Connect everything, transform anything. The explosion in connected devices and platforms, abundance of data from field devices and rapidly changing technology landscape has made it imperative for companies to quickly adapt their products and services and move from physical world to a digital world. Companies will need to leverage Internet of Things (IoT) technologies for this transformation.
It is important to look beyond the connected devices and protocols to drive business value from IoT investments. Success of an IoT initiative hinges upon capabilities in data acquisition, integration, analytics, and an in-depth expertise in enterprise business processes.
Concretely we can help you:
Engage & Enable your IoT Journey
Build & Deploy your IoT Solutions
Manage, Analyze & Correlate
Institutionalize & Optimize
You can feel confident when choosing to collaborate with us on IoT.
Global and local partnerships with the top IoT platform and complementing technology vendors – Early access to technology expertise and roadmap know how
End-to-end Product Design & Engineering capabilities and delivery methodology for IoT roadmaps and deployments to improve ROI and reduce time-to-market
IOT Labs to research and build technology IP and assets. Examples: AutoPulse, iHeal, IPS3, e-Objects
Deep domain expertise in the industries we serve. Leverage our Dedicated Industry Practices and Centers of Excellence – thought leadership, best practices and assets for specific industries
Patented methodologies for problem solving and building innovation including the Applied Innovation Exchange (AIE) and Accelerated Solutions Environment
IoT Platform Selection for a major Telecom & Entertainment company; Evaluation criteria to select the IoT, M2M and Cloud platform, study of the platforms on business parameters to shortlist and technical assessment of the shortlisted platforms and recommendation.
IoT & Analytics Center of Excellence for a major Mining company; Establish and operate IOT and Analytics Center, assess massive volumes of data captured from mining equipment and implement our PAHS to predict and prevent engine breakdowns, boost productivity and safety.
Improving customer service for a Data Storage giant; Implementation of IHEAL Online to intercept events, apply user-defined business rules, aggregate related events, eliminate transmission of duplicates, and reduce dial homes. Use of IHEAL Offline Diagnostics to automate triaging and debugging of issues.
Failure Pattern Analysis for Medical Device Manufacturer; Predictive Failure Pattern Analysis & Diagnostics for Interventional X-Ray systems. Pattern Detection Engine of IHEAL to analyze historical data and failure logs to derive predictive failure patterns. Patterns are then deployed online to enable proactive support and automated diagnostics.
IoT for Connected Healthcare company; A home-based remote monitoring system for implantable Class III medical devices. Medical care professionals can react and interact with patients based on the nature of alerts. Provide timely medical assistance and contain healthcare costs.
IHEAL: Our Predictive analytics-based IOT solution that enables remote monitoring and diagnostic for connected products.
IAUTOPULSE: Prognostic Asset Health Solution based on first principle for accurately determining asset health and RUL ( Remaining Useful Life).
IPS3 (Integrated Product Support & Sustaining Services): Our information consolidation platform for delivering Engineering Analytics and insights from multiple product related data sources.
If you would like more information on our services or you are interested in starting your IoT journey, please fill out the form below and a member of the team will be in contact shortly:
A technology enthusiast with over 20 years of experience in the IT industry with current focus on AI and Analytics. His experience spans several different sectors including retail, oil & gas, medical, automotive, manufacturing, and banking and insurance. While he has helped several companies in leveraging data and business intelligence capabilities, he now focuses on ensuring that they derive value from newer AI technologies. These include machine learning, deep learning, blockchain, chatbots and AR/VR. He believes in delivering value to the end customer and their happiness through hardware and software as one point solution.