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OpenCentric Studio's AI practice covers the full stack — from strategy and RAG pipeline builds to LLM evaluation, agent orchestration, and AI governance. In-house advisors who've shipped AI in regulated environments.
Executive-level AI readiness assessment, use case prioritisation, build-vs-buy analysis, and a phased roadmap. Delivered as a structured briefing + document.
End-to-end RAG build: document ingestion (PDF, Office, email), chunking strategy, embedding model selection, vector store setup, and retrieval tuning.
Custom eval suite for your use case — RAGAS metrics, hallucination detection, latency benchmarks, and a repeatable CI-integrated evaluation harness.
Multi-agent architecture design using LangGraph, AutoGen, or custom orchestration. Tool definitions, memory strategy, human-in-the-loop design, and failure handling.
AI usage policy, model card templates, data residency review, PII detection controls, and EU AI Act / NIST AI RMF alignment assessment.
Review of an existing AI feature or pipeline: prompt injection risk, model output validation, rate limiting, cost controls, and observability wiring.
LLM observability with Langfuse or Phoenix — traces, token cost dashboards, latency percentiles, and alert thresholds. Delivered as a live dashboard.
Ongoing AI advisor. Monthly strategy sync, feature design reviews, model upgrade analysis, and vendor evaluation as the landscape evolves.
Bring your expertise. Find your team. Ship compliant software. Fund your venture. OpenCentric gives independent builders everything the enterprise had — without the enterprise.