Production AI

Most agentic AI doesn't ship. We build the kind that does: agent pipelines, MCP and A2A integration, context engineering, evals in CI, and the custom models a general LLM can't replace — running with real customers, real load, and real failure modes.

A production multi-step agent pipeline on AWS — S3 trigger → analysis agents → EventBridge orchestration → persistence and UI generation → completion and post-processing. Idempotent, observable, with checkpoints and interrupt points for human review. Powering a multi-tenant AI platform.

What we build

Stateful agent orchestration — Durable execution, checkpointing, and interrupt points for human review — on LangGraph, the OpenAI Agents SDK, the Claude Agent SDK, or Google ADK, chosen for the shape of the work rather than by default. Applied across sports, marketing, and finance products.

MCP and A2A integration — MCP servers that bridge Claude and other agents to enterprise tools and data systems; A2A for agent-to-agent delegation where more than one agent owns part of the work.

Multi-provider LLMs — Claude, OpenAI, Gemini, and self-hosted open-weight models.

Context engineering & agentic retrieval — Designing everything in the model's context window, not one-shot RAG: agentic retrieval that decides when to retrieve, judges sufficiency, fills gaps, and synthesizes — over hybrid vector and graph stores, with reranking and memory.

Evals & continuous evaluation — Offline eval harnesses plus online, continuous evals shipped in CI. Eval-drift tracking, regression gates, grounding and safety scoring.

Custom models — When a general model won't do, we build and train our own: computer vision, time-series and signal models, audio, and domain-specific classifiers, with the data pipelines, evaluation, and deployment to run them alongside LLMs in production. Fine-tuning where a foundation model is the right base.

Production deployment — Trace-level observability with independent alerting on eval drift, latency, cost, and error rate, plus audit logging, idempotency, and replay.

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