Four disciplines, one accountable team. We can start anywhere, but we rarely stop at one.
01
Systems Architecture
The infrastructure decision that determines whether AI scales with your business or collapses under it. We design the model-serving, data, and integration layers before a single production dollar is spent.
→Model-serving and inference infrastructure design
→Data and retrieval pipeline architecture
→Build-vs-buy and vendor evaluation
02
Model Operations
Production AI reliable enough to put your name behind. We stand up the deployment, monitoring, and lifecycle management most teams only discover they need after an incident.
→Deployment pipelines and rollback procedures
→Drift, latency, and cost monitoring
→On-call runbooks and incident response
03
Retrieval Infrastructure
Answers your business can trust, backed by data pipelines built for accuracy at scale. We fix the retrieval layer most RAG projects treat as an afterthought.
→Chunking, indexing, and embedding strategy
→Freshness and source-of-truth pipelines
→Evaluation harnesses for answer accuracy
04
Governance & Reliability
Guardrails and audit trails your board, regulators, and customers will all sign off on. Built into the system, not bolted on before an audit.
→Access control and audit logging
→Policy and compliance guardrails
→Red-teaming and failure-mode testing
Not sure where to start?
Run a two-week diagnostic sprint first. You'll get a system architecture and a costed build plan before you commit further.