Edge Computing

Edge Computing Solution

ManEDGE the future with unique edge computing solutions

Edge Computing Solution

Edge is a buzzword. Like ‘IoT’ and ‘Cloud’ before it, Edge means everything and nothing. The advent of edge computing as a buzzword is the realization that there isn’t much growth left in the cloud space. Almost everything that can be centralized has been centralized. Most of the new opportunities for the ‘cloud’ lie at the ‘edge’. Edge computing technology is implemented at or near the data source, bypassing sole reliance on the cloud housed in one of several data centers to handle all processing tasks.

For many mobile edge computing solution provider companies, the cost savings alone acts as a key driver towards deploying an edge-computing architecture. Companies that embraced the cloud for many of their applications have already discovered that the costs in bandwidth are much higher than they expected. At its basic level, edge to cloud solutions bring computation and data storage closer to the devices where it is being gathered, rather than relying on a central location that can be thousands of miles away. By doing so, real-time data does not suffer latency issues that would impact the application’s performance. Furthermore, companies can achieve substantial cost savings through local processing, leveraging edge computing technology to minimize the volume of data required for processing in centralized or cloud-based environments. Even though the initial goal of edge computing platform was to reduce bandwidth costs over long distances for IoT devices, it is expected that this technology will be driven by the advent and growth of real-time applications that require local processing and storage capabilities.

ManEdge Your Future with PraEdge – Our Edge Computing Platform

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Key Use Cases of Edge Computing

Condition Based Monitoring

Predictive Maintenance

Asset Performance Management

Industrial Process Optimization

Edge Computing Accelerator: PraEdge

In the case of top-level edge computing services, Pratiti is one of the most preferable names. Pratiti is one of the leading edge cloud providers that has developed its own edge computing platform – PraEdge, for building IoT Apps on Edge to enable industrial device connectivity with a simple drag-and-drop interface, application deployment, and secure access to remotely located gateways. Our comprehensive edge computing services include real-time data processing, low latency solutions, and enhanced security measures to meet the demands of modern industries.

PraEdge – Modules and Components

Device Management

Device Management Module

Adding, Removing and updating devices
Measurement parameters management
Device configuration & control

Device Management Component

Features

Device Onboarding
OTA via secured TLS connections with devices*
Remote Control *
Admin console via web Ul Features

Data Acquisition

Data Acquisition Module

Protocol support for MDBUS, OPC UA
Data storage with time series DB
Data aggregation

Data Acquisition Component

Multiple data source

MODBUS over TCP
OPC UA
MQTT JAVA based Microservice
Configuration via JSON based input
Data Storage: Timescale DB as time series DB

Analytics

Analytics Module

KPI processing
Events processing Integrations

Analytics Component

Features

Aggregation
Alerting Based on native Java processing
Integration with Kafka (based on analytics requirement)

Business Modeller

Business Modeller Module

Business object modeling
Site configurator
User access management

Application Framework Component

User-defined dashboards
User-configurable widgets
Drag & drop parameters visualization

Dashboard Builder

Dashboard Builder Module

User-defined dashboards
User-configurable widgets
Drag & drop parameters visualization

Dashboard Builder Component

Angular 7 based self-serviced dashboards
User selection of graphical widgets
REST end points configuration via web UI

Cloud Connectivity

Cloud Connectivity Module

Data adapters for Cloud systems
Readily available adapter for Siemens MindSphere

Cloud Connectivity Component

JAVA based KPI engine
Integration is available with Kafka and WSO2 for event processing. Native JAVA event processing available.

Key features Of PraEdge

It is an IoT services for building IoT Apps on the Edge.
It is meant for collecting data from various industrial systems, aggregating it, analyzing it, and connecting it to cloud systems.
Industrial systems include Sensors, PLCs, Industrial Controllers, SCADA systems, and Historians
It is meant for on-premises Industrial Plants Discrete Manufacturing, Process Manufacturing, Power Generation, Water Distribution, Sewage Treatment etc.
It is meant for various IoT app requirements ranging from data acquisition services for cloud apps to building full-fledged apps to run within plant firewalls.
It is deployable on Industrial PCs or Windows Servers or Linux Servers.
Benefits of PraEdge include maximum privacy & security, enabling proactive use cases, lowering bandwidth & latency issues, reducing hosting costs and triggering real-time insights.

Our Other Edge Apps

Performance Intelligence & Health Analytics Solution

In this patented digital twin based analytics solution, Pratiti’s PraEdge system modules helps to capture required data from various field devices.
PraEdge further has the ability to communicate with field devices and RMS/SCADA systems using industry standard protocols such as Modbus TCP and OPC UA, among others.
PraEdge has defined mechanism to interface with variety of sensors, IoT specifications/protocols. It can be leveraged as a Software Edge Gateway with better edge compute capability.
The solution is a suite of enterprise applications specifically designed to generate actionable closed loop insights for the renewable energy industry.

Condition Based Monitoring Solution for Rotary Equipment

IoT enabled business application has been built for the Manufacturing vertical especially for the rotary equipment.
The application has been built on our Edge platform and is readily available for monitoring of various assets.
The application’s main use case is Condition based monitoring of critical assets in a manufacturing set-up to raise alerts and notifications in case of asset maintenance or potential asset failure.
The application provides insights in parameters such as frequency, velocity, acceleration of the rotary components.

What makes Pratiti one of the leading edge computing service providers?

Multiple domain and business cases understanding

Expertise in hardware and software (immersive technologies & application development)

Expertise in IoT, Data Science, Digital Twin, AI & ML

IoT experience enablement through mobile apps and AR/VR

Proprietary digital accelerators in the form of Analytics360, MFGSuite & Anuva

Connecting Thought Leader Insights In Our Library.

Blogs

February 10, 2026

10 Digital Twin Use Cases in 2026 for Manufacturing, Energy & Smart Buildings

Table of Content: Manufacturing Digital Twin Use Cases Energy Utilities Digital Twin Use Cases Smart Buildings Digital Twin Use Cases Why 2026 Is an Inflection Point for Digital Twin Technology…

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Blogs

February 4, 2026

From Doing to Deciding: The Strategic Evolution of GCCs in India

Table of Content: Introduction Why GCCs Are Evolving from Execution to Thinking How GCCs Function as Thinking Hubs Ownership of Outcomes, Not Just Outputs GCC Innovation Hubs and Strategic Collaboration…

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Blogs

February 4, 2026

GCC Market in 2026

Table of Content: Introduction Pune GCC vs Tier-I Cities: A Decision Matrix for Mid-Market Leaders Maharashtra Industrial Policy 2026: Why Pune’s Manufacturing Legacy Now Powers GCC 2.0 Pune’s Manufacturing DNA:…

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Frequently Asked Questions

What is Edge Computing and How Does it Work?

Edge Computing is the practice of bringing data computation and storage closer to the sources of data, instead of something like on cloud. This is meant to save bandwidth and improve response time. It can be any kind of computer program that delivers low latency nearer to requests.

In Which Situation Would an Edge Computing Solution be Used?

Edge computing solution or edge computing platform can be used when response time for data computations is a major consideration. An example use case would be when healthcare professionals need to deliver remote care where internet connectivity might not be great.

How Does IoT Relate to Edge Computing?

Data is collected and processed on an edge device. When an object has enough storage and computational power to make low-latency decisions and analyze data in milliseconds, it can be considered part of the Internet of Things. IoT device and edge device are phrases that are occasionally used interchangeably.

Is Edge Computing More Secure?

Since data is filtered at the source instead of rather than sending it to a central data center, Edge Computing can be more secure. However, there are other considerations that depend on you, like how you set up security on your Edge devices (for e.g.: 2-factor authentication for device access.)

Get in touch with our Edge Computing Experts

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Edge Computing

Edge Computing Solution