Practice 01 — AI Orchestration
Systems that act.
A single model in a demo is easy. Production means routing, tool calls, retrieval, and human oversight working together. We build that layer inside your stack.
The orchestration loop.
Route
The right model per task — fast and cheap where possible, frontier where it counts. Fallbacks and budgets built in.
Act
Typed tool calls into your APIs, functions, and services — with permissions, retries, and audit trails.
Ground
Retrieval from your data with citations, freshness rules, and access control that mirrors your own.
Verify
Evals on every change, guardrails on every output, and a human in the loop where the stakes demand one.
From kickoff to a production system handling real traffic.
Runs on your infrastructure, your data, your controls.
Every behavior measured from day one — regressions caught before users see them.
What we build.
Agent systems
Multi-step agents that plan, call tools, and recover from failure — scoped to real jobs with measurable outcomes, not open-ended chat.
Retrieval pipelines
Grounding that survives contact with production: ingestion, chunking, hybrid search, and citations your team can actually audit.
Eval harnesses
Test suites for model behavior — golden sets, LLM judges, and regression gates wired into your CI, so shipping changes stays safe.
Ready to orchestrate?
Tell us what your system needs to do. We’ll come back with the architecture and the plan to ship it.
Start a project