High
Too many alerts, too little action
Impact severity
Initializing Systems...
Initializing Systems...
FactoIQ deploys specialized, deterministic AI agents directly into your shop floor infrastructure to proactively predict failures, analyze root causes, and optimize production in real-time.
The problem is rarely a lack of data. It is a lack of usable industrial reasoning.
This section helps buyers understand how the product changes the decision loop.
FactoIQ is designed around specialized operating problems rather than one generic assistant.
Each agent focuses on a problem domain such as maintenance, quality, production, or procurement with the right operational context.
Recommendations feel relevant to plant teams instead of abstract.
A simple chart communicates quickly that this is a multi-domain intelligence product.
This acts as the operational infographic for the product.
Agents consume the connected data foundation and relevant execution context.
Each agent evaluates patterns tied to its operational problem, such as quality, maintenance, or throughput.
FactoIQ surfaces what matters and what should happen next instead of only reporting status.
The plant’s operational history strengthens later recommendations and broader optimization.
This explains why the intelligence layer depends on execution and data context beneath it.
This shows the intelligence product as part of the operational system, not a detached AI layer.
Delivers the machine and sensor signals needed for industrial agent reasoning.
Provides historical and contextual data that strengthens agent interpretation and learning.
Connects agent outputs to execution workflows, traceability, and operator action.
Benefits from and contributes to more advanced decision support and optimization pathways.
This turns the AI story into operational value rather than hype.
"A faster path from signals to recommended action across maintenance, throughput, and quality issues."Talk to us
The rollout needs to be grounded, staged, and operationally useful.
Book an AI readiness discussion to identify which operational domain should receive the first agent, what context is required, and how LeanQubit can make the intelligence useful on the plant floor.