Health data is scattered and messy. Glance brings order to the chaos.
Medical records are spread across portals, claims systems, pharmacies, wearables, and filing cabinets. We build the infrastructure that assembles the full picture — so clinicians can act on complete information, practices can close care gaps, and people finally understand their own health.
Glance
Glance is to health data what Signal is to messaging — private, encrypted, yours. It runs standalone on your phone or computer. No server. No account. No cloud. Your health records are encrypted on your device, and we never see them.
For individuals and nurses: free on your own device — lab interpretation, medication tracking, and reference data all work offline, encrypted locally. For providers, ACOs, and hospitals: EHR linking, HCC risk coding, care gap identification, and quality measure computation — built on CMS DPC and SMART on FHIR.
You don't need permission to own your health data. Purpose-built local models — no third-party AI services touch your data.
Predicato
Predicato is our open-source temporal knowledge graph framework. Extract entities and relationships from documents using local ML models, build knowledge graphs that evolve over time, and query across your entire knowledge base — all without external API calls.
Go library with Python client. Embedded databases and local ML via Rust FFI. Bi-temporal modeling, hybrid search (semantic + keyword + graph traversal), entity resolution, and community detection. No API keys, no vendor lock-in, no recurring costs.
From our team
Perspectives on health data, clinical technology, and why we build the way we build.
Paper forms don't have to be dumb
There’s a recurring debate in nursing that tends to generate more heat than light: paper versus digital documentation...
Read more →The hidden cost of missed Annual Wellness Visits
The Annual Wellness Visit (AWV) is one of the most consistently under-utilized preventive care benefits in Medicare. ...
Read more →Why we built Glance on OMOP CDM
When we started designing Glance, we had a choice: build a proprietary data model optimized for our specific use case...
Read more →Why we don't use LLMs for clinical data transformations
When we started building Glance, one of the earliest decisions we made — and one we’ve held to ever since — was to ke...
Read more →Key partners
