● Service · Cloud AI (Azure, AWS, GCP)
Cloud AI (Azure, AWS, GCP)
Ship AI on the hyperscaler you already trust — with reference architectures for each.
● Problems we solve
Why enterprises engage us
- Enterprise standardized on one hyperscaler
- Data residency, sovereignty, and security constraints
- Need native integration with existing cloud tooling
● Deliverables
What you get
- Reference architectures on Azure, AWS, or GCP
- Landing zone and identity integration
- AI service integration (Azure OpenAI, Bedrock, Vertex, Fabric)
- Cost, observability, and FinOps setup
● Outcomes
What good looks like
- AI running natively on your cloud
- Existing security/identity honored
- Cost visibility from day one
Ideal client
Enterprises with an existing hyperscaler standard for cloud and data.
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