the impact of trial design decisions on downstream metrics such as feasibility, cost, cycle time, and quality risk (e.g., Predictive Site Health™, Patient Burden, Enrollment Timeline)
- Intuitive User Interface - Manage your trial portfolio, build and optimize trial design scenarios and collaborate across the asset team
By making more informed decisions at the beginning of the clinical trial design and planning lifecycle, you can proactively help reduce the risk of costly delays and protocol amendments - ultimately accelerating time to market and bringing potentially life saving treatments to patients faster.
Capabilities we can help deliver
Digitize Protocols
With text extraction and NLP pipelines, make historical clinical trial protocols machine readable
Improve Eligibility Criteria
AI models help you see the predicted impact of your inclusion / exclusion criteria choices on screen failure rate, enrollment feasibility, and diversity
Improve Schedule of Activities
Predictive models help you understand the likely patient burden and cost of your trial and improve the schedule of activities accordingly, including activity virtualization recommendations
Select Countries & Sites
Optimization algorithms suggest a list of countries and sites for your trial, based on your prioritized metrics (e.g., enrollment speed, cost, quality risk, Predictive Site Health™, and diversity)
Impact of Intelligent Clinical Trial Design
Reduction in Trial Cycle Times
Revamp trial design to improve enrollment timelines and reduce likelihood of protocol amendments and delays
Reduction in Trial Costs
Improve schedule of activity design, country allocation, and site selection to reduce costs
Innovation with Data Driven Insights
Leverage insights from your trial archives and real world data to design trials that are hybrid or decentralized, explore master protocol usage and adaptive designs, and reach more diverse populations
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