- contact@verticalserve.com
We build AI agents, governed data platforms and streaming on Azure, and our products deploy into your own subscription — your identity, your data, your controls.
The same patterns we use on every cloud: governed data first, agents and copilots on top, people deciding at the edge.
Agents and copilots on Azure OpenAI, with tools, identity and tracing designed for production rather than the demo.
Governed retrieval over documents, wikis, tickets and databases, permission-aware and evaluated continuously.
Lakehouse and warehouse platforms on Azure storage and compute, delivered with our Databricks POD where Databricks is the engine.
Model training, evaluation and deployment pipelines with lineage from every score back to the model version that produced it.
One managed identity per workload, secrets in Key Vault, and attack-path and data-exposure analysis across clouds.
Database, workload and BI migrations with automated validation, so cutover is evidence-based.
BI where the dashboard explains why a number moved, and click analytics with an AI analyst, deployed in your own environment.
Alerts from the cloud's own monitoring become one incident; an agent follows your runbook and writes the root cause down.
Products with documented Azure deployments. Each deploys inside your subscription.
| Product | What it does | On Azure |
|---|---|---|
| InsightClickIQ | AI-native click analytics with an AI analyst. | Container Apps, PostgreSQL Flexible Server, Blob Storage, Key Vault and Azure OpenAI under one managed identity; deployment notes |
| InsightViz | BI where the dashboard explains why a number moved. | Extract-based deployment against Microsoft warehouses; deployment notes |
| InsightResolve | Agentic L1 support and incident resolution. | Common Alert Schema, Log Analytics and Resource Health as evidence; deployment notes |
| InsightFortify | Application security posture: one queue of findings that matter. | Cross-cloud identity and data-exposure analysis; how it works |
Posts from VerticalServe and our product teams on building and running on Azure.