Stratum is built to run clinical AI, records, and analytics on-site — designed to work without an internet connection and to keep patient data inside the building by default. Built for rural clinics, field hospitals, and the care settings the cloud leaves behind.
Offline-first · On-device medical AI · Patient data stays local by default
The Stratum stack — every layer designed to run on-site, in strata.
Modern clinical software assumes always-on connectivity, wealthy hospital budgets, and data that's allowed to leave the building. Most care settings on Earth meet none of those assumptions.
Rural clinics, field hospitals, disaster zones, and emerging-market health systems can't depend on a stable internet connection — so cloud-first tools simply stop working when they're needed most.
HIPAA, GDPR, and local data-residency laws make shipping patient records to shared cloud infrastructure a compliance minefield. The simplest posture is data that stays inside the facility.
Enterprise cloud platforms are priced for large hospital systems. The clinics serving the most underserved patients can't carry a five-figure monthly subscription.
Stratum is named for how it's built: layered intelligence, designed to deploy on-site. Each stratum is built to work offline and hand off cleanly to the next.
A local-first clinical database on facility hardware. Patient data stays inside the building by default — privacy is architecture, not policy.
Local inference with open medical models (Google's MedGemma family) — diagnostic support and clinical summarization designed to run without sending data to the cloud.
Diagnostic support, patient communication, triage, and reporting — built for real clinic operations, with everything designed to run on-site at the point of care.
When connectivity exists and the clinic opts in: end-to-end encrypted, user-controlled sync for backups and multi-site networks. Off by default.
Self-contained by design — built to run without internet.
Local-first with opt-in encrypted sync.
Cloud-assisted for multi-site networks.
| Centralized cloud platforms | Stratum Clinical Health | |
|---|---|---|
| Works offline | No — outage means downtime | Offline-first by design |
| Patient data residency | Shared cloud infrastructure | Local by default |
| Processing | Network round trips | On-site, at the point of care |
| Compliance posture | Complex cross-border reviews | Designed around local processing |
| Cost model | Recurring enterprise SaaS | Deployment-based, per clinic |
| Who it's built for | Connected, well-funded facilities | Low-connectivity, low-resource settings |
While cloud platforms compete for the world's best-connected hospitals, Stratum is built for everyone else — the enormous majority of care settings that centralized software struggles to serve.
Rural clinics, field medicine, humanitarian deployments, and emerging-market health systems — a global market cloud-first vendors leave on the table.
Edge-first architecture, a privacy-by-design posture, and on-device clinical AI — a combination that is hard for cloud-first platforms to retrofit.
A deployment-based model designed for efficient expansion into multi-site networks where the need is highest.
Market sizing, traction, and financial model available in the full brief under NDA.
Stratum uses open, locally-deployable medical models (such as Google's MedGemma family) running on facility hardware. Inference happens on-device, so clinical support is designed to work without connectivity and without sending data off-site.
The architecture is built with compliance in mind: patient data is processed and stored locally by default, which is designed to reduce cross-border transfers and shared cloud tenancy. Optional sync is end-to-end encrypted and user-controlled. Formal compliance depends on each deployment and is validated during the pilot process.
Stratum is designed to run on modest, commercially available hardware appropriate for on-premise deployment — sized to each facility during the pilot process.
Stratum can run standalone in facilities with nothing, or alongside existing systems in connected environments — the hybrid model is built exactly for that transition.
We're looking for pilot partners — clinic networks, NGOs, and humanitarian organizations — and speaking with investors who see what the cloud can't reach.
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