IoT Solutions and Consulting Services

Design, Development, Implementation, and Support for the Internet of Things Ecosystem

Build Intelligent Connected Device solutions by seamlessly integrating existing enterprise applications and streamlining collecting, storing, transforming, and analyzing Senors Data to build industrial applications, improving business processes and operational efficiency.

XenonStack IoT Consulting

Consulting and Implementation

End-to-End Solutions for developing connected solutions for applications and processes which improve operational efficiency.

XenonStack IoT Analytics

Analytics and
Data Science 

With Analytics enabled capabilities enterprises can enable real-time insights, data pattern and performance analysis, smarter operations and ad hoc analysis. 

XenonStack IoT Application Management

Device Manager Solutions 

Remote management for provisioning, monitoring, and maintenance of growing connected objects

IoT Architecture to Analyze Real-World Data via Sensors

Enabling enterprises to adopt the Internet of Things as a Service for a product, including consuming, transporting, storing, analyzing, and displaying data. Leveraging Artificial Intelligence and Edge Computing further improves Operational efficiency with reduced latency by integrating and transforming business processes.

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IoT solutions to scale operations and drive business value

XenonStack IoT Engineering and Development

Platform Engineering and Development

Managed Platform, efficient end-to-end development and deployment of Connected Solutions for processes and applications with option of managed security operations

XenonStack IoT Engineering and Development

Enterprises can accelerate the adoption of Internet of Things with Digital Twin based solutions, which additionally aids to enhance Quality, and Efficiency.

Streamline Application Management with the Internet of Things driven supply chain management and Fleet management Solutions.

Development of Edge capabilities helps Businesses in gaining cloud intelligence in real-time and improving edge-to-cloud security.

Stream Analytics drives business value through monitoring events at Real-Time, and incorporating smart monitoring best practices.

Scalable IoT Services - From Device to Cloud

Enabling Real-Time intelligence for Edge Devices and embed easy connectivity with cloud-enabled solutions.

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Microsoft Azure Edge AI Solutions

Build and Deploy Device Manager, Connectivity and analytics Solutions applications leveraging Artificial Intelligence with Microsoft Azure Hub.

How does the IoT empower Enterprises to drive Business Growth?

Connect and manage billions of devices. Collect, store, and analyze device data for industrial, consumer and commercial workloads.

IoT to Enhance Business Efficiency and Agility

Automate and Modernize Connected Solutions development with seamless connectivity and integration

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Enterprise Technology

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Banking and Finance Sector

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Healthcare

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Education

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Transportation

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Retail

Key Enablers

Enablers for Accelerating Digital Transformation

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Big Data Engineering

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Enterprise AI

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Data Science

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DevOps

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Data Visualization

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Digital Transformation Enablers

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Internet of Things Usecases

Smart Agriculture Solutions and Applications

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Smart Agriculture Solutions and Applications

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Building IoT based Smart Energy Meters

Building IoT based Smart Energy Meters

Architecture of Data Processing for Smart Cities

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Architecture of Data Processing for Smart Cities

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Digital Twin

Predictive Maintenance

Edge Computing

Intelligent Enterprise

Digital Twin

Digital Twin is defined as the representation of a physical asset, objects which enables enterprises to facilitate efficient development of operations.

Predictive Maintenance

Predictive maintenance supports businesses in systematically Optimising business decision-making using real-time data and machine learning capabilities.

With Edge Computing Architecture Enterprises can decrease burdens of latency and optimize workload efficiency at Scale.

Intelligent Enterprise

The Intelligent Enterprise Architecture consists of Intelligent Automation, Embedded Analytics and Process Effective capacities.

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  • Adapt to new evolving tech stack solutions to ensure informed business decisions.

  • Achieve Unified Customer Experience with efficient and intelligent insight-driven solutions.

  • Leverage the True potential of AI-driven implementation to streamline the development of applications.

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