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Compatibility · Scalability · Business Value

Built for any vendor,
any industry,
any scale.

POLx°IMAT is a vendor-agnostic optimisation and orchestration layer designed to work across heterogeneous enterprise and industrial environments — from incoming correspondence and business processes to physical production, energy, quality and equipment state.

Vendor-Neutral Open APIs Modular Sector Packs Cloud · Edge · On-Prem Physical + Digital World
POLx°IMATCOGNITIVE
ENTERPRISE CORE

Enterprise Advantages

Designed to preserve existing investments while adding cross-system intelligence, operational resilience and scalable optimisation across both digital and physical processes.

↔

Universal Compatibility

Connect heterogeneous enterprise and industrial systems without forcing one technology stack.

  • OPC UA · MQTT · REST
  • Databases · APIs · events
  • ERP · CRM · DMS · MES · SCADA
  • Legacy and custom integration
∞

Scalable Shared Core

Scale the same optimisation logic from one process to multi-department and multi-site operation.

  • One process → enterprise
  • SME and industrial packs
  • Multi-client architecture
  • Modular expansion
HIS

Cognitive Optimisation

Convert evidence and live process state into governed candidate actions and dynamic priorities.

  • HIS Intelligence
  • HMCDIOE alternatives
  • Unknown / conflict handling
  • Verify / Learn loop
▣

Secure Enterprise Runtime

Operate with explicit provenance, authority, human approval and client-specific data boundaries.

  • Role-based authority
  • Audit and provenance
  • Read-only / shadow mode
  • Tenant-isolated state
Siemens
ABB
Schneider
Beckhoff
Rockwell
Cloud & AI
Technology names indicate target compatibility ecosystems, not formal partnerships, certifications or endorsements unless separately agreed.
Why POLx°IMAT OOEP

The next intelligence layer for
industrial technology ecosystems

POLx°IMAT does not replace industrial technology ecosystems. It adds a vendor-agnostic intelligence, optimisation and orchestration layer that can connect their capabilities into a shared operational context — turning evidence and physical-world state into the BEST NEXT ACT.

COMPLEMENTARY TECHNOLOGY LAYER
Their technology + POLx°IMAT = enhanced operational intelligence.
PLC · SCADA · MES · Edge · Robotics · Energy · Drives · Enterprise Data → HIS Intelligence → HMCDIOE → Governance → BEST NEXT ACT → Verify / Learn
Enhancement dimension
POLx°IMAT OOEP
WITH SIEMENS
ECOSYSTEM
WITH ABB
ECOSYSTEM
WITH SCHNEIDER
ECOSYSTEM
WITH ROCKWELL / BECKHOFF
ECOSYSTEMS
Unified enterprise stateEvidence, cases, processes and operational state remain connected across systems
✓Shared evidence/state layer with provenance and client-specific process context
~Strong inside the vendor's own suite; cross-vendor state usually requires integration
~Strong automation and electrification portfolio; cross-system enterprise state depends on selected ABB products and integrations
~Broad energy-management and automation portfolio; enterprise-wide semantic state depends on selected Schneider architecture
~Strong controls and automation ecosystems; cross-vendor enterprise state depends on the implemented Rockwell / Beckhoff architecture
Incoming information of any typeEmail, documents, files, forms, APIs and operational events
✓One intake model for structured and unstructured evidence
~Handled through Siemens products, applications and integration interfaces according to the deployed stack
~Handled through ABB software, automation and connected applications according to the deployed stack
~Handled through Schneider software and connected enterprise/automation applications according to deployment
~Handled through Rockwell / Beckhoff software, controllers and integration layers according to deployment
Case & identity resolutionLink information to client, case, order, project or process
✓Identity mapping keeps evidence attached to the correct operational context
~Available where Siemens applications, identifiers and master data are integrated
~Available where ABB applications and enterprise identifiers are integrated
~Available where Schneider applications and enterprise identifiers are integrated
~Depends on Rockwell / Beckhoff solution architecture and enterprise mapping
Cross-department orchestrationMove information, protocols and tasks to the right departments
✓Case-aware routing with dependencies, parallel work and NEXT ACT
~Workflow/orchestration capabilities vary across Siemens products and the configured architecture
~Workflow/orchestration depends on the selected ABB software and enterprise integration layer
~Workflow/orchestration depends on selected Schneider software and enterprise integration
~Can be engineered through Rockwell / Beckhoff ecosystems and connected enterprise applications
Unknowns & evidence gapsDo not silently guess when required information is missing
✓KNOWN / UNKNOWN / UNVERIFIED / CONFLICT become explicit process states
~Data-quality functions vary by module and implementation
~Models can hallucinate unless grounded and governed
~Missing-field checks are strong when rules are predefined
~Usually implemented through custom validation rules
Multi-criteria optimisationCompare feasible actions across time, cost, risk, quality and resources
✓HMCDIOE compares candidate actions after hard constraints are applied
~Extensive industrial optimisation capabilities; scope depends on Siemens products and application domain
~Extensive industrial optimisation capabilities; scope depends on ABB products and application domain
~Extensive industrial optimisation capabilities; scope depends on Schneider products and application domain
~Industrial optimisation can be implemented with Rockwell / Beckhoff technologies and engineering models
Dynamic priorityPriority changes with state, dependencies, capacity, risk and value
✓Runtime priority can adapt as the case or process changes
~Priority logic depends on the Siemens application, planning layer and implementation
~Priority logic depends on ABB applications and implemented operational context
~Priority logic depends on Schneider applications and configured operational rules
~Priority logic depends on the Rockwell / Beckhoff implementation and connected systems
Governance & human authoritySeparate recommendation, preparation, approval and permitted execution
✓OBSERVE → SUGGEST → PREPARE → HUMAN APPROVAL → permitted AUTO
~Governance and security capabilities are distributed across the selected Siemens products and architecture
~Governance and authority depend on selected ABB products and implementation
~Governance and authority depend on selected Schneider products and implementation
~Governance and authority depend on Rockwell / Beckhoff project architecture and customer controls
Source provenance & auditTrace source fact → derived state → decision → action → outcome
✓Evidence provenance and decision trace are part of the runtime model
~Audit capabilities exist across Siemens products; end-to-end cross-system trace depends on integration
~Audit capabilities exist across ABB products; end-to-end cross-system trace depends on integration
~Audit capabilities exist across Schneider products; end-to-end cross-system trace depends on integration
~Audit can span Rockwell / Beckhoff and enterprise systems; unified trace depends on architecture
Read-only / shadow optimisationProve recommendations before granting execution authority
✓Historical and shadow modes support baseline → prediction → verification
~Possible with Siemens technologies; method depends on product and use case
~Possible with ABB technologies; method depends on product and use case
~Possible with Schneider technologies; method depends on product and use case
~Possible with Rockwell / Beckhoff technologies; method depends on project architecture
Verify / Learn loopMeasure whether the selected action actually improved the outcome
✓Baseline → predicted → actual → error / cliff → calibration
~Analytics and feedback capabilities vary across Siemens products and use cases
~Analytics and feedback capabilities vary across ABB products and use cases
~Analytics and feedback capabilities vary across Schneider products and use cases
~Analytics and feedback depend on Rockwell / Beckhoff and connected analytics architecture
Source-system preservationAdd intelligence without forcing replacement of ERP/CRM/DMS/MES/SCADA
✓Designed as an optimisation/orchestration layer above authoritative systems
~Broad third-party integration is possible; deepest integration naturally depends on the chosen Siemens stack
~Broad third-party integration is possible; deepest integration naturally depends on the chosen ABB stack
~Broad third-party integration is possible; deepest integration naturally depends on the chosen Schneider stack
~Open integration is possible; implementation depends on Rockwell / Beckhoff architecture and engineering
Sector packs on one coreReuse runtime logic while adapting ontology, constraints and KPIs
✓One core → Industry Pack / Enterprise Pack → Client Pack → Live State
~Industry solutions and reusable components span multiple Siemens product families
~Industry solutions and reusable components span multiple ABB product families
~Industry solutions and reusable components span multiple Schneider product families
~Industry solutions and reusable components span Rockwell / Beckhoff product families
Deployment & data boundariesSupport client-specific security, permissions and deployment requirements
✓Tenant-isolated client state; deployment architecture can be adapted per scope
~Multiple Siemens deployment patterns are available depending on selected products
~Multiple ABB deployment patterns are available depending on selected products
~Multiple Schneider deployment patterns are available depending on selected products
~Deployment depends on selected Rockwell / Beckhoff products and architecture
Physical-world optimisationConnect enterprise decisions to machines, production, energy, quality, maintenance and other real operational processes
✓Designed to combine physical process state with economic, resource, quality and risk criteria in one optimisation context
~Enterprise suites can hold production and asset data, but direct physical-process optimisation is usually handled by OT / MES / automation products
~AI can analyse sensor and engineering context, but requires trusted OT data, constraints and an execution layer
~Workflow / RPA primarily orchestrates digital tasks rather than closed physical production state
~Industrial integrators are strong in the physical world, typically combining PLC, SCADA, MES, robotics and engineering systems per project
Vendor-agnostic industrial layerOptimisation should not depend on one PLC, robot, SCADA, MES or cloud vendor
✓POLx°IMAT sits above heterogeneous OT/IT sources and preserves each source system as authoritative; adapters can use OPC UA, MQTT, REST APIs, databases and event interfaces
~Suites integrate third-party systems, but their deepest capabilities naturally center on their own product ecosystem
~Model providers are largely hardware-agnostic, but do not themselves provide industrial interoperability or plant authority
~Many platforms offer broad connectors, while plant-floor semantics and safety constraints remain implementation-specific
~Integrators are often vendor-neutral and can combine multiple automation ecosystems; the optimisation runtime depends on the chosen architecture
Multi-vendor physical ecosystemDesigned for plants that already contain equipment and software from different manufacturers
✓Integration target: Siemens, ABB, Schneider Electric, Rockwell Automation and other compatible OT/IT ecosystems — without making them POLx°IMAT partners unless a formal partnership exists
~Siemens Industrial Edge exposes APIs and OPC UA connectivity; ABB supports OPC UA / MQTT connectivity; other industrial suites expose their own integration mechanisms
~AI services can consume normalized data after plant connectivity and semantics are established
~Can orchestrate events from multiple vendors once connectors and identities are configured
~Common industrial approach: integrate heterogeneous vendors and standards according to the plant architecture
Best-fit starting pointBegin where measurable operational loss can be verified
✓One process → one baseline → several candidates → one verified outcome
~Strong fit for plants standardized on Siemens automation, software and industrial infrastructure
~Strong fit for plants standardized on ABB automation, electrification and industrial software
~Strong fit for plants standardized on Schneider automation, energy management and industrial software
~Strong fit for plants standardized on Rockwell or Beckhoff controls and automation architectures
Technology-enhancement view: the named industrial ecosystems provide substantial automation, control, edge, software and engineering capabilities. POLx°IMAT is positioned as an additional vendor-agnostic optimisation layer that can use available interfaces and governed data to connect those capabilities, calculate cross-system alternatives and produce a BEST NEXT ACT. Technology names indicate compatibility/integration targets; formal partnership, certification or endorsement should be stated only where separately agreed.
Physical World · Vendor-Agnostic Integration Target

One optimisation layer above heterogeneous industrial ecosystems.

POLx°IMAT is intended to consume governed data from existing OT and IT systems rather than require a single-vendor plant. Typical integration targets can include industrial platforms, controllers, robots, SCADA/MES, edge systems and enterprise applications.

SIEMENSABBSCHNEIDER ELECTRICROCKWELL AUTOMATIONOPC UAMQTTREST APIsMES / SCADA / ERPOTHER COMPATIBLE SYSTEMS

Names identify potential compatible technology ecosystems, not contractual partnerships, certifications or endorsements unless separately stated.

One runtime across the decision chain.

Event → Evidence → State → HIS Intelligence → Candidate Actions → HMCDIOE → Governance → NEXT ACT → Outcome → Verify / Learn.

PHYSICAL + DIGITAL STATE CROSS-SYSTEM CONTEXT BEST NEXT ACT HUMAN / SYSTEM ROUTING VERIFIED OUTCOME

From technology capability to BEST NEXT ACT.

POLx°IMAT adds the decision context between connected technologies and the operational outcome. It combines live physical and digital state, evidence, constraints, dependencies, capacity, risk and business value to determine what should happen next — and which system, department or human authority should act.