Azimuth AI and Cyient Unveil India’s First Intelligent-Power Platform-on-Chip
Azimuth AI and Cyient Semiconductors have introduced ARKA GKT-1, India’s first-generation intelligent-power system-on-chip, designed specifically for smart energy and edge AI applications. This energy-efficient chip blends custom compute units with advanced sensing, memory, and power management to support industrial automation, smart utilities, and other critical sectors.
The ARKA GKT-1 aims to revolutionize how edge devices operate by enabling AI workloads without compromising on energy consumption. The developers expect the SoC to address a growing need for on-device intelligence, especially in environments where latency, reliability, and power efficiency are paramount. By embedding sophisticated power management capabilities, the chip promises to reduce energy overhead while delivering high performance.
For applications such as industrial control systems and smart-grid utilities, ARKA GKT-1 is poised to bring significant gains in efficiency and responsiveness. It also supports edge computing use cases where connectivity may be intermittent, enabling devices to process data locally rather than relying entirely on cloud infrastructure.
The collaboration between Azimuth AI and Cyient underscores India’s ambition to build indigenous capabilities in semiconductor design and deployment. Rather than relying solely on global chipmakers, this development points toward a future where domestic companies design chips with domain-specific intelligence. The partnership delivers a proof-of-concept for “compute near the source,” allowing AI to drive productivity at the edge in power-sensitive environments.
Beyond its commercial applications, the ARKA GKT-1 is seen as a stepping stone toward more complex, intelligent silicon solutions that align with India’s evolving technological agenda. As edge AI adoption expands across manufacturing, energy, and infrastructure systems, locally designed silicon could become a key enabler of India’s digital and green transformation.

