Brandworks Technologies and SandLogic Partner to Develop Full-Stack Edge AI Hardware in India

Brandworks Technologies and SandLogic Technologies have entered into a strategic partnership to co-develop full-stack, edge-AI hardware products designed and built in India. The collaboration brings together Brandworks’ capabilities in product design, hardware architecture, and manufacturing with SandLogic’s work in edge AI chips and multilingual speech intelligence.   The companies plan to jointly develop AI-enabled devices for use cases such as voice-enabled assistants,...

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December 19, 2025 • 2:30 PM  0
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Brandworks Technologies and SandLogic Partner to Develop Full-Stack Edge AI Hardware in India
rtner to Develop Full-Stack Edge AI Hardware in India
Brandworks Technologies and SandLogic Technologies have entered into a strategic partnership to co-develop full-stack, edge-AI hardware products designed and built in India. The collaboration brings together Brandworks’ capabilities in product design, hardware architecture, and manufacturing with SandLogic’s work in edge AI chips and multilingual speech intelligence.   The companies plan to jointly develop AI-enabled devices for use cases such as voice-enabled assistants,...
Full Story: https://www.sangritoday.com/spotlight/brandworks-technologies-and-sandlogic-partner-to-develop-full-stack-edge-ai-hardware-in-india
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Brandworks Technologies and SandLogic Partner to Develop Full-Stack Edge AI Hardware in India

Brandworks Technologies and SandLogic Technologies have entered into a strategic partnership to co-develop full-stack, edge-AI hardware products designed and built in India. The collaboration brings together Brandworks’ capabilities in product design, hardware architecture, and manufacturing with SandLogic’s work in edge AI chips and multilingual speech intelligence.

 

The companies plan to jointly develop AI-enabled devices for use cases such as voice-enabled assistants, intelligent IoT systems, and mobility applications, where on-device processing is critical for latency, security, and offline functionality. By processing intelligence directly on the device, these products aim to reduce dependence on cloud infrastructure while improving response time and data control.

 

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