Bengaluru-based semiconductor startup HRDWYR has raised $13 million [1] in a Series A funding round [1] to build AI-native chips.
This investment marks a strategic push to transition artificial intelligence from centralized cloud servers to real-world edge devices. By developing what the company calls "Physical AI," HRDWYR aims to enable intelligence to function locally on hardware, reducing latency and dependency on external connectivity.
The funding round was led by Ideaspring Capital [4]. Other participating investors include Singularity AMC, Avatar Growth Capital, and Persistent Systems [5]. In local currency, the investment is valued at ₹124 crore [2].
HRDWYR focuses on the development of semiconductors specifically designed for edge computing. These chips are intended to support applications where AI must interact directly with the physical environment—a shift that requires hardware capable of processing complex data without relying on a distant data center.
The company intends to use the capital to expand the development of these AI-native chips. This effort is part of a broader trend in the semiconductor industry to optimize hardware for specific AI workloads rather than relying on general-purpose processors.
Bengaluru has emerged as a primary hub for this type of deep-tech innovation. The influx of capital into HRDWYR suggests growing investor confidence in India's ability to produce specialized silicon for the global AI market.
“HRDWYR has raised $13 million in a Series A funding round to build AI-native chips.”
The shift toward 'Physical AI' represents a move away from cloud-dependency, allowing devices to process information in real-time. By funding specialized AI-native silicon, investors are betting that the next phase of AI growth will happen at the hardware level within the edge computing ecosystem rather than solely through larger software models in the cloud.
