Enterprise AI architecture built for mid-market operations
We design and build production-grade AI systems: agentic workflows, RAG architectures and full-stack AI infrastructure, integrated directly into your existing operations. No prototypes. No hand-offs. We stay until it works.
You have probably seen one of these already.
The problem is not AI. The problem is that the people who know AI do not know your operations, and the people who know your operations have never actually built a production AI system.
- A proof of concept that never goes liveImpressive in the demo, never connected to real data or real users.
- A vendor who disappears after deliveryThe system breaks the first time the business changes and nobody is there.
- A system that works in a demo but falls apartBuilt in a sandbox against simulated data, not against your ERP.
Production systems, not prototypes
Agentic AI Systems
Multi-step autonomous workflows that take real action, not just generate output. Every system is built on production-grade agent frameworks with logging, guardrails and failsafes designed for business-critical operations.
RAG Architecture
Retrieval-augmented generation systems that connect large language models to your internal knowledge: documents, databases, ERPs and SOPs. The model answers based on your business context, not generic training data.
LLM Integration & Orchestration
We select, configure and deploy the right model for the job, then integrate it into your existing tech stack.
AI Infrastructure & Ops
The infrastructure that keeps AI systems running at the production level: monitoring, versioning, retraining pipelines and performance management.
Founder-led. Family-owned. Portfolio-backed.
We work with founder-led mid-market companies, family-owned businesses modernizing their operations, and portfolio companies preparing for scale or exit.
This is not for enterprise companies with dedicated ML teams. And it is not for anyone looking for a quick prototype.
"We build in your environment, connected to your real systems. No sandboxes, no simulated data. And we don't hand off until the system is stable and your team is confident."
Ed Hitchcock, Principal AI Systems ArchitectFour phases from discovery to a system you own
Discovery & Architecture
We assess your current stack, data and operational workflows, then design an AI architecture that fits the way your business actually runs, not a generic blueprint.
Build & Integration
We build in your environment, connected to your real systems. No sandboxes, no simulated data.
Deploy & Stabilize
We stay through go-live, fix what breaks in production, and don't hand off until the system is stable and your team is confident.
Operate & Evolve
We provide ongoing support, monitoring and iteration as your operations scale and your requirements change.
Proven operational impact
Ready to build something real?
We work with a small number of clients at a time. If you're evaluating AI architecture partners, the best next step is a direct conversation.