AWS, Azure, Google Cloud
Workloads are placed against the client's account structure, network boundaries, and operating constraints.
CAPABILITIES / DATA AND PLATFORM ENGINEERING
Cloud and platform
Infrastructure that a client team can operate after we leave, in the client's own account.
What this covers
Containers and orchestration
Images, health checks, and scheduling policies give services repeatable runtime behavior.
Infrastructure as code
Versioned modules create environments predictably and expose every material configuration change for review.
CI/CD
Pipelines build, test, scan, and promote artifacts through controlled environments with rollback points.
On-premises and hybrid
Private connectivity and workload placement keep restricted data inside the required boundary.
How it shows up in the work
ENTERPRISESOne platform for a growing agent workforce.The first agent is a project. The tenth is a platform problem. Shared retrieval, model routing, monitoring, and tuning are what make the second agent take weeks instead of months.NATIONSBuild the trusted national data and AI grid.Institutions hold data that would be worth more together, and they're right to be careful about sharing it. A grid makes sharing governed rather than informal.BUSINESSESOwn the platform your clients use.The portal your customers log into shapes how they experience you. Renting it means living inside someone else's roadmap and paying per seat forever.
WHERE IT FITS
Platform work starts with an architecture review and usually continues through delivery or operate.
