What we solve
- AI POCs that never make it to production.
- Agents with no observability and no cost control.
- RAG with inconsistent quality over your own data.
- Manual processes an LLM can automate cleanly.
How we do it
- Define evaluations before picking a model.
- Versioned, testable prompt pipeline.
- Latency, cost and quality metrics per feature.
- Guardrails and deterministic fallback when needed.