Integration and Deployment
Which healthcare AI vendors offer on premises or VPC deployment?
The AI Health Index grades all 554 vendors on Deployment Model and Data Residency, one of 15 capability axes applied to every record without exception. 35 of 554 vendors grade A, 139 grade B, 351 grade C and 29 grade D. That places this axis 9th of 15 by the number of vendors reaching the top grade. Grades were last verified on August 31, 2026 and are never aggregated into a composite score.
What this axis measures
Documented deployment options (cloud, virtual private cloud, on-premises) along with United States data residency commitments and tenant isolation disclosures.
Buyers also search this as: on premises healthcare AI, VPC deployment, US data residency, tenant isolation, and self hosted clinical AI.
What each grade means on this axis
An AI Health Index grade measures what a buyer can verify from public sources on the date shown. It is not a rating of how good the product is. A vendor can build an excellent system and grade low on an axis because it publishes nothing an outsider can check.
The distribution
Reading the result
Deployment control is the requirement most likely to eliminate a shortlist before a demo, and the one least likely to be answered on a product page. Most of the market is single tenant cloud with a residency statement, and the grade separation comes from whether alternatives are documented as available now rather than described as possible.
Tenant isolation is the detail that repays attention. Shared infrastructure with logical separation and dedicated infrastructure are both accurately described as isolated, and they are not the same purchase. A health system with a specific architectural requirement should ask which one it is getting in writing before the security review reaches the same question later and more expensively.
Where the A grades are, by category
Categories are shown by the share of their vendors reaching an A. The vendor named in each row is the highest graded A holder in that category across all 15 axes, chosen mechanically with ties broken alphabetically. Categories with no A holder on this axis are omitted.
Questions worth asking a vendor
- Which deployment modes can we have this quarter as opposed to on the roadmap?
- Is tenant isolation logical or physical, and what exactly is shared?
- Where does the data sit, and where does model traffic go, which is not always the same answer?
Questions buyers ask
How many healthcare AI vendors grade well on deployment model and data residency?
Of the 554 vendors in the AI Health Index, 35 grade A on this axis, 139 grade B, 351 grade C and 29 grade D under the AI Health Index grading framework. Grades were last verified on August 31, 2026. Grades are not aggregated into a composite score.
What does an A grade mean on deployment model and data residency?
Documented deployment options (cloud, virtual private cloud, on-premises) along with United States data residency commitments and tenant isolation disclosures. Deployment options, residency and tenant isolation are all documented, including where data rests and which processing crosses a border.
What does a D grade mean on deployment model and data residency?
Nothing published about where the system runs or where the data rests. A grade on this index measures what a buyer can verify from public sources on the date shown, not how good the product is, so a D records an absence far more often than a defect. A vendor that publishes more is regraded.
Do vendors pay to be included or graded?
No. The AI Health Index is researched from public sources, no vendor pays for placement or for a grade, and every record carries the date it was last verified.
The other 14 axes
No single axis decides a selection. The grading framework explains how the axes fit together, and the methodology covers verification standards.