Agents that do real work, under supervision.
Multi-agent architectures that produce verified work products under human command. Supervision is the feature, not the limitation.
The Discipline
AGENTSPlanner. Executor. Critic. Referee.
Real agentic systems separate concerns: planners decompose the mission, executors use tools deterministically, critics check the work, and referees resolve disagreement. Persistent memory and evaluation harnesses keep the system honest over time.
- Deterministic tool use, never improvised side effects
- Evaluation harnesses on every agent role
- Persistent, auditable memory
Humans command. Agents produce.
Every consequential action passes through approval layers, and every decision is logged with its reasoning. The result is throughput without surrendering control.
Agents shipping work in three industries.
FreightCortex runs a tool-using freight analyst with an agent-to-agent interface. SPCio runs supervised quality workflows fully air-gapped. AlchemyLake runs verified creative pipelines that seal provenance into every asset.
Where It Runs
Production platformsSignals
Agentic AI EngineeringArchitecture decisions to settle before approving AI at scale
Agents that check their own work
Orchestrator and workers: the model loop that beats one big model
MCP, RAG, and skills solve three different problems
Serving those who
need to stay ahead.
We don't pitch slide decks. We show you what we've already built in your domain, then engineer what your mission requires.