We build AI systems and AI Agents that pass audits and run reliably in production.
Not demos. Not isolated pilots. We help teams move from prototypes to production-ready AI with measurable quality, controllable costs, and clear governance.
Most AI initiatives don’t fail because the model is bad. They fail because approvals are missing, quality isn’t measured, costs are unclear, or operations can’t safely run the system after the demo. That’s the gap we close.
Typical situations where we get involved:
A pilot works, but approvals, operations, or a cost model are missing
Agents must integrate into real systems and existing workflows
Quality, drift, and error rates are discussed, but not measured via Evals
LLM costs can’t be attributed per use case/workflow (missing AI FinOps)
Security, compliance, or audit teams require verifiable documentation
What we deliver:
Production architecture for AI systems & agent workflows (AWS/Azure)
Evals for agents, RAG systems, and GenAI workflows
AI FinOps: cost control, guardrails, and per-use-case attribution
Governance, logging, monitoring, and audit-ready documentation
Production sprints: from idea/pilot to an approved, running system
No strategy-only consulting. No body-leasing. No demos without a path to production.
Built for audit. Designed for production.
