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Production AI across industrial operations. Controlled, auditable, and operated as one system.
Run plant, supply chain, and quality intelligence on one AI operating layer
Operate Manufacturing AI and Agentic AI across shop floor, supply chain, maintenance, and production planning within a governed execution runtime.
Industrial AI exists on the floor.
It is not yet operationalized.
Most manufacturers run AI across predictive maintenance, quality, and planning. Few can operate it continuously across plants, lines, and supply networks.
AI Now:
Drives production and planning decisions in real time
Operates inside plant and supply workflows
Supports engineers, operators, and operations leaders
Must be governed during execution, not after deployment
Where manufacturing AI breaks without an operating layer
Plant, quality, and supply chain intelligence remain siloed
Governance exists outside operational execution
OT and IT environments remain fragmented
Each new use case introduces new tooling and integration complexity
Manufacturers are not lacking AI capability.
They are lacking a system to operate it across production environments.
Unlimited Manufacturing AI and Agentic AI. One governed runtime.
Industrial Workflows Expanding Without New Stacks or Vendor Sprawl
01
Energy optimization across facilities
02
Digital twin intelligence support
03
Safety and compliance monitoring
04
Workforce productivity insights
05
Logistics optimization
06
Asset utilization intelligence
07
Production cost modeling
08
Equipment lifecycle intelligence
09
OT system monitoring
10
Model governance workflows
Kernel - governed execution across plant, supply chain, and operations
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Policies operate inside plant and operational workflows.
- Governance - as - code at runtime
- Policy enforcement across models, agents, and workflows
- Auditability, traceability, and reversibility embedded into execution
Policies operate inside plant and operational workflows.
- Governance - as - code at runtime
- Policy enforcement across models, agents, and workflows
- Auditability, traceability, and reversibility embedded into execution
Built for industrial and regulated manufacturing environments












Infosys Finacle’s Open Source Services Partner FY25

InsurTech of the Year 2025
Supports auditability, traceability, and compliance across production, safety, and operational workflows.
Scale Manufacturing AI without governance gaps, lock-in, or operational fragmentation
01
Operate plant, supply chain, and quality intelligence as one governed system
02
Reduce operational friction across production environments
03
Scale use cases without multiplying infrastructure or vendors
04
Strengthen accountability and operational visibility
05
Move from isolated AI deployments to enterprise-wide industrial AI operations
See Pricing Details
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