Fragmented operational data
Asset signals, work history, financials and documents live in systems that were never designed to reason together.
Industrial Intelligence. Coordinated Action.
Meet Zimam, the Industrial AI Engineer.
Zimam connects operational, engineering, financial, workforce, safety and regulatory intelligence to diagnose industrial problems, quantify value at risk, and recommend the next best action.
Zimam gives every industrial organization an AI engineer capable of reasoning across assets, people, finance, safety, operations, and regulation.
Zimam reasoning layer
Illustrative
SCADA and sensors
Live signals, historians, IoT telemetry
Engineering documents
Manuals, P&IDs, drawings, procedures
Maintenance systems
CMMS work orders, failure history
ERP and finance
Cost centres, spares, production value
Workforce and HSE
Competency, availability, safety records
Regulations
Standards, permits, operating constraints
Reason
Root cause
Ranked, evidence-linked hypotheses
Value at risk
Production and cost exposure
Recommended action
Compared against alternatives
Execution plan
People, parts, permits, sequence
Human approval is required before any operational execution.
Built for energy, manufacturing, infrastructure, utilities, and critical operations.
The industrial problem
Industrial decisions are trapped between disconnected systems.
Traditional industrial platforms see only part of the operating environment. Asset data sits in one system, maintenance history in another, financial impact in the ERP, workforce constraints elsewhere, and regulatory obligations in documents nobody has time to read during an event.
Slow root-cause investigation
Engineers reconstruct context manually across trends, work orders and drawings before an answer emerges.
Unquantified production losses
Degradation is often visible long before anyone can express it as production, margin or contractual exposure.
Reactive maintenance decisions
Interventions are scheduled by calendar or by failure, rather than by consequence and opportunity cost.
Competing departmental incentives
Operations, maintenance, finance and HSE optimise different objectives with no shared decision basis.
Regulatory and execution complexity
Permits, standards, competency requirements and shutdown windows constrain what can actually be executed.
Zimam creates one reasoning layer across the industrial enterprise.
How Zimam works
Five stages, one governed decision path.
Zimam operates alongside your existing control and enterprise systems. Nothing is replaced, and nothing is executed without a human decision.
- 01
Connect
Integrate industrial and enterprise data without replacing existing systems.
- 02
Understand
Build context around assets, processes, constraints and operational objectives.
- 03
Diagnose
Identify anomalies, probable root causes, dependencies and consequences.
- 04
Decide
Compare actions using production, cost, safety, workforce and regulatory criteria.
- 05
Act and Learn
Generate an approved execution plan, record outcomes and improve future recommendations.
Human approval required. Between Decide and Act and Learn, an authorised person reviews the evidence and approves or rejects the plan. Zimam performs no operational control action on its own.
Decision intelligence
What a Zimam recommendation actually looks like.
An illustrative walkthrough of how fragmented signals become a single, explainable, economically framed recommendation.
Example scenario
A compressor shows increasing vibration while production demand is rising.
Zimam synthesises
- Sensor and historian signalsVibration rising 0.9 mm/s over 14 days at 1× and 2× running speed.
- Maintenance historyCoupling alignment corrected 11 months ago; bearing replaced 2 years ago.
- Spare-part availabilityBearing set in local store. Coupling insert on 3-week lead time.
- Production commitmentsDemand up 8% this month; unit is on the critical export path.
- Technician availabilityTwo certified rotating-equipment technicians available on day shift.
- Safety proceduresIsolation and hot-work permits required; confined-space entry not applicable.
- Financial exposureUnplanned trip modelled against contracted delivery and restart cost.
Structured recommendation
Select Run reasoning to see how Zimam structures a recommendation from the inputs on the left. All values shown are illustrative and not drawn from any customer deployment.
Platform capabilities
Ten capabilities, one reasoning layer.
Each capability is measured by the business outcome it changes, not by the technology behind it.
Understand
Industrial data intelligence
Unifies historian, sensor, CMMS, ERP and document data into a queryable industrial context model.
One trusted operating picture instead of six partial ones.
Diagnose
Root-cause reasoning
Correlates process signals, failure history and engineering documentation into ranked, evidence-linked causes.
Investigation time measured in minutes, not shifts.
Diagnose
Reliability and maintenance intelligence
Prioritises assets by degradation trajectory, criticality and the operational cost of failure.
Maintenance effort concentrated where consequence is highest.
Optimize
Production and process optimization
Identifies where process conditions, constraints or set points are quietly limiting output.
Recovered throughput without new capital equipment.
Optimize
Operational-financial impact analysis
Translates degradation, downtime and quality loss into production, cost and margin exposure.
Every technical issue expressed in the language of the P&L.
Coordinate
Workforce-aware execution
Accounts for competency, certification, availability and shift structure before proposing an action.
Recommendations that a real crew can actually execute.
Govern
HSE and compliance intelligence
Surfaces the procedures, permits, isolation requirements and standards that govern each intervention.
Safety and regulatory constraints applied before the decision, not after.
Coordinate
Cross-functional decision orchestration
Aligns competing departmental objectives around a single, explainable recommendation.
One decision basis shared by operations, maintenance and finance.
Understand
Engineering knowledge assistant
Makes manuals, drawings, procedures and past investigations directly usable in live decisions.
Institutional engineering knowledge available on every shift.
Optimize
Scenario simulation and next-best action
Compares intervene-now, defer, and mitigate options against production, cost, safety and regulatory criteria.
The consequence of each option understood before commitment.
Industries
Built for operations where downtime has a price.
Energy and Oil & Gas
- Production optimization
- Equipment reliability
- Shutdown planning
- Field-service intelligence
- Energy and emissions performance
Manufacturing
- Throughput improvement
- Quality-loss diagnosis
- Downtime reduction
- Maintenance prioritisation
- Workforce and production coordination
Utilities and Infrastructure
- Grid and network visibility
- Asset-health prioritisation
- Demand and capacity planning
- Incident-response coordination
- Investment prioritisation
Buildings and Facilities
- Energy optimization
- HVAC and equipment intelligence
- Predictive maintenance
- Occupancy-aware operations
- Portfolio-level performance
Defense and Critical Infrastructure
- Readiness intelligence
- Mission-critical asset availability
- Maintenance coordination
- Supply and resource visibility
- Secure human-governed decision support
Working at national scale? Explore Zimam Sovereign.
Zimam Sovereign
Industrial intelligence at national scale.
Zimam Sovereign enables ministries and national authorities to build a coordinated view across industrial operators, infrastructure, energy value chains, investment priorities, and strategic risks — while preserving organizational access controls and data sovereignty.
- National industrial visibility
- Cross-operator coordination
- Supply-demand intelligence
- Strategic asset and capacity planning
- Regulatory monitoring
- Investment-scenario analysis
- Sovereign deployment options
Pilot program
Start with one high-value industrial decision.
The Zimam Pilot Program validates measurable economic and operational value within a controlled scope, before broader deployment is considered.
Phase 1
Opportunity definition
Scope, baseline, data governance and the commercial outcome to be proven.
Phase 2
Intelligence deployment
Approved sources connected, engineering context configured, workflows validated with your experts.
Phase 3
Value validation
Measured outcomes, recommendation accuracy and a scale-up business case.
Trust and governance
Intelligence you can put in front of a regulator.
Zimam is designed for environments where authority, traceability and safety cannot be delegated to a model.
Human-in-the-loop approvals
Recommendations progress to execution only through explicit human authorisation.
Role-based access
Visibility and authority follow organisational roles, sites and data classifications.
Audit trails and evidence
Every recommendation retains the inputs, reasoning path and approval record behind it.
Explainable recommendations
Conclusions are presented with supporting evidence, assumptions and confidence.
Data isolation
Customer data remains isolated according to the agreed deployment architecture.
Configurable deployment architecture
Deployment topology is defined against the customer's operational and residency requirements.
Integration with existing systems
Zimam operates alongside existing control, historian and enterprise systems rather than replacing them.
No automatic operational control
Zimam performs no operational control action without explicit, recorded authorization.
Security, deployment, and governance configurations are defined according to each customer's operational environment and requirements.
About ENTROGX
A venture built for industrial reality.
Zimam is developed by ENTROGX, an AI-native industrial technology venture studio building intelligence systems for energy, sustainability, safety, and industrial operations across the Middle East and Africa.
About ZimamZimam can draw on specialised capabilities from the ENTROGX ecosystem:
Twinergy
Digital-twin intelligence for industrial assets and processes.
SafetyVoiceAI
Frontline safety intelligence from field voice and observation.
ESGeniusAI
Sustainability and regulatory intelligence for industrial operators.
What is your most expensive industrial decision?
Bring us the asset, process, or operational problem. We will help determine whether it is suitable for a focused Zimam pilot.