TrialNav offers an AI‑powered software platform that centralizes and automates clinical trial operations, giving sponsors real‑time visibility into site staffing, workload, budgets, and overall portfolio performance. The tool lets operational leaders forecast staffing requirements, adjust resources, and reduce manual data tracking, with web‑based customization and support that has been applied at sites such as Prisma Health.
Funding
Funding not disclosed
Founders
Product
Problem
Clinical trial operations often rely on manual data tracking and assumptions to determine site staffing, workload, and budgeting, leading to staff burnout, turnover, and trial delays due to inaccurate resource allocation.
Solution
TrialNav provides an AI‑driven, web‑based platform that centralizes operational data and delivers real‑time forecasts for site staffing, workload, and budget needs. By modeling trial complexity and staff expertise, the tool recommends optimal staffing levels, enabling leaders to upsize, downsize, or redistribute resources proactively. Automated tracking eliminates manual spreadsheets, reducing administrative overhead and improving visibility across the trial portfolio. The platform’s analytics help operational teams justify full‑time‑equivalent (FTE) requirements, align budgets with projected workloads, and support strategic growth planning.
Target Audience
Primary users are clinical trial operational leaders, site managers, and portfolio directors who oversee staffing, budgeting, and performance across multiple studies.
Features
- AI-powered forecasting engine that predicts staffing needs based on trial complexity and role expertise
- Real‑time workload and budget dashboards accessible via any web browser
- Automated data ingestion and tracking to replace manual spreadsheet processes
- Scenario modeling tools for up‑sizing, down‑sizing, or reallocating research staff
- Integrated FTE justification reports to support budget approvals and resource planning
- Customizable views tailored to individual trial portfolios and organizational structures