Bengaluru-based deeptech startup Nova Spectral AI has secured ₹21.15 crore in a seed funding round led by Shastra VC. The company is developing affordable short-wave infrared (SWIR) sensors using quantum dot technology. This move aims to reduce India's reliance on expensive, imported imaging components for defense and consumer electronics applications.
Bengaluru-based deeptech startup Nova Spectral AI has raised ₹21.15 crore in a seed funding round led by Shastra VC, with participation from Equirus InnovateX Fund and other angel investors. The company plans to use this capital to develop short-wave infrared (SWIR) sensors using quantum dot technology, which aims to be a more cost-effective alternative to traditional imaging materials.
The current industry standard for infrared imaging relies on Indium Gallium Arsenide (InGaAs). While this material provides high performance, it is expensive to manufacture and requires complex, specialized processes. Nova Spectral AI is working on depositing lead-free Indium Arsenide (InAs) colloidal quantum dots onto standard silicon CMOS chips. This approach, if successfully executed, could significantly reduce production costs. By using standard silicon-based manufacturing, the company hopes to make infrared imaging accessible for a broader range of applications that were previously considered too costly.
Targeting Defense and Consumer Markets
The startup is focusing heavily on the defense sector, particularly for intelligence, surveillance, and reconnaissance (ISR) equipment. High costs currently limit the use of SWIR sensors in smaller, more numerous drone fleets. By developing domestic, lower-cost sensors, the company aims to help reduce dependence on imported components for sensitive defense hardware. This aligns with the broader Indian government push toward indigenization in defense manufacturing, known as 'Atmanirbhar Bharat'.
Beyond defense, the technology has potential uses in consumer hardware. SWIR sensors have the ability to 'see' through environmental obstacles such as smoke, haze, and dust, which gives them an advantage over standard optical cameras. This could lead to potential future integrations in smartphones, wearable devices, and autonomous vehicle sensors.
Understanding the Risks and Challenges
While the technology offers significant potential, investors should note that deeptech hardware development carries distinct risks compared to software-based startups. Hardware projects often require longer research and development timelines and higher capital spending before reaching commercial scale. Nova Spectral AI has stated it aims to offer a field-ready prototype within 18 months, which is a tight timeline for semiconductor-related hardware innovation.
Execution risk remains the primary monitorable. Moving from lab-scale prototypes to mass manufacturing involves overcoming complex material science hurdles and yield optimization. As this is a seed-stage investment, the company will likely need significant additional capital in the future to scale manufacturing facilities and achieve commercial viability. Future updates to track include the successful development of their prototype, performance validation against established InGaAs standards, and progress in securing partnerships for defense or consumer electronics testing.