Scalable IoT Services - From Device to Cloud
Enabling Real-Time intelligence for Edge Devices and embed easy connectivity with cloud-enabled solutions.
Explore All
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.
Consulting and Implementation
End-to-End Solutions for developing connected solutions for applications and processes which improve operational efficiency.
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.
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.
IoT solutions to scale operations and drive business value
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
Explore Our IoT Platform Services
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.
AWS Connectivity and Control Solutions
Simplify the development of scalable and reliable applications for devices and administer them at the edge with AWS
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.
-
What is the impact of Edge Computing on the Internet of Things?
-
What are the benefits of enabling Digital Twin Technology?
-
What is the role of Edge Analytics in Manufacturing Industry?
IoT to Enhance Business Efficiency and Agility
Automate and Modernize Connected Solutions development with seamless connectivity and integration
Enterprise Technology
Banking and Finance Sector
Healthcare
Education
Transportation
Retail
View All
Key Enablers
Enablers for Accelerating Digital Transformation
Big Data Engineering
Enterprise AI
Data Science
DevOps
Data Visualization
Serverless
View All
RESET
Here are our Recommendations...
Companies can effortlessly access and analyze data that helps improve decisions with the help of business intelligence and data analytics tools and practices. Having the right information at the...
What is Apache Solr? Apache Solr is an open source search platform developed upon a Java library described Lucene. Solr is a kind of full-text search server that uses the Lucene Java search library...
What is Serverless Applications? Serverless does not mean that there is no server. It means you don’t have that server in which you are going to be managing and putting your entire application....
Introduction to Edge AI in Automotive Industry When we think about Edge AI in the automotive industry, most of us have thought about cars' functionality that can be remotely controlled via smart...
Introduction to Responsible AI for Customer Services As Artificial Intelligence technologies become more pervasive, solutions such as recommending products, risk assessment, behavior assessment,...
Introduction Edge AI Processing data near the edge of the network, where the data is generated, instead of a centralized data-processing warehouse. Edge computing enables mobile computing and IoT...
Introduction to Machine Learning For many years, developers and businesses have understood how important it is to test the software before deployment. Before it can interface with the customers, the...
Why do we need to streamline the Machine Learning Projects? During a machine learning project, the phases to be implemented are defined by machine learning workflows. Data collection, preprocessing,...
Introduction to NLP in AI In today's digital world, businesses are overpowered with unstructured data. So without the right technology, businesses can't process and analyze a huge volume of...
What is an API? The API stands for Application Programming Interface. It is a software interface that allows you to communicate with more than two applications. In other words, an API is a messenger...
Introduction DevSecOps pipeline ensures that security is monitored throughout the life cycle of software development. Here, we describe each DevSecOps category and suggest useful DevSecOps tools that...
Introduction to AIOps and DevOps While orchestration and monitoring play key roles in DevOps, the emerging practice of using artificial intelligence (AI) to support and automate operational roles by...
Introduction to Open Telemetry Open Telemetry is an open-source project hosted by CNCF that provides a standard way to generate telemetry data. It provides a set of APIs, libraries, agents, and...
Introduction to Graph Analytics and Knowledge Graph Graph analytics is a new field of data analytics that helps businesses leverage their model by adopting a variety of its algorithms to identify the...
Overview of Data Visualization Data Visualization is the graphical representation of information. By using best Visualization tools or visual parts like layouts, outlines, and maps, data perception...
What is User Story? User Story is the High-level definition of the requirement of project demands that involves enough information that the developer has to give an estimate of the effort required to...
What is Infrastructure Management? Infrastructure management is the process of overseeing and maintaining the hardware, software, and related systems that support an organization's operations. This...
Introduction to AWS Serverless Computing Before we introduce AWS Serverless Computing let's talk about it. Basically in layman language usage of serverless computing will result in No efforts...
Introduction to Threat Intelligence Threat intelligence is the process of gathering and analyzing information about potential security threats to an organization, with the aim of preventing or...
What is Dynamic Application Security Testing (DAST)? It is a test that is done from an end-user perspective to detect malicious activities and attacks. In this, security test cases are performed...
What is Security Testing? A testing type of software testing that reveals vulnerabilities, pitfalls, and pitfalls in a software operation prevents vicious attacks from interfering. The purpose of...
Introduction to Product Development With new products hitting the market daily, the need to develop better products is increasing daily. Factors like industry, product type, features, and others come...
Introduction to Incident Management Tools Incident management tools are software applications that help organizations manage incidents, track and monitor incident response progress, and measure the...
Introduction to BizOps for Digital Transformation It is a constant mantra in today’s business world. It’s not just about creating digital products, services, and experiences. To succeed in the...
Introduction to Digital Business Automation Business Process automation comes with many advantages, including increased customer satisfaction, service consistency, managed workflow, etc. With the...
What is Digital Transformation? Have you ever thought of using technologies to modify existing or create new business processes? Thinking of customer experiences to meet changing business and market...
What is Big Data in Cloud Computing? The efficient operation of large data applications in cloud-native environments is a difficult problem with both theoretical and practical value.
What is Kubernetes Operators? Kubernetes is growing day by day, and now every organization is keen to adopt the containerization technology and it's gone so for that it can quickly deploy the ...
Introduction to Kubernetes Security In recent years, the digital world has seen a transition of application architecture from monolithic to microservice. Containerization & container orchestration...
Introduction to Kubernetes We are rapidly moving towards the age of cloud computing, where every organization, small or big, has or wants its resources and data to be available, no matter what region...
Digital Transformation Enablers
Request for Services
Find out more about levaraging the true potential of AI
Connect to a Technology Specialist
×
Thanks for submitting the form.
×
Thanks for submitting the form.
Helping Enterprises develop Cloud Native and AI-First Capabilities
Enablers for Accelerating Digital Transformation
Internet of Things Usecases
Smart Agriculture Solutions and Applications
Smart Agriculture Solutions and Applications
Architecture of Data Processing for Smart Cities
Architecture of Data Processing for Smart Cities
Thanks for submitting the form.
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.
Transform your
Enterprise With XS
Capabilities
-
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.
Facebook
Twitter
LinkedIn
Email