GreenEdge Factory Brain

One loop. Five agents.
A factory that runs itself.

Agentic manufacturing is a closed loop: detect, decide, act, verify, memorize. Each stage is run by a named agent — and every high-impact action still waits for a human to approve it. This is the full mechanism behind GreenEdge Factory Brain.

Detect. Decide. Act.
Verify. Memorize.

Every cycle through the loop makes the next one faster — because the outcome gets written back as a rule, not just logged as a data point.

Detect · ARGOS

Anomaly & drift detection

ARGOS reconstructs hidden machine states from measurable signals and flags genuine degradation — with a confidence score, not a binary alarm.

Decide · KAIROS

Scheduling & decision agent

KAIROS combines health scores, energy prices, technician availability, and the production plan into a single optimised decision.

Act · HERMES

Orchestration & action

HERMES routes the decision for approval or executes it directly for routine cases, then reports what it did in plain language.

Verify · VRE

Signed, verified savings

VRE checks what actually happened on the machine — not what was predicted — and produces a signed, auditable record of the outcome.

Memorize · ATHENA + TRACEMEM

Rule write-back & case memory

ATHENA promotes VRE-verified outcomes into reusable rules. TRACEMEM keeps the case history so root-cause recall takes seconds, not days.

Autonomy, with a human
in the loop.

Not every action should run unattended. GreenEdge Factory Brain classifies every decision into one of three tiers, visible end-to-end in Control Tower.

Auto-approved
Low-impact, high-confidence actions
  • Executed immediately by HERMES
  • Logged and verified by VRE after the fact
👤
Supervisor approval
Medium-impact actions
  • Routed to Agent Workspace for one-click sign-off
  • Full evidence attached before approval is requested
⚠️
Escalated
High-impact or low-confidence actions
  • Sent to the relevant manager with full context
  • Never executes without an explicit decision

This ratio — auto-approved vs. supervisor vs. escalated — is the closed-loop %: a single number that tells you how much of your factory is genuinely running itself, and how much still needs you.

Purpose-built agents,
same underlying loop.

Spare Part Agent

Confirms parts availability against the maintenance schedule before a window is ever proposed.

Quality RCA Agent

Matches a new defect against TRACEMEM's case history to surface the likely root cause in seconds.

Maintenance Agent

Turns ARGOS health scores into scheduled, approved maintenance windows — see also our predictive maintenance agent.

Energy Agent

Reschedules energy-intensive jobs around live tariffs and verifies the savings with VRE.

Production Scheduling Agent

Aligns maintenance, energy, and production plans into one schedule instead of three competing ones.

Handover Agent

Compiles shift handover notes automatically from every action the loop took during the shift.

Five agents. One workspace.

SurfaceWhat it's for
Control TowerLive risk and decision overview across every line and asset.
Agent WorkspaceThe mission canvas — see what each agent is working on and why.
Factory AssistantChat interface with memory and the ability to trigger actions directly.
Assets & OperationsLines, assets, and MES context in one place.
EvidenceVRE-signed verification and proof of savings, ready for audit.
ConfigAgent, knowledge base, and policy setup — how you tune the loop to your factory.

See the loop run on
your own data.

Not a demo. A conversation about where your factory is today, and where the loop starts making sense first.