Five engagement shapes. One bar: production.
AIEngineersLabs runs delivery for enterprise AI work — RAG, agentic systems, LLM integration, architecture advisory, and managed engineering pods. Every engagement ends with a system in production, an eval harness running, and a runbook your team owns.
Pick the shape that matches the work.
RAG Systems
Production retrieval with proper chunking, hybrid search, rerankers, and evaluation harnesses. If it doesn't cite sources and pass eval gates, it isn't shipping.
Agentic AI
Long-running agents with tool use, durable state, human-in-the-loop, and observable failure modes. Built to be debuggable — not demoable.
LLM Integration
Wiring frontier models into systems people already use. Auth, streaming, cost controls, eval gates, fallback routing across OpenAI, Anthropic, and open-weights.
AI Architecture Advisory
A second opinion on a stalled roadmap. Vendor bake-offs. Reference architectures. Written deliverables your engineering team can actually ship from.
Managed AI Pods
A senior engineering pod — architect, ML engineers, data engineer, MLOps — fully staffed in two weeks. We run delivery. You ship product.
Two interactive tools you can use without booking a call.
Talk to an engineer, not a salesperson.
30 minutes. No slides. Bring an architecture, a stalled roadmap, or a vendor proposal you want a second opinion on. We'll tell you what we'd do.