News|Articles|September 28, 2023

ProofPilot to Integrate Lilly's Magnol.AI™ Sensor Cloud Into its Clinical Trial Automation Platform

ProofPilot has announced a strategic collaboration with Eli Lilly and Company (Lilly) to offer Lilly's patent-pending, sensor cloud platform, Magnol.AI™, a platform that enables management of high-frequency sensor data with security, as part of ProofPilot's technology solution.

For the first time, Lilly is out-licensing its technology. This technology-focused collaboration with Lilly and ProofPilot will enable both companies to help the broader research community to execute digital health research, helping to accelerate pre-competitive biomedical research.

"We are thrilled to collaborate with Lilly and leverage its industry-leading sensor cloud, further strengthening our commitment to provide our customers with the most advanced solutions and enable flawless execution of clinical research" said Chris Venezia, CEO of ProofPilot in a press release. "By integrating Magnol.AI™ into our platform, researchers finally have a one-stop, comprehensive solution to execute digital health research and deliver sensor data-driven insight with the highest quality."

Magnol.AI™ is Lilly's sensor cloud platform that allows for ingestion, visualization, and extraction of high-frequency sensor data with security. It is able to ingest and align a wide array of raw data from wearables, devices, and beyond in a clear time-series format. When aligned with clinician and patient reported outcomes, Magnol.AI™ enables real-time data science capabilities for digital health and digital biomarker research.

ProofPilot's mission is to perfect clinical research execution by orchestrating technology, tasks, content, and communication through its clinical trial automation platform. When combined with Lilly's sensor cloud Magnol.AI™, ProofPilot delivers a data science solution to digital health and digital biomarker researchers around the world. With this new integration, any researcher can now have access to a digital health research platform that combines data collection, sensor ingestion, device management, and participant engagement.

Reference

ProofPilot To Integrate Lilly's Magnol.AI™ Sensor Cloud Into Its Clinical Trial Automation Platform. (2023, September 28). Cision PR Newswire.

Stay current in clinical research with Applied Clinical Trials, providing expert insights, regulatory updates, and practical strategies for successful clinical trial design and execution.

Related to this article

November 6th, 2026

What FDA Inspections Reveal About the Quality of APAC Clinical Trial Sites

In this video interview, James Cheong, senior vice president of Asia Pacific at Precision for Medicine, explains how FDA inspection findings at APAC sites compare with those in the US and Europe, and why the common issues, such as informed consent versioning, are not unique to the region.

November 6th, 2026

ACT Brief: Asia Pacific Site Perceptions, Community Access Gap, and VeonGen Gene Therapy Alignment

In today’s ACT Brief, we examine why outdated views of Asia Pacific trial sites persist, how community access gaps reflect both patient costs and site infrastructure, and how VeonGen has aligned with the FDA on a pivotal gene therapy trial design.

Ten key risk indicators can flag recurring good clinical practice problems in noncompliance, safety, data quality, and oversight, but only when normalization, trial timing, and combined signals are taken into account. Credit: Stock.Adobe.com/Andrey Popov.

November 6th, 2026

The 10 Most Powerful Study KRIs in RBQM and GCP Issues They Can Prevent

Risk-based quality management depends on knowing what to monitor and on interpreting what the signals mean.

November 5th, 2026

Why Outdated Perceptions of APAC Clinical Trial Sites Persist Among Smaller Biotechs

In this video interview, James Cheong, senior vice president of Asia Pacific at Precision for Medicine, explains how regulatory reform and inspection data contradict the view that APAC sites are slower or lower quality, and why sponsors need to update their assumptions.

November 5th, 2026

Closing the Community Access Gap: Q&A with Kent Thoelke, Paradigm Health

In this Q&A, Kent Thoelke, CEO of Paradigm Health, discusses why participation gaps in community and rural settings come down to both patient cost barriers and site infrastructure, how legacy workflows weigh on community clinics, and what policy and technology changes it would take to make clinical research a real care option for more patients.

November 5th, 2026

ACT Brief: Capturing Trial Friction, AI Matching Model Comparisons, and Boehringer’s Oncology Deal

In today’s ACT Brief, we examine how capturing friction in real time can reveal site burden, how OpenAI and Mistral compare on clinical trial matching, and how Boehringer Ingelheim is licensing early-stage oncology programs from SBP Group.

November 4th, 2026

Comparing OpenAI and Mistral on Clinical Trial Matching

Mistral and OpenAI produced identical overall eligibility labels across 200 synthetic patient-study assessments, with criterion-level disagreements concentrated in inclusion criteria where models switch between “Uncertain” and “Not included” when records lack sufficient evidence, so model choice should be driven by deployment architecture, control, and cost rather than assumed interchangeability.

November 4th, 2026

The Human Side of Clinical Trials: Before Burden Becomes Risk, Capturing Friction in Real Time

In Episode 4 of The Human Side of Clinical Trials, host Brian S. McGowan, PhD, FACEHP, chief learning officer and co-founder of ArcheMedX, Inc., speaks with Jason Riis, PhD, CEO and chief behavioral scientist at Behavioralize, about how capturing friction closer to the moment it happens can reveal unclear instructions, technology friction, and workarounds that retrospective surveys and debriefs tend to miss.