Rapid Deployment : From POC to Production
offers domain-specific solutions powered by
Azure IoT, addressing precision needs in
Manufacturing, Food Processing & Safety, Chemicals, and Energy (Including Oil & Gas)
environments.
Our Low-code solution can rapidly build and deploy high-impact customized workflows. Incoming data is presented in role-based business dashboards that provide actionable intelligence. You can modify your workflows to affect your business outcomes.
Applications
Critical Infrastructure
(Air, Fluid, Power) Monitoring
Optical Inspection &
Machine Learning
Traceability &
Safety
Why
?
Low-Code Azure
IoT Solution
Fast POCs & Production
Role-based Configurability
Smart Analytics
& Machine Learning
Business & Operational Metrics
Insights & Process Optimization
Curated Industry
Partnerships
End-to-End Solution Deployed
Hybrid Cloud with Intelligent Edge
Low-Code Azure
IoT Solution
Fast POCs & Production
Role-based Configurability
Smart Analytics
& Machine Learning
Business & Operational Metrics
Insights & Process Optimization
Curated Industry
Partnerships
End-to-End Solution Deployed
Hybrid Cloud with Intelligent Edge
| Edge to Outcomes
Predictive
Maintenance
Forecast equipment failures and schedule its maintenance actual failures occur
Remote
Management
Get real-time data from your assets installed across locations to achieve their maximum uptime.
Inventory
Management
Optimize your MRO inventory to ensure that all critical spares are always in stock.
Smart
Logistics
Gain visibility into your supply chain processes and improve the warehouse inventory control.
“Enterprises are putting digital at the core of their business with interconnected systems, functions, and software. Our customers are leveraging the X·CELERATE IoT solution to drive business efficiency, create new insights, improve operations, reduce downtime, and increase productivity. These are enabled by the solution’s intuitive user interface, customized workflows, role-based dashboards and machine learning.”
Brochure
azureiotinfo@xoriant.com
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