Where the AI runs
On-premise, hybrid or public cloud — recorded per entry. The private-AI axis no hyperscaler directory keeps.
Source-verified register · updated 11 Sept 2026
Every entry records where the AI actually runs, which regulations touch it, and the source behind the claim — with every figure checked against that source before it publishes.
Unverifiable entries are unpublished, not softened — takedowns land on the register's own ledger.
The newest entries on the register. Each links to the source behind its claims.
Healthcare revenue cycle company Ensemble Health Partners migrated its EIQ intelligence engine to a Databricks lakehouse with Delta Lake and Unity Catalog, tuning over 5,500 ML models on 25,000+ variables to prevent claim denials and improve revenue yield, achieving a 2x performance improvement and 10x reduction in failure rates.
Healthcare technology company Accolade consolidated fragmented data from AWS Redshift and Snowflake into a Databricks lakehouse with Unity Catalog and built a RAG solution using the open-source DBRX model via Agent Bricks Custom Agents to help internal teams quickly and accurately answer complex member inquiries.
Indian healthcare company Tata 1mg migrated from a legacy data warehouse to the Databricks Data + AI Platform with Unity Catalog and Delta Lake, reducing ETL costs by 50% and enabling over 1,000 non-data business users to access insights for location analytics, delivery route optimization and predictive maintenance.
European payment processor Worldline consolidated data from multiple acquisitions onto a Databricks medallion architecture with Delta Lake and Unity Catalog to unify over 50 billion annual transactions, reducing infrastructure costs by €200,000 per month, lifting team productivity 40%, and increasing scheme reporting speed 93%.
MissionWired used Databricks (Spark Declarative Pipelines, Unity Catalog, Databricks SQL) to process 275 billion donor data points across its Cooperative Email Database aggregating 150+ nonprofit organizations, helping raise $350 million for clients since 2020 with member organizations achieving full ROI within 12 months.
Where the register is deepest today. Every count is the live published set, nothing projected.
Four fields we record on every entry. They are the reason a European buyer can shortlist from this register instead of starting a research project.
On-premise, hybrid or public cloud — recorded per entry. The private-AI axis no hyperscaler directory keeps.
Every entry carries the frameworks that touch it, so a compliance conversation starts from a list instead of a blank page.
Every entry carries a computed 0–100 score in which each point is a named signal on the record. High evidence is unreachable without a primary source and a named customer, and low-evidence entries are hidden until you ask for them.
Every checkable claim is tested against the fetched source, and one unsupported figure fails the whole entry. Nothing publishes on a template, and anything whose source later contradicts it comes down rather than getting softened.
Free to browse. Filter by sector, capability and deployment model, and open the source behind any claim.