This isn't predictive maintenance as a dashboard. It's operational intelligence built for real conditions
INAIA runs entirely on-site, works with equipment you already operate, and surfaces confidence-based guidance your team can act on immediately, without a data scientist in the loop.
What makes INAIA different
Built for your team, not analysts
Maintenance engineers get plain-language actions and repair guidance. Not dashboards. Not anomaly graphs.
Gets smarter with every facility
Cross-facility intelligence improves with each deployment, without raw data leaving your premises
Fully sovereign by design
Runs inside your perimeter. No cloud dependency. No foreign government access. Your data stays yours.
Step 1, See it coming
Step 2, Know exactly why
Step 3, Act with precision
Three steps from sensor signal to resolved fault.
Predict. Diagnose. Prescribe.
Predict
Detects early degradation patterns in vibration, temperature, and operational data
Issues confidence-based alerts before equipment reaches critical thresholds
Surfaces failure risk weeks ahead, not hours before shutdown
Diagnose
Correlates machine behavior, sensor history, and operating conditions
Identifies the specific component or condition driving failure risk
Traces anomalies to root cause, not just the symptom
Prescribe
Recommends the exact maintenance action required to resolve the issue
Surfaces parts lists, technical documentation, and step-by-step repair guidance
Repair is assigned, tracked, and closed in one workflow
This isn't predictive maintenance as a dashboard. It's operational intelligence built for real conditions
INAIA runs entirely on-site, works with equipment you already operate, and surfaces confidence-based guidance your team can act on immediately, without a data scientist in the loop.
What makes INAIA different
Fully sovereign by design
Runs inside your perimeter. No cloud dependency. No foreign government access. Your data stays yours.
Built for your team, not analysts
Maintenance engineers get plain-language actions and repair guidance. Not dashboards. Not anomaly graphs.
Gets smarter with every facility
Cross-facility intelligence improves with each deployment, without raw data leaving your premises.
Plant Manager
The Plant Manager ensures the entire network benefits. The solution discovered in one facility is shared across every plant running INAIA with similar equipment. The next site doesn't wait for the same failure, it prevents it.
Last, Your Compounding Edge
Cross-facility Intelligence
AI Workflow
Once the repair is complete, INAIA learns from the incident. It analyzes the investigation, the repair, and the sensor behavior to generate a reusable workflow and updated operating procedure. What was once a manual fix becomes automated knowledge.
Automate & Memorize
AI Workflow Automation
Maintanence Engineer
With the cause confirmed, the Maintenance Engineer receives a clear task. INAIA provides the recommended steps, parts, and documentation. The repair is completed. The machine returns to normal operation.
Fix It
Speech to SOP
Whatsapp Integration
The Reliability Engineer investigates the signal. Using machine profiles, sensor history, and operational data, they trace the anomaly to its origin. What looked like a minor temperature deviation is early mechanical degradation.
Understand the Root Cause
Reliability Engineer
FactoryGPT
Machine Profile
A small anomaly appears. The Factory Manager sees it immediately, a machine drifting outside its normal operating range. Instead of discovering the problem after a shutdown, the team sees the risk hours or days earlier.
Predict through Signal
Anomaly detection
Digital twin
Factory Manager
The Reliability Engineer investigates the signal. Using machine profiles, sensor history, and operational data, they trace the anomaly to its origin. What looked like a minor temperature deviation is early mechanical degradation
Understand the Root Cause
Reliability Engineer
Machine Profile
Anomaly detection
With the cause confirmed, the Maintenance Engineer receives a clear task. INAIA provides the recommended steps, parts, and documentation. The repair is completed. The machine returns to normal operation.
Fix It
Maintanence Engineer
Whatsapp Integration
Speech to SOP
Once the repair is complete, INAIA learns from the incident. It analyzes the investigation, the repair, and the sensor behavior to generate a reusable workflow and updated operating procedure. What was once a manual fix becomes automated knowledge.
Fix It
AI Workflow
AI Workflow Automation
Once the repair is complete, INAIA learns from the incident. It analyzes the investigation, the repair, and the sensor behavior to generate a reusable workflow and updated operating procedure. What was once a manual fix becomes automated knowledge
Automate & Memorize
Plant Manager
Cross-facility Intelligence
Multi-site industrial operations
Bottleneck machines on production lines
Pumps and rotating equipment
Cooling and power infrastructure
Where it fits Best
PHM is built for assets where failure is costly or access is limited:
Detects early degradation patterns in vibration, temperature, and operational data
Issues confidence-based alerts before equipment reaches critical thresholds
Surfaces failure risk weeks ahead, not hours before shutdown
Predict
Correlate machine behavior, sensor history, and operating conditions
Identifies the specific component or condition driving failure risk
Traces anomalies to root cause, not just the symptom
Diagnose
Recommends the exact maintenance action required to resolve the issue
Surfaces parts lists, technical documentation, and step-by-step repair guidance
Repair is assigned, tracked, and closed in one workflow
Prescribe
Predict. Diagnose. Prescribe.
Three steps from sensor signal to resolved fault.
What changes when your team uses INAIA
Multi-site industrial operations
Bottleneck machines on production lines
Pumps and rotating equipment
Cooling and power infrastructure
Where INAIA Fits Best
PHM is built for assets where failure is costly or access is limited:
Alerts lack context
Decisions become reactive
Warnings arrive too late
INAIA detects equipment failure weeks before it happens, power by our technology, using the sensors and data you already have.
Alerts lack context
Decisions become reactive
Warnings arrive too late
INAIA detects equipment failure weeks before it happens, power by our technology, using the sensors and data you already have.
A small anomaly appears. The Factory Manager sees it immediately, a machine drifting outside its normal operating range. Instead of discovering the problem after a shutdown, the team sees the risk hours or days earlier
Predict through Signal
Factory Manager
Digital Twin
Anomaly detection
What changes when your team uses INAIA.
The INAIA Control Center
One platform for every role in the facility.
With INAIA
Situation
Equipment failure
Detected weeks in advance
Every fix makes every site smarter
On-premises, no data leaves the facility
Confidence-based, action-ready signals
Traced automatically to component level
Exact steps, parts list, documentation
Captured as reusable automated workflow
Alert quality
Root cause
Repair guidance
Knowledge retention
Multi-site learning
Data sovereignty
Without INAIA
Discovered at or after shutdown
Threshold alarms with no context
Investigated manually by experts
Engineer judgement, tribal knowledge
Leaves when the engineer does
Each facility starts from zero
Cloud-dependent, external exposure
(Industrial Nexus for Asset Intelligence and Autonomy)
The signal was always there
INAIA (عناية) · Maintenance
(Industrial Nexus for Asset Intelligence and Autonomy)
The signal was always there
INAIA (عناية) · Maintantence
The INAIA Control Center
One platform for every role in the facility.
Without INAIA
Situation
Equipment failure
Discovered at or after shutdown
With INAIA
Detected weeks in advance
Every fix makes every site smarter
On-premises, no data leaves the facility
Confidence-based, action-ready signals
Traced automatically to component level
Exact steps, parts list, documentation
Captured as reusable automated workflow
Threshold alarms with no context
Investigated manually by experts
Engineer judgement, tribal knowledge
Leaves when the engineer does
Each facility starts from zero
Cloud-dependent, external exposure
Alert quality
Root cause
Repair guidance
Knowledge retention
Multi-site learning
Data sovereignty
Book a site assessment
Book a site assessment
Transform Your Facility
Deploy the world’s first sovereign AI operating system designed specifically for critical physical infrastructure
100% Data Sovereignty
Your data never leaves your premise. We deploy sovereign AI models that run entirely within your perimeter
Universal Compatibility
Works with your current machinery and infrastructure. Our system integrates with legacy setups without requiring a rip-and-replace
Zero-Latency Edge
Critical decisions happen on the device-level, ensuring operations continue even if the internet goes down
Book a Demo
Tripolar
The AI Operating System for Physical Industries
Explore Solutions
Zero-Latency Edge
Critical decisions happen on the device-level, ensuring operations continue even if the internet goes down
Universal Compatibility
Works with your current machinery and infrastructure. Our system integrates with legacy setups without requiring a rip-and-replace
100% Data Sovereignty
Your data never leaves your premise. We deploy sovereign AI models that run entirely within your perimeter
Explore solutions
Book a Demo
Deploy the world’s first sovereign AI operating system designed specifically for critical physical infrastructure
Transform Your Facility
The AI Operating System for Physical Industries
Tripolar