Rapidise Launches Scalable RISE Modules and Edge AI Box for Mission-Critical Vision Systems

New Qualcomm-based modular architecture offers pin-to-pin upgradability and a decade of lifecycle support for AI-driven defense and industrial applications. By Embedded Systems Engineering / 18 Dec 2025
Follow ESE

Rapidise, an Original Design Manufacturer (ODM) specializing in vision systems and edge computing, has introduced its RISE Modules and Edge AI Box portfolio. Designed to streamline the development of smarter, connected devices, the modular system is built upon Qualcomm’s System-on-Chip (SoC) platforms to provide a scalable foundation for original equipment manufacturers and system integrators.

The RISE module architecture features a pin-to-pin upgradable design, allowing for seamless performance transitions ranging from 3.5 TOPS to 12 TOPS. This approach is intended to ensure long-term lifecycle sustainability of over ten years while reducing the total cost of ownership for complex systems. The hardware engineering IPs supporting these modules span various reference-design-ready platforms, including AI-enabled cameras, dash cameras, and IP cameras.

The product portfolio utilizes the Qualcomm QCS 6125, SM 6225, QCS 5430, QCS 6490, and QCS 8550 series. By utilizing these pre-validated reference designs, developers can reduce design friction and accelerate the transition from prototyping to full-scale production.

“With Rapidise, we are redefining how modular innovation drives value in the connected ecosystem. Our goal is to empower OEMs to innovate faster and scale smarter, without reinventing their hardware foundations,” said Brijesh Kamani, CEO & MD of Rapidise.

Ashish Chinthal, CBO of Rapidise, added: “Our ‘Made-in-India’ RISE portfolio is engineered to unlock the power of Qualcomm’s advanced SoCs, enabling white-label-ready Vision AI solutions that support rapid market expansion and sustainable product growth.”

The technology is positioned to support a variety of ecosystems, including security, automotive, and Industry 4.0. The “RISE X, Y, and Z” series are specifically engineered to balance high performance with energy efficiency, targeting the requirements of intelligent edge devices.

“By engineering the RISE X, Y, and Z series on Qualcomm’s high-performance platforms, we’ve built a versatile foundation for AI-driven products that blend performance with energy efficiency—future-proofed for the next decade of intelligent devices,” stated Sheshadri Joshi, VP of Hardware Engineering at Rapidise.

Manmeet Singh, Senior Director & India Business Head – Automotive, Connectivity, Broadband & IoT at Qualcomm India, commented: “Qualcomm is proud to collaborate with Rapidise in powering their module platforms and product solutions with our advanced SoC technologies. This partnership reflects our shared commitment to accelerating intelligent-edge innovation and enabling scalable, AI-driven solutions for OEMs across industries. It underscores Qualcomm’s dedication to fostering cutting-edge design and engineering excellence in India.”

Rapidise operates a global R&D and production team of over 700 specialists, providing end-to-end services from initial design and certification to manufacturing and lifecycle support for embedded software, AI, and electronics.

Posted by Embedded Systems Engineering Connect

Latest Articles

ThunderSoft Debuts AI-Native Operating System Architecture Across Automotive and Robotics Sectors

New AIOS platform integrates system-level artificial intelligence to bridge the gap between digital models and physical hardware execution.

Jan 12, 2026
Modular Development Kit Streamlines Zone Controller Design for Software-Defined Vehicles

Infineon and Flex debut a scalable ZCU platform featuring 30 unique building blocks to accelerate automotive E/E architecture transitions.

Jan 07, 2026
TDK Advances Wearable Intelligence with Edge-Processing Motion Sensors

New SmartMotion IMUs offload computational tasks from the central processor to the sensor, enabling high-fidelity spatial audio and AR overlays with ultra-low power consumption.

Jan 07, 2026
NXP Launches S32N7 Processor Series to Centralize Core Vehicle Functions

New 5 nm super-integration processors enable OEMs to consolidate propulsion, safety, and body domains into a single hub, reducing architecture complexity and costs.

Jan 05, 2026
High-Endurance NVMe BGA SSDs Gain Traction in Mission-Critical Programs

Greenliant’s NVMe NANDrive EX Series targets aerospace and industrial applications with ultra-high endurance and advanced security features.

Jan 04, 2026
High-Performance Edge Platform Debuts to Accelerate AI-Driven Clinical Diagnostics

Axiomtek introduces a medical-grade computing system featuring 13th Gen Intel Core processing and dedicated GPU expansion for real-time imaging and surgical monitoring.

Jan 04, 2026

Featured Content

Voyant Photonics Unveils Fully Solid-State 4D FMCW LiDAR Platform

The new Helium family leverages silicon photonics to provide high-resolution depth and velocity sensing in an ultra-compact, software-defined package for autonomous systems.

Dec 18, 2025