UIS specializes in delivering advanced intelligent systems that combine embedded electronics, IoT connectivity, and AI/ML-powered analytics to deliver smart, adaptive, and scalable solutions. These systems enable real-time control, predictive decision-making, and secure connectivity across a range of applications — from industrial automation to smart infrastructure.
Our strength lies in integrating cutting-edge hardware and software technologies to create flexible, modular, and future-ready solutions. UIS is committed to helping industries achieve operational efficiency, automation, and intelligence by leveraging embedded systems, IoT platforms, and artificial intelligence.
Core Capabilities
Embedded Systems
Design and development of high-performance embedded systems for diverse applications.
- MCU/MPU Designs: Development of microcontroller and microprocessor-based solutions for control, monitoring, and computation. Support for ARM, RISC-V, and custom SoCs.
- FPGA & CPLD Prototyping: Hardware prototyping using FPGA and CPLD for flexible system design and rapid verification before final implementation.
- Real-Time OS Integration: Integration of RTOS for deterministic control in critical applications. Support for FreeRTOS, VxWorks, and QNX.
IoT Solutions
Building secure, connected systems for real-time data acquisition, control, and analytics.
- Smart Gateways: Multi-protocol device integration and edge computing capabilities for reduced latency.
- Cloud Integration: Secure cloud-based storage and analytics with AWS, Azure, Google Cloud, or private cloud integration.
- Device Security: Secure boot, firmware protection, encrypted communication, and compliance with cybersecurity standards.
AI & ML Integration
Leveraging AI for smarter decision-making and automation.
- Edge AI Systems: AI algorithms deployed directly on embedded hardware for low-latency decision-making, optimized for constrained hardware.
- Predictive Analytics: Real-time data analysis for predictive maintenance and process optimization, with machine learning models for anomaly detection.
Core Applications
- Industrial Automation: Smart manufacturing, predictive maintenance, process optimization, robotics control.
- Smart Infrastructure: Intelligent building management, energy optimization, automated security.
- Connected Devices: Industrial IoT, smart gateways, device-to-cloud communication.
- Edge AI Applications: Low-latency automation for manufacturing, transportation, and logistics.
- Cyber-Physical Systems: Embedded hardware + AI to create autonomous systems for defense, aerospace, and industrial applications.