Automating clinical trial execution through AI-driven biostatistical workflows
Hill Research is an AI-powered clinical research organization that is tackling one of the biggest bottlenecks in drug development: turning raw clinical trial data into the statistical packages the FDA requires for drug approval. Currently, this work is largely done by hand and takes traditional CROs hundreds of hours per study. Hill Research’s platform, TriClick, automates that workflow with AI agents, cutting weeks of work down to hours while keeping a human in the loop for compliance. They are already generating real revenue, working with a large pharmaceutical company, and their productivity per employee is roughly five times that of a traditional CRO. Jetstream sees this investment as an opportunity to back an AI-native company in a $90 billion market where AI penetration is still in the low single digits.
Company Snapshot
Industry: Healthcare Technology, Clinical Research, AI
Sector: Healthcare / Clinical Infrastructure / Artificial Intelligence
Focus: Biostatistical Programming, Clinical Trial Execution, TFL Generation
Technology: AI-Driven Automation, Agentic AI Systems, CDISC-Compliant Output Generation
Stage: Series A
Headquarters: Princeton, NJ
Website: www.hillresearch.ai
Portfolio Manager Perspective
Hill Research is solving a core execution bottleneck in clinical trials. As complexity increases, platforms that make required workflows faster and more reliable become essential to how the system operates.
— John Shufeldt, MD, JD, MBA, FACEP, Portfolio Manager
Company Overview
Hill Research has developed TriClick™ Stats, an AI-powered system designed to automate the generation of Tables, Figures, and Listings (TFLs), a core requirement in clinical trial reporting.
The platform translates statistical plans and clinical data into CDISC-compliant, submission-aligned outputs, generating reproducible SAS and R code within a structured and traceable workflow.
By embedding automation directly into biostatistical execution, Hill Research enables teams to operate with greater consistency, reduced iteration cycles, and faster turnaround times, while maintaining alignment with industry data standards.
The Problem
Clinical trial execution remains heavily dependent on manual statistical programming, fragmented workflows, and slow data refresh cycles.
These challenges create meaningful constraints:
- Long development timelines driven by repetitive programming work
- Increased operational risk due to manual processes
- High costs associated with large programming teams
- Delays in delivering new therapies to market
While other areas of healthcare have adopted automation, biostatistics has remained largely unchanged due to its complexity and regulatory requirements.
Why Hill Research Stands Out
Unlike horizontal AI tools or discovery-focused platforms, Hill Research is purpose-built for execution within regulated clinical environments.
What sets the company apart:
- Submission-Aligned Outputs: Designed for FDA-regulated workflows, producing compliant, audit-ready deliverables
- AI-Driven Workflow Automation: Reduces iteration cycles and minimizes communication bottlenecks
- Deep Standards Integration: Built around CDISC requirements and TFL workflows, enabling seamless adoption within existing processes
- Human-Supervised Automation: Maintains expert oversight while removing repetitive manual programming
- Step-Change in Efficiency: Can significantly reduce timelines for TFL generation from months to hours in certain workflows
Together, these capabilities position Hill Research as a foundational layer in modernizing clinical trial execution, in our view.
Why We Invested
Hill Research we believe sits at the intersection of infrastructure, execution, and regulatory alignment within clinical development.
As trial complexity increases and pipelines expand, the ability to execute efficiently becomes as important as scientific innovation itself. Platforms that reduce friction in required workflows have the potential to reshape how the broader system operates.
Jetstream invested because companies operating within critical execution layers in regulated environments often become deeply embedded across the ecosystem. Hill Research represents an opportunity to gain exposure to a platform improving how clinical trials are run, with direct potential implications for speed, cost, and scalability across the industry.
Leadership
Hill Research is led by a team with deep expertise across artificial intelligence, clinical research, and biostatistics.
- Louise Liu, PhD, MBA – CEO & Co-Founder
- Jack Li, PhD – CTO & Co-Founder
- Rui Wu, PhD – Chief AI Officer
