Useful AI apps in production — RAG, copilots, and document workflows
We design for measurable outcomes, safety, evaluation, and analytics — not demos.
Outcomes
- KPIs tied to business goals (deflection, CSAT, cycle time)
- Guardrails to reduce hallucinations and policy violations
- Telemetry to track quality, usage, and cost per request
- Secure handling of sensitive data and PII
What we deliver
- RAG pipelines (chunking strategy, embeddings, vector store)
- Prompt libraries with versioning and offline/online evals
- Safety & compliance policies, redaction, and audit logs
- App scaffolds with auth, analytics, and feature flags
FAQs
How do you reduce hallucinations?
High quality retrieval, prompt constraints, verification steps, and continuous evaluation on curated test sets.
Which model do you choose?
We evaluate multiple providers (quality, latency, cost, compliance) and can mix models with fallbacks.