AI & LLM platform architecture
A target-state architecture that connects models, enterprise data, APIs, identity, observability, and delivery workflows without replacing the systems you already trust.
Enterprise AI platform
Build the AI layer your enterprise can govern, operate, and scale.
CortexStack designs and ships enterprise AI and LLM platforms that connect to your existing cloud and data stack—so teams can move from isolated pilots to secure RAG, agents, models, and intelligent applications in production.
Platform capabilities
One governed foundation from data to user experience
The platform is not another disconnected tool. It is a set of reusable architecture, engineering, and operating patterns that let your data, AI, security, and product teams deliver together.
Secure RAG and agent foundations
Role-aware retrieval, citation-backed answers, human approval points, evaluation gates, and audit trails for AI experiences operating on private data.
MLOps and LLMOps
Repeatable pipelines for models, prompts, agents, and datasets with versioning, quality checks, promotion controls, monitoring, and rollback plans.
Application and adoption layer
Web, mobile, and workflow interfaces that turn platform capabilities into useful products for employees, operators, partners, and customers.
Reference architecture
Connect, build, operate, and scale
We adapt the architecture to your controls and platforms instead of forcing a rip-and-replace program.
- 01
Connect
Integrate warehouses, lakes, documents, streams, catalogs, APIs, and identity providers through governed interfaces.
- 02
Build
Standardize reusable RAG, agent, model-serving, evaluation, and human-in-the-loop patterns for product teams.
- 03
Operate
Measure quality, latency, cost, safety, and business outcomes with release gates and accountable ownership.
- 04
Scale
Expand proven patterns across teams and business units while preserving security, traceability, and platform consistency.
What you leave with
A credible path from pilot to platform
Start with an architecture assessment, continue into a platform build, or focus on one production use case. Every engagement is designed to leave your team with reusable patterns rather than a one-off demo.
See our Assess → Align → Execute method- A reference architecture aligned to your cloud, data, security, and integration landscape
- A prioritized roadmap from current pilots to a reusable enterprise AI foundation
- Production patterns for RAG, agents, evaluation, observability, and human oversight
- A flagship use case shipped with documentation and a clear operating model
Enterprise AI platform questions
Do we need to replace our data platform?
No. CortexStack connects to the warehouses, lakes, document stores, streams, identity systems, and cloud services you already operate.
Can the platform run inside our cloud account?
Yes. Deployment architecture is selected around your networking, data residency, identity, security, and operational requirements.
How do you keep RAG and agents reliable?
We combine access controls, citations, evaluation datasets, regression gates, monitoring, human approval points, and documented rollback paths.
Where should an enterprise start?
Begin with a bounded assessment and one high-value use case. That creates the architecture and operational patterns needed for broader adoption.
Turn your AI pilots into an enterprise capability
Share your current stack, use cases, and constraints. We will map the architecture, delivery sequence, and fastest credible route to production.