From architecture review to shipped systems — agentic AI grounded in real systems-engineering discipline.
Multi-agent orchestration (LangGraph, NeMo Agent Toolkit), RAG pipelines, tool/MCP integration, eval harnesses, and tracing — architected for reliability and shipped to production.
A fixed-scope engagement: we profile your inference workload, find where GPU memory and money go, and deliver a quantified plan — quantization, batching, KV-cache and instance right-sizing.
Kafka / Change-Data-Capture pipelines, event-driven architecture, idempotency, retry/DLQ, and back-pressure — the reliability foundation that keeps agentic workloads dependable at scale.
Deep experience across Salesforce (Apex, LWC), MuleSoft, and Heroku Connect — connecting agentic AI to the systems your business already runs on, without brittle glue code.
Tell us what you're building or where the GPU bill hurts — we'll tell you the highest-leverage next step.
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