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Brick Cognitive: Agentic AI to scale manufacturing
Agentic AI leverages orchestration and production knowledge graphs to overcome manufacturing complexity, understanding processes and supporting actionable decisions.
WHY BRICK COGNITIVE MANUFACTURING
Move from fragmented and distributed manufacturing data to coordinated action
Manufacturing teams still work across MES, ERP, IIoT, PLM, Quality Management, Maintenance, Scheduling and Planning systems that were not designed to reason together. Investigations take longer, priorities are harder to align and cross-domain optimization is difficult to scale.
The Brick Cognitive platform addresses this gap by creating a shared manufacturing execution knowledge layer based on semantic graphs that connects different manufacturing domains. It is designed to understand and improve process aspects, help teams quickly analyse problems, and enable AI agents to operate within a consistent context.
WHAT IT IS
What the cognitive manufacturing platform means in practice
Brick is a modular MES/MOM platform designed to orchestrate and manage end-to-end manufacturing operations, providing a robust foundation for execution, data consistency, and process control across production, quality, maintenance, and planning.
On top of this operational backbone, Brick Cognitive introduces an advanced agentic AI layer that connects industrial data, operational context, and a network of specialized AI agents, enabling the activation of intelligent, cross-domain use cases.
This combined architecture allows manufacturers to evolve from traditional execution systems and isolated analytics toward a cognitive manufacturing model—where agents continuously reason on operations, accelerate root cause analysis, enhance visibility, reduce downtime, and support more adaptive and contextual decision-making.
Brick Cognitive is built for complex manufacturing sectors such as automotive, industrial equipment, consumer products and pharma, it can work with existing systems to , reduce downtime, improve operational visibility, strengthen production continuity, support better-informed planning decisions and accelerate root cause analysis.
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HOW IT WORKS
From industrial data to coordinated action
Brick Cognitive works by first connecting core manufacturing systems, then building a manufacturing knowledge graph that turns fragmented data into shared operational context, and finally orchestrating specialised AI agents around real operational goals. This is what makes the solution actionable: disconnected signals become process understanding, and process understanding becomes coordinated action across production, quality, maintenance and planning.
01
Enable every key audience
Equip business users, leaders, and IT teams with learning journeys that reflect how they work, decide, and govern.
02
Build trust into adoption
Embed Responsible AI, data awareness, and practical governance guardrails from day one to support secure and confident usage.
03
Scale with consistency
Coordinate multi-country delivery through harmonised content, shared pedagogy, and unified reporting across cohorts and regions.
SOLUTIONS FOR TEAMS
Built for the teams that keep manufacturing moving
Manufacturing software is adopted team by team. The platform is designed for the functions that need faster visibility, better prioritization and clearer operational context first.
Quality & Traceability Investigation
Reconstruct genealogy, connect quality events to process context and accelerate root cause analysis.
Manufacturing KPI Advisor
Explain KPI deviations by linking them to execution context across lines, shifts and plants.
Production Flow Advisor
Identify bottlenecks, shortages and execution risks that affect throughput and stability.
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ADOPTION
Fit the platform to your starting point
The platform is designed for different starting points:
Standalone
Deploy Cognitive Manufacturing as a standalone layer on top of existing manufacturing environments, including brownfield landscapes.Embedded in Brick Reply
Extend Brick Reply with built-in agentic capabilities inside the platform experience.Progressive rollout
Start with one domain, prove value quickly and expand across processes, lines and sites using the same foundation.
ENTERPRISE READINESS
Designed for industrial adoption
Industrial AI adoption depends on control as much as capability. The Brick Cognitive platform is designed for human-in-the-loop use, with the observability, traceability and evaluation needed to govern outputs and improve them over time.
Human-in-the-loop
Operational users remain in control while agents provide context, recommendations and guided next steps.
Observable and governable
Monitor agent behavior, review outputs and improve quality over time with traceability and evaluation mechanisms.
Scalable by design
Reuse agents, skills and semantic models across use cases instead of building a new AI application for each problem.
Put agentic AI to work across manufacturing operations
See how Brick Cognitive helps teams connect fragmented industrial data, accelerate investigations and improve day-to-day decisions across production, quality, maintenance and planning.
FAQ
Clear answers to common evaluation questions help operational teams, IT stakeholders and plant leaders understand how the platform fits their environment and where to start.