Stop wrangling data. Start building breakthroughs.

The real problem: Healthcare’s data bottleneck

There is a common misconception in health tech today that AI adoption is blocked by a lack of access to advanced models. The constraint is not model access—it is governed, usable health data.

The uncomfortable truth is that healthcare's data is often not ready for AI. Organizations are drowning in data that suffers from three constraints:

1. Fragmented: Siloed across incompatible systems, organizations, and geographies.
2. Semantically inconsistent: Trapped in differing code sets, clinical definitions, and non-standard formats.
3. Regulated: Requirements to be met around privacy, consent, compliance, and Data Use Agreements (DUAs).

Fragmented governance combined with chaotic, unstructured data leads to underperforming AI, limited research insights, expensive custom implementations, and poor clinical workflow adoption. While horizontal cloud infrastructure excels at storing health data, Verily Pre makes it usable by people, models, and workflows.

Want to see how we accelerate AI development on sensitive health data?
Read our whitepaper: Advancing precision medicine through multimodal AI to discover how researchers are training foundation models 10x faster

We didn't build Pre just to be another data lakehouse. Pre is built to help unlock the complex, operational AI workloads of healthcare.

By providing end-to-end rails that span ingestion, clinical harmonization, model development, and secure deployment, Pre allows healthcare organizations to move past simple chat tools. It provides a dedicated workspace to develop their own agents/applications/workflows, test and confidently deploy*:
 

• Intelligent care agents: Purpose-built to search, summarize, and understand complex clinical records.
• Research-grade applications: Turn unstructured clinical notes and PDFs into registries and research feasibility dashboards.
• High-velocity research workflows: Orchestrate secure, multi-party data analyses and foundation model development.

Pre powers all Verily solutions, showcasing its versatility for supporting a broad range of research and care workflows. Verily Me-our consumer health app serves as our primary first party care delivery interface.

Verily Me pulls complex, highly fragmented health history across disparate providers and health systems, utilizing Pre’s curation engine to harmonize it into a unified patient record in real time. This very same data foundation powers our private AI health companion, which helps users track symptoms, receive clinician reviewed health recommendations tailored to their treatment plan and log meals.

Verily Me proves to health systems that Pre doesn't just store data—it provides the building blocks to help you translate it into personalized insights.

Pre powers our precision research and care solutions through three core, synergistic data engines:

1. Refinery: The curation engine Refinery rescues your trapped, unstructured clinical data from the dark. It acts as a high-velocity AI curation engine that ingests and harmonizes diverse, multimodal data into Syntax^TM, our clinically-informed, FHIR-native data model. By layering deep clinical rules into the processing pipeline, Refinery slashes manual data abstraction time while matching or exceeding human accuracy.

2. Exchange: The data forum Skip the red tape and turn months of research lag into instant discovery. Exchange is a centralized, secure marketplace that connects researchers with high-quality, multimodal health datasets and AI tooling. It provides frictionless entry for researchers to quickly validate hypotheses, while offering data generators a governed environment to securely showcase and monetize their proprietary data assets.

3. Workbench: The Trusted Research Environment (TRE) Bring your AI to the data, not the other way around. Workbench is an enterprise-grade Trusted Research Environment that allows you to co-analyze your proprietary data against large biomedical cohorts, featuring built-in capabilities for governance and policy enforcement.

By automating data management and providing secure AI infrastructure, Verily Pre enables organizations to accelerate research, such as oncology data curation, and supports large-scale initiatives like the NIH’s All of Us Research Program.

Want to see how we accelerate AI development on sensitive health data?
Read our whitepaper: Advancing precision medicine through multimodal AI to discover how researchers are training foundation models 10x faster.

Verily Pre is already delivering measurable transformation in the real world:
 

• Slashing data abstraction time by 97%: In a strategic oncology collaboration with UCHealth and CU Anschutz, Verily Refinery’s clinical knowledge-augmented AI achieved >95% accuracy on complex variables, compressing 1,200 hours of manual expert review into just 40 hours.
  View case study

• Powering national science at scale: Verily Workbench currently serves as the secure foundation for the NIH’s All of Us Research Program, supporting over 23,000 registered researchers globally as they analyze one of the world's largest genomic datasets.

• Accelerated by NVIDIA: Through our collaboration with NVIDIA, researchers using Pre can leverage native integration with tools like NVIDIA Parabricks and NeMo to train multimodal foundation models 10x faster and accelerate complex genomic analysis from hours to minutes.
  View whitepaper

Every data point is a clue that could change a patient's story. By providing the secure, governed, and highly resolved clinical data foundation the industry desperately needs, Verily Pre ensures healthcare innovators can finally stop wrangling data and start
developing potential treatments for disease.

Download the Full Case Study: Accelerating Oncology Research with AI-Driven Data Abstraction to see the methodology, accuracy benchmarks, and real-world results behind our UCHealth collaboration.

Or, if you're an individual researcher looking to fast-track your work: Sign Up for the Free Verily Pre Standard Tier to explore our data catalog today

*These are example use-cases, and it is the responsibility of the health organization to meet any applicable health authority requirements before getting the market authorization for their agent/application/workflows.