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.
Predictive Maintenance Operating Inside Production Environments
Monitor equipment health and predict failures within governed execution workflows.
- Equipment performance intelligence
- Failure prediction and maintenance prioritization
- Asset lifecycle monitoring
Quality Intelligence Across Production Lines
Run defect detection and process optimization in real time.
- Visual quality inspection intelligence
- Process variation detection
- Yield improvement support
Supply Chain Intelligence Operating Across Networks
Optimize inventory, logistics, and demand alignment within controlled environments.
- Demand signal intelligence
- Inventory optimization
- Supplier risk monitoring
Production Planning and Operations Optimization
Run AI inside scheduling, throughput, and resource allocation workflows.
- Production scheduling intelligence
- Throughput optimization
- Capacity planning support
Agentic Copilots for Plant Engineers and Operations Teams
Assist teams with governed decision support across production and maintenance.
- Plant operations copilots
- Maintenance engineering assist
- Production workflow support
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
01
Energy optimization across facilities
02
Digital twin intelligence support
03
Safety and compliance monitoring
04
Workforce productivity insights
Kernel-governed execution across plant, supply chain, and operations
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
Tailor-made for regulated insurance environments
Designed for compliance-driven, risk-sensitive operations.
Infosys Finacle’s Open Source Services Partner FY25
InsurTech of the Year 2025
Supports governance, audit, and regulatory workflows across underwriting, claims, and servicing.
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
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Demo
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