Phase 3 of 4: Systems & Infrastructure
We build on
what you already have.
Not bolt-ons. Not replacements for things that work. We audit what exists, build what is missing, and connect the two. Shipped to production. Runs without babysitting.
Infrastructure & systems work
What we build and why it holds.
Containers, CI/CD, MCP servers, IaC, security. Built on your existing environment wherever possible. Extended where needed. Replaced only where necessary.
Infrastructure Buildout
Built on your existing environment wherever possible. Containers, orchestration, cloud or on-prem, whatever the spec requires. Extended where needed, replaced only where necessary.
CI/CD Pipelines
Automated build, test, and deploy for every service. Changes go through a gate, not straight to production. Every MCP server, data pipeline, and integration runs through it.
Container Orchestration
Docker, Kubernetes, or lighter orchestration depending on scale. MCP servers, AI inference endpoints, and data services run as managed, monitored services.
MCP Server Development
Model Context Protocol servers that give AI governed access to read your data and take action in your systems. Built to the schema your ontology defined.
Security & Governance
Access control, audit logging, role-based permissions, staging environments. Security is built in from the start, not retrofitted.
Infrastructure as Code
Reproducible, version-controlled, auditable environments. Your infrastructure is code, reviewed like code, deployed like code, and recoverable like code.
Integration work
Connect what exists. Normalize to the model.
Existing systems get connected, not replaced. We build the integrations that enforce your semantic model across every system that touches your data.
API Design & Integration
Well-documented, versioned APIs built to the schema your ontology produced. Systems get a contract they can depend on, not a guess at what the other side sends.
MCP Integration Layer
MCP servers that give AI agents governed, contextual access to your business systems. Read data. Take action. Stay within defined boundaries.
Legacy System Integration
Bring old systems into the semantic model without replacing them. We normalize legacy data against your ontology so it plays by the same rules as everything else.
Real-Time Data Sync
Event-driven data movement that keeps your data model current. Webhooks, event streams, message queues: objects in sync, not raw table dumps.
Third-Party Platforms
CRM, ERP, HR, finance, logistics, e-commerce. External data mapped to your semantic model so "Customer" means the same thing no matter where it came from.
Event-Driven Architecture
Decouple your systems. Events trigger the right processes. No polling. No blocking. Designed around what is actually meaningful to your business.
Know what you have before you build.
The AI Readiness Assessment tells you where your infrastructure and systems actually stand. Free. 5 minutes. Start there.