Our Technology Stack
One portable reference architecture that lets us use the best of every platform while keeping your system yours.
Being model-agnostic only works if the architecture underneath it is disciplined. Our reference stack is the set of patterns we reuse across clients: a provider-agnostic model layer, a retrieval and data layer, an agent and orchestration layer, and an evaluation and observability layer that ties it all together. Each layer is chosen so you can swap a model, a vector store, or even a cloud without rebuilding the system around it.
This is how we deliver on the promise of no lock-in. We compose the best pieces from Microsoft, Anthropic, OpenAI, Google, AWS, and open source, then keep them behind clean abstractions that you own. The stack is portable by construction, deployed in your environment, and documented so your team can operate and extend it long after we are gone.
What we use
- A provider-agnostic model router that makes any model a configuration change
- A retrieval and data layer over your sources with permission-aware access
- An agent and orchestration layer for reliable multi-step, tool-using workflows
- An evaluation harness that scores quality, cost, and latency on real workloads
- Observability, tracing, and guardrails for auditable, governable production AI
We deploy the stack inside your cloud and behind your identity, networking, and cost controls, delivered as infrastructure-as-code so it is reproducible and fully owned by you. The model router lets you route or swap providers without touching application code, the evaluation harness backs those choices with evidence rather than vibes, and tracing makes every agent decision auditable. We integrate with the systems you already run, your data stores, identity provider, and CI, and we hand over documentation and runbooks so your team can operate, extend, and evolve the architecture independently.
Questions, answered
Clean abstractions at every layer. Models sit behind a router, data sits behind a retrieval interface, and orchestration is decoupled from both, so changing a provider, a vector store, or a cloud is a contained change rather than a rewrite. You own all of it as infrastructure-as-code.
No. It is a reference architecture, not a monolith. We start with the layers your first use case needs and grow into the rest as you add use cases, reusing the same backbone so each project gets faster and cheaper than the last.
Let's build the intelligence that moves your business.
Tell us where you're headed. We'll show you what's possible, and exactly how we'd get there together.