Others: Linear Workflow
IO: Industrial Reasoning
Industrial Operator
Autonomous AI for industrial operations.
Supervised or Autonomous
On top of existing systems
Built-in governance
IO in the real world
References
Naturgy + IO
Supporting multi-plant combined-cycle operations with IO
Centralized operations across combined-cycle power plants, with IO reasoning above existing plant systems.
Deployed in real industrial environments — not demos. Built on 10+ years of mission-critical automation expertise.
Differentiation
We model thinking,
not tasks.
Others chain AI agents in workflows. IO captures how your experts actually reason. That's why it scales where others don't.
Governance & Accountability
Your pace. Your policies.
Governance that scales with confidence. Some teams need human-in-the-loop today. Others are ready for delegated execution. IO supports both, with explicit policies, full audit trails, and the flexibility to evolve at your pace.
Human in the loop
AI thinks. You decide.
Full visibility at all times. IO surfaces recommendations — every action requires a human to approve before anything happens.
Delegated Execution
AI acts within your rules.
Delegation is explicit, scoped, and reversible. You define what IO may or may not do — and responsibility always remains human-owned.
- AI cannot decide or act
- Every action remains human-validated
- Full audit trail for regulators
- Delegation is explicit, scoped, reversible
- Your rules define what AI may or may not do
- Responsibility remains human-owned
Architecture
The journey with us is simple.
We model your landscape.
Messy is fine. Our onboarding tools create the context (ontology) AI needs. We work directly with you or with your trusted integrators.
Seamless integration across your ecosystem
SCADA / DCS
Historians
MES
ERP
EAM / CMMS
APM
Quality / LIMS
Planning / APS
Documents
APIs
Examples include
SiemensWinCC OAIgnitionAVEVAABB 800xADeltaVHoneywell ExperionYokogawa CENTUM VPFactoryTalkGE ProficyPI SystemSAPIBM MaximoServiceNow...and more