Edgehax is an innovative technology startup specializing in full-stack Edge AI hardware platforms, founded in 2025 in Bengaluru, India. It builds modular computing solutions that integrate computing power, connectivity, and storage into single-board systems. These platforms are designed to accelerate the development and deployment of AI-driven hardware products across industries. Edgehax is noteworthy for addressing the critical gap in India’s domestic hardware prototyping ecosystem, enabling startups, OEMs, and enterprises to create cutting-edge AI applications without relying on foreign supply chains. The company’s products have already been adopted by over 150 enterprises and have empowered a large community of developers and students, signaling its growing impact in the global Edge AI landscape.
Edgehax was established in 2025 by Prabhu Stavarmath and Savitri Patil in Bengaluru, Karnataka. The founders set out with a mission to pioneer India's indigenous modular Edge AI hardware platforms that combine compute, storage, and connectivity on compact single boards. Their vision is to democratize hardware development by providing accessible, affordable, and reliable AI computing modules. Edgehax ambitiously aims to empower over 100 million developers worldwide by 2029, targeting key markets across Asia-Pacific, the US, and Europe. This vision underscores their commitment to strengthening India’s position in global AI hardware manufacturing and innovation.
At its core, Edgehax builds modular Edge AI computing platforms that consolidate CPU, GPU, and NPU units alongside multi-network connectivity and onboard storage, all integrated on a single board. This fusion of compute and connectivity enables powerful on-device AI inferencing crucial for real-time applications. Their hardware supports compute capabilities ranging from 2 TOPS to 140 TOPS (tera operations per second, INT8 precision), catering to a broad spectrum of use cases from consumer electronics to industrial automation. Modular design allows flexibility in development and rapid prototyping, offering a plug-and-play experience that accelerates product iteration and deployment.
Edgehax's technology has been deployed in diverse areas including industrial gateways, humanoid robots, autonomous vehicles, drones, defense systems, and NavIC-based tracking solutions. The company’s hardware platforms are powering next-generation real-time AI applications such as autonomous robotics and smart IoT devices that require low latency and reliable edge computing. More than 150 startups, original equipment manufacturers (OEMs), and large enterprises are using Edgehax platforms to prototype and build hardware-first AI products. This broad adoption showcases Edgehax's significant role in various emerging technology sectors.
Beyond commercial applications, Edgehax actively supports educational initiatives by enabling hands-on AI hardware learning. It has reached over 100,000 students and faculty across more than 30 universities and premier institutions like the Indian Institutes of Technology (IITs). By distributing developer kits and fostering an active community, Edgehax supports hardware innovation education and skills development. This symbiotic approach fuels a grassroots ecosystem, empowering researchers, students, and developers to experiment with Edge AI technologies, thereby nurturing future innovators in the AI hardware domain.
In August 2025, Edgehax successfully raised ₹1.39 crore (approximately $160,000) in a seed funding round led by Inflection Point Ventures (IPV), an angel investment platform focused on deep tech and hardware startups. This funding is earmarked to enhance manufacturing capacity, fast-track product development, and enable expansion into international markets including Singapore, the United States, and Europe. The capital infusion marks a critical phase for scaling production, innovating new hardware solutions, and strengthening global market access.
Edgehax operates in a competitive environment alongside global players such as Raspberry Pi, Nvidia Jetson, Google Coral, and Qualcomm AI boards. However, it differentiates itself as India’s homegrown alternative with a focus on integrated modularity, local manufacturing, and open-source firmware offerings. Edgehax targets markets demanding domestically-produced, flexible, and cost-effective hardware options, aiming to reduce dependency on foreign imports and foster electronic hardware sovereignty within India. The company is steadily carving a niche within the rising global edge AI hardware ecosystem.
Edgehax has achieved the notable feat of designing and prototyping its entire board ecosystem within India. This accomplishment aligns closely with the Indian government's “Make in India” initiative to boost domestic electronics manufacturing. By relying on local production, Edgehax addresses challenges such as supply chain disruptions and import dependencies. The local manufacturing base also enables better control over quality, faster delivery, and tailored customer support, making Edgehax a significant contributor to India's electronics independence and hardware innovation landscape.
The startup has established strategic partnerships with over 150 startups, OEMs, and large enterprises, facilitating wide adoption of its platforms. Edgehax also gained recognition through programs like the NXP Silicon Seeds Startup Program 2025, where it is developing a low-cost Edge AI compute module for automotive and consumer IoT markets. Supported by the Software Technology Parks of India (STPI) and awarded by the Ministry of Electronics and Information Technology (MeitY), Edgehax is well positioned to cross several milestones, helping accelerate India’s AI hardware capabilities on the global stage.
Edgehax complements its hardware with proprietary software such as DvarOS™, an operating system tailored for industrial edge computing applications. The platform supports SDKs that allow developers to train and deploy convolutional neural networks (CNNs) and transformer models directly onto the hardware, enabling complex AI workloads at the edge. Additionally, modular compute modules offer features like firmware-over-the-air (FOTA) updates, 4G/5G and Wi-Fi connectivity, and support for multiple camera inputs, which are essential for real-time AI and computer vision applications.
With the edge AI hardware market forecasted to grow exponentially—doubling from roughly $26 billion in 2025 to nearly $59 billion by 2030—Edgehax is well poised to capitalize on rising demand for localized intelligent hardware. The company plans to launch 10,000 compute modules for consumer appliances by the end of 2025 and aims to establish itself as a global pioneer in edge AI gateways and single-board computers. Its focus on scalable cloud software, open-source firmware, and developer empowerment primes Edgehax for sustained growth and leadership in emerging AI and IoT markets worldwide.
Edgehax emerges as a vital player in India’s ascending edge AI hardware ecosystem—offering integrated and modular computing solutions that accelerate AI hardware innovation locally and globally. With a strong foundation in product development, educational outreach, and strategic funding, the startup is transforming how AI applications are prototyped and deployed at the edge. Its commitment to the Make in India vision and scalability into international markets highlights a future where Edgehax could become synonymous with next-generation AI hardware innovation. Will Edgehax’s homegrown solutions empower millions of developers worldwide and reshape AI hardware paradigms? The coming years will reveal its transformative potential.