Your patients’ data is scattered. Glance brings it together.
Every provider sees a fragment. We build the infrastructure that assembles the full picture — so clinicians can act on complete information, ACOs can close care gaps before they cost money, and patients finally understand their own health.
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Glance
Your EHR only knows what happens inside your walls. Claims arrive weeks late. External records come by fax. Glance fixes the underlying problem: it pulls records from every source, normalizes everything to OMOP CDM, and surfaces the analytics you actually need — with purpose-built local AI, no third-party data sharing, and no PHI leaving your infrastructure.
For providers and ACOs: HCC risk coding, care gap identification, quality measure computation, and financial analytics — built on CMS DPC and SMART on FHIR. For individuals: a unified health record with lab interpretation, medication tracking, cost transparency, and local-first privacy.
Privacy & safety first. Purpose-built local models — no third-party AI services touch your data. Every algorithm is auditable and runs entirely on your servers.
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
