Smart and Connected Consumer Electronics Products for Next Generation
Helping you to add novel features to the existing device or build new electronic device from the ground up.
We provide full-fledged Consumer Electronics Product Development
Future Ready Products
Our Consumer Electronics Development Services
Embedded System Software Design and Development
Our Team uses open and proprietary operating systems, creating all levels of software, from firmware to application software and graphical user interfaces (GUI).
Product Performance Optimization
Our Application Performance Optimization service ensures that systems run efficiently, identifying and diagnosing performance problems so that the device never faces downtime.
IoT enabled Consumer Apps
We build IoT-enabled Consumer Electronics applications that help enable smarter decision making and improve user engagement.
We integrate cloud-enabled products with the latest technologies, including microservices, voice technology and AI, for better consumer life style.
Mobile Application Development
We develop and deliver scalable mobile applications for electronics products that enhance Customer Experience and Workforce Productivity with Innovative Mobility Solutions.
Our experts can migrate your product to the cloud to capture its data and process it for smart decision making.
Our Technology Expertise
- Azure IoT Hub
- AWS IoT hub
- Google Cloud
- Near Field Communication (NFC)
- Radio-Frequency Identification(RFID)
We are a System Integrator for Consumer Electronics Companies
Application Performance Management
Application Performance Management Software is designed to manage and evaluate app performance status and levels, facilitating real-time and accurate observations of system health.
Server Management Software is used to monitor the performance of servers.
“20.4 billion connected things will be in use worldwide by 2022”
Our Work in Consumer Electronics
World’s First Robotic Tea Maker
Arya is the First Chai making robot having the capabilities of AI. It can detect a user’s face using computer vision and reply back with an exact recipe name by predicting the user’s behavior using Machine Learning(ML). It uses Speech recognition and NLP to interact with the user to take the next order.