Discovery
Clarify the business question, users, acceptance criteria, constraints, and ownership model.
Consultancy
Practical AI systems consultancy for architecture and delivery decisions.
We work with teams that need a concrete plan for using AI in production: what to build, what to measure, where risk sits, and how the system will be operated.
Architecture
Define application, model, data, infrastructure, and operational boundaries.
RAG and data flow
Design retrieval, enrichment, data movement, retention, and validation paths.
MLOps and observability
Plan release workflows, health checks, logs, metrics, alerts, and review loops.
Security review
Identify sensitive data paths, access controls, secrets handling, and vendor exposure.
Cost and capacity
Estimate cost drivers and capacity constraints with clear assumptions and update points.
Contact
Discuss an AI system, deployment, or infrastructure decision.
Send context about the workload, deployment target, constraints, and decision timeline. The website has no contact form and sends no data itself.