Services Cloud and deployment
Cloud and deployment
We deploy Command Center and your agents into your own cloud, AWS, Azure, or GCP, inside your environment and your audit boundary.
- 25+ yrs enterprise IT
- Fortune 500 regulated-data environments
- Founder-led
The problem
Where AI runs decides who carries the risk.
Hand your data to a vendor's shared environment and you have lost the one thing a regulated business cannot lose: control of where sensitive data lives and who can reach it. Production AI has to run where your security and compliance already hold, not on someone else's server.
What we do
Production-grade, in your environment.
- Deploy into your own AWS, Azure, or GCP account, inside your VPC and your audit boundary.
- Infrastructure as code and CI/CD, including Azure DevOps, so deployments are repeatable and reviewable.
- Your data never leaves your environment, and access is scoped and logged.
- On-premise or private deployment when your requirements call for it.
In practice
Reference architecture, by cloud.
- AWS
- Deployed in your account and VPC, using IAM roles for least-privilege access, Secrets Manager for credentials, and CloudTrail and CloudWatch for audit and logging.
- Azure
- Deployed in your subscription, using Entra ID and managed identities, Key Vault for secrets, and Azure Monitor, with Azure DevOps pipelines for repeatable deploys.
- GCP
- Deployed in your project and VPC, using Cloud IAM, Secret Manager, and Cloud Logging.
- Shared-responsibility boundary
- Your cloud provider secures the underlying infrastructure. We deploy and configure the AI system inside your account. You keep ownership of the account, the data, and access. We define where our configuration work ends and your operations begin.
What you get
What we stand up and hand over.
- Command Center and its agents deployed in your own AWS, Azure, or GCP account
- Infrastructure as code and CI/CD, so every deployment is repeatable and reviewable
- Secrets brokered through your cloud secret manager, and identity mapped to your provider with least-privilege roles, never embedded in code
- Logging and audit trails that live inside your environment
- A handover runbook, with optional ongoing senior operations
How Command Center delivers it
Senior engineering, not a handoff.
This comes from decades of Fortune 500 cloud migration and integration work on Azure and AWS. We stand the system up in your environment, wire it to your stack, and leave you with infrastructure you own and can audit.
Is this you
- Who this is for
- Best for regulated businesses that need AI to run where their security and compliance already hold.
- Who it is not for
- Not for teams comfortable running production AI in a vendor's shared, multi-tenant environment.
Questions
Questions leaders ask.
- Does our data ever leave our environment?
- No. Command Center and its agents run in your own cloud account, inside your VPC and audit boundary. Access is scoped and logged, and the data stays with you.
- Which cloud do you support?
- AWS, Azure, and GCP, using each provider native identity, secrets, and logging. We also do on-premise or private deployment when your requirements call for it.
- Who owns and runs it after deployment?
- You own the account, the infrastructure as code, and the audit trail. You can operate it with the runbook we hand over, or keep us on for ongoing senior operations.
If this is on your plate, let's talk.
A short working session is the simplest next step. No pitch, just a clear read on where you stand and what is worth doing next.