Home - ThingSphere

Use Cases

Industry 4.0

Factories usually look for adaptability, better allotment of resources, client orientation, maintainability and high security. ThingSphere transforms them with robotics and advanced technology, IoT, analytics and the cloud.

Track and Trace

We help industries enhance tasks by understanding the area and state of entire material and other resources as well to manage stock, monitor materials, understand usage, and plan and manage employees.

Smart Cities

The smart city solutions powered by the ThingSphere Platform place specific emphasis on the efficient use of the road infrastructure, public service facilities, and smart buildings that could set a standard of urban living.

Health Care

With a specific end goal to regard the mission particular nature of IoT in Healthcare we give services starting from Telehealth and remote customer observing,medical appliances and Smart Health organization as in hospital.

IOT PaaS

Data Analytics

There is a huge data generated each and every second through which our software produces results in the form of graphs and charts.

Real Time Messaging Framework

Characterize application and stage warnings, empowering clients or stage executives to be educated quickly about abnormal conduct.

Data Science

Invest more time in constructing better models when utilizing AI/Machine learning advancements like Rekognition, Spark MlLib, AWS ML, Polly, Tensor Flow, cuDNN, NLTK, Stanford Core NLP, Azure ML, Lex, Caffe, Scikit-learn, H20 ai, PyTorch, and SciPy in one community data science workspace that work for the organization. Data scientists can utilize the platform with the devices and systems they have knowledge about.

Data Warehousing and Processing

Essentially managed data processing pipelines fastened via automatic scaling cloud computing framework to convey quick processing speed and security with high advantages and simplicity.

Edge Systems

Our application determines the flow of traffic and process the data to the place it has been created rather than copying it to the cloud and this ultimately reduces the traffic.

Sensors Integration

Absorb information from sensors, client, endeavor frameworks, and operational frameworks utilizing a versatile and adaptable design

We provide a IoT PaaS to quickly creating and working on enormous information, rightly foresee analytics, AI/Machine learning. We also additionally offer a group of configurable and extensible SaaS applications designed and work on its PaaS.

While the IoT is a network of devices that is rooted with software, electronics, actuators and sensors that enables objects to connect and exchange data, the ThingSphere Internet of Things (IoT) platform is what makes IoT happen for the devices. ThingSphere is an application that connects IoT with cloud and the output devices corresponding to it.

The set of components of ThingSphere platform enables operation of applications that manage, control and monitor devices as well as deploys independent and secure connectivity between devices, remote data collection from connected devices and sensor management.

ThingSphere platform also ensures large scale IoT cloud solutions for the smart city and smart energy integrators and it also ensures technological improvement as well as better customer experience in sectors such as healthcare and hospitality.

View Details

IOT Applications

Predictive Maintenance

Predictive management works beyond the regular rule base frameworks by using machine learning to figure out the breakdowns in prior. The algorithms used examines the significant data like structured and unstructured data, asset management, sensor relation data. The unsupervised machine learning algorithm allows the operators to detect the unusual activities.

Energy management

The AI/Machine learning algorithms used helps in determining the energy savings possibility in day to day life and consecutively take some real time action to lessen the vitality costs. The algorithms analyze numerous kinds of things like sensor, power consumption, building working information, climate predictions and much more.

CRM

The CRM application uses AI/Machine Learning algorithms to drive operational magnificence, high profits in sales, promotions and customer care. It is nowhere like the usual ones which requires man work to predict the outcome and organize the tasks. It also predicts the client accelerations and call for the delays where meanwhile the related team can look upon the issues before it affect the client.

Fraud Detection

Fraud detection application uses modern AI/Machine learning algorithms to identify the false actions of the clients and the business partners as well. The algorithms finds any suspicious activities with great accuracy to make a complete use of the analyst and examiner endeavors. Through AI/machine learning based relationship among dissimilar organization systems and very frequent transactions, this application sets up false on screen actors and advanced version of support pipeline management for the clients.

Sensor Monitor

It uses next level AI/Machine learning algorithms to foresee the sensor breakdowns, distinguish sensor and network issues. It notifies the operators with emergency tones and alarms them in order to take precautions in advance. The algorithms used will alert about the machines that are prone to breakdown.

Fleet Manager

We provide all the solutions related to the fleet management right from tracking the vehicle to reducing the cost of travel.

Our expertise from device to cloud and enterprise applications to big data analytics enables us to architect and implement end-to-end secure commercial-ready IoT applications at a larger scale. Our solutions integrate the best of our as well as industry components to provide seamless actionable insights.

The applications for internet connected devices are extensive. ThingSphere categorizes them as enterprise (business) and infrastructure applications and references the inter-connectivity of everything from urban transport to medical devices to household appliances to enterprise machinery.

The enterprise application of ThingSphere’s intelligent systems enable rapid manufacturing of new products, dynamic response to product demands, and real-time optimization of manufacturing production and supply chain networks by networking machinery, sensors and control systems together.

The infrastructure application of ThingSphere can help in taking faster decisions and save money with Real-Time Data Analytics. It can also be used for scheduling repair and maintenance activities in an efficient manner, by coordinating tasks between different service providers and users of these facilities

View Details

IOT PaaS

IOT PaaS

Data Analytics

There is a huge data generated each and every second through which our software produces results in the form of graphs and charts.

Real Time Messaging Framework

Characterize application and stage warnings, empowering clients or stage executives to be educated quickly about abnormal conduct.

Data Science

Invest more time in constructing better models when utilizing AI/Machine learning advancements like Rekognition, Spark MlLib, AWS ML, Polly, Tensor Flow, cuDNN, NLTK, Stanford Core NLP, Azure ML, Lex, Caffe, Scikit-learn, H20 ai, PyTorch, and SciPy in one community data science workspace that work for the organization. Data scientists can utilize the platform with the devices and systems they have knowledge about.

Data Warehousing and Processing

Essentially managed data processing pipelines fastened via automatic scaling cloud computing framework to convey quick processing speed and security with high advantages and simplicity.

Edge Systems

Our application determines the flow of traffic and process the data to the place it has been created rather than copying it to the cloud and this ultimately reduces the traffic.

Sensors Integration

Absorb information from sensors, client, endeavor frameworks, and operational frameworks utilizing a versatile and adaptable design

We provide a IoT PaaS to quickly creating and working on enormous information, rightly foresee analytics, AI/Machine learning. We also additionally offer a group of configurable and extensible SaaS applications designed and work on its PaaS.

While the IoT is a network of devices that is rooted with software, electronics, actuators and sensors that enables objects to connect and exchange data, the ThingSphere Internet of Things (IoT) platform is what makes IoT happen for the devices. ThingSphere is an application that connects IoT with cloud and the output devices corresponding to it.

The set of components of ThingSphere platform enables operation of applications that manage, control and monitor devices as well as deploys independent and secure connectivity between devices, remote data collection from connected devices and sensor management.

ThingSphere platform also ensures large scale IoT cloud solutions for the smart city and smart energy integrators and it also ensures technological improvement as well as better customer experience in sectors such as healthcare and hospitality.

View Details

IOT Applications

IOT Applications

Predictive Maintenance

Predictive management works beyond the regular rule base frameworks by using machine learning to figure out the breakdowns in prior. The algorithms used examines the significant data like structured and unstructured data, asset management, sensor relation data. The unsupervised machine learning algorithm allows the operators to detect the unusual activities.

Energy management

The AI/Machine learning algorithms used helps in determining the energy savings possibility in day to day life and consecutively take some real time action to lessen the vitality costs. The algorithms analyze numerous kinds of things like sensor, power consumption, building working information, climate predictions and much more.

CRM

The CRM application uses AI/Machine Learning algorithms to drive operational magnificence, high profits in sales, promotions and customer care. It is nowhere like the usual ones which requires man work to predict the outcome and organize the tasks. It also predicts the client accelerations and call for the delays where meanwhile the related team can look upon the issues before it affect the client.

Fraud Detection

Fraud detection application uses modern AI/Machine learning algorithms to identify the false actions of the clients and the business partners as well. The algorithms finds any suspicious activities with great accuracy to make a complete use of the analyst and examiner endeavours. Through AI/machine learning based relationship among dissimilar organization systems and very frequent transactions, this application sets up false on screen actors and advanced version of support pipeline management for the clients.

Sensor Monitor

It uses next level AI/Machine learning algorithms to forsee the sensor breakdowns, distinguish sensor and network issues. It notifies the operators with emergency tones and alarms them in order to take precautions in advance. The algorithms used will alert about the machines that are prone to breakdown.

Fleet Manager

We provide all the solutions related to the fleet management right from tracking the vehicle to reducing the cost of travel.

Our expertise from device to cloud and enterprise applications to big data analytics enables us to architect and implement end-to-end secure commercial-ready IoT applications at a larger scale. Our solutions integrate the best of our as well as industry components to provide seamless actionable insights.

The applications for internet connected devices are extensive. ThingSphere categorizes them as enterprise (business) and infrastructure applications and references the inter-connectivity of everything from urban transport to medical devices to household appliances to enterprise machinery.

The enterprise application of ThingSphere’s intelligent systems enable rapid manufacturing of new products, dynamic response to product demands, and real-time optimization of manufacturing production and supply chain networks by networking machinery, sensors and control systems together.

The infrastucture application of ThingSphere can help in taking faster decisions and save money with Real-Time Data Analytics. It can also be used for scheduling repair and maintenance activities in an efficient manner, by coordinating tasks between different service providers and users of these facilities

View Details

Seamless Integration

Real time analytics ensure that the operator can monitor the performance and predict the failure of equipments and workflows accordingly. Our platform goes through information generated by instrumented equipment in your plant in order to provide visibility into factors that contribute to lost productivity. In the long run, you can utilize the prescriptive analytics to enhance the quality of production processes, components, materials and products.

Industries

Refineries

With ThingSphere, refineries can plan their shutdowns, minimize their downtime, and improve their safety records.

Construction

With ThingSphere platform it's a breeze to set up Supply Replenishment, Construction Tools and Equipment Tracking, Equipment Servicing and Repair and Remote Usage Monitoring.

With ThingSphere platform it's a breeze to set up Supply Replenishment, Construction Tools and Equipment Tracking, Equipment Servicing and Repair and Remote Usage Monitoring. You can also effectively monitor various parameters and achieve power and fuel Savings.

Preventive Maintainance

ThingSphere platform attempts to prevent any probable failures/breakdowns resulting in production stoppages.

Energy

ThingSphere enables remote monitoring of real-time data from various energy assets at multiple locations. You can reduce costs and save resources with our smart energy and environmental efficiency technologies.

Fleet management

With features like transport telemetry, real time visualization, risk management and route planning, ThingSphere makes it easier to manage your logistics and transport.

Testimonials

Our Team

Core values are what support the vision, shape the culture and reflect the company values.

Meet Our Team

Get to know the team behind ThingSphere

Geeta Puri

Co-Founder & Director

Geeta has 17+ years of global experience in companies like GIT, Roamware, Axar.Tech. Geeta is a tech enthusiastic and takes care of the overall operations, management and delivery.

Nikhil Rastogi

Co-Founder & Director

Nikhil has 13+ years of experience and worked in Infosys and thereafter built a successful company in MENA region from scratch. Nikhil takes care of marketing and business operations.

Shiv Kumar Gupta

Co-Founder

Shiv has 17+ years of global experience in companies like Riverrun Software, Globallogic, Motorola and Innominds. Shiv takes care of the overall operations, management and delivery.