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We build AI agents, governed data platforms and Kafka streaming on AWS, and our products deploy into your own account — 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 Amazon Bedrock, with tools, identity and tracing designed for production.
Governed retrieval over documents and systems of record, permission-aware and evaluated continuously.
Lakehouse and warehouse platforms on S3 and AWS compute, delivered with our Databricks POD where Databricks is the engine.
Amazon MSK and Kafka platforms, event-driven pipelines and migrations, delivered with our Kafka POD.
Training, evaluation and deployment pipelines with lineage from every score to the model version behind it.
Secrets Manager, least-privilege roles, and attack-path and data-exposure analysis across clouds.
Agent-assisted cloud and database migrations: inventory, transformation and validation, with a governed knowledge base the agents share.
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 AWS deployments. Each deploys inside your account.
| Product | What it does | On AWS |
|---|---|---|
| InsightViz | BI where the dashboard explains why a number moved. | The reference deployment, and the one we run ourselves; deployment notes |
| InsightClickIQ | AI-native click analytics with an AI analyst. | One container, managed Postgres, S3, Secrets Manager and Bedrock; deployment notes |
| InsightResolve | Agentic L1 support and incident resolution. | CloudWatch alarms, EventBridge events, ECS and load-balancer 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 AWS.