technology•Wed, October 28, 2026•4 min read

India's Deep-Tech Surge: Two Startups Emerge to Transform AI Vision Systems

India's space and defense startup ecosystem is gaining significant momentum as Nova Spectral AI and SpectraGaze secure fresh funding. Both companies are focusing on developing indigenous, high-precision infrared sensor technology to reduce reliance on imported components.

A New Chapter for Indigenous Space-Tech

The Indian deep-tech landscape is shifting rapidly toward hardware self-reliance. In a significant move for the nation’s growing space and defense sectors, two startups—Bengaluru-based Nova Spectral AI and SpectraGaze—have secured capital to address a critical technological bottleneck: the development of indigenous infrared imaging and sensor systems.

Nova Spectral AI, founded by Anish Priyadarshi and Sanjeev Kumar, recently closed a Rs 21.15 crore ($2.25 million) seed round led by Shastra VC, with participation from Equirus InnovateX Fund. Meanwhile, SpectraGaze has raised Rs 3.7 crore to bolster its infrastructure for optical payloads and infrared detectors. These investments underscore a growing investor appetite for startups capable of building sophisticated hardware that performs in challenging environments.

Why Infrared Sensor Technology Matters

At the heart of both startups' missions is the need for Short Wave Infrared (SWIR) technology. Unlike standard cameras that rely on visible light, SWIR sensors can 'see' through haze, smoke, and low-light conditions. This capability is vital for modern applications across several high-stakes industries.

Defense Intelligence: Enhanced surveillance and reconnaissance (ISR) capabilities for field operations.
Autonomous Vehicles: Better hazard detection in poor weather for drones, robots, and automobiles.
Cost Efficiency: Nova Spectral AI aims to reduce sensor costs by up to 100 times compared to traditional indium gallium arsenide (InGaAs) technology.
Broad Market Utility: Applications range from smartphone integration to industrial robotics and wearables.

Strategic Self-Reliance

For years, the Indian defense and space sectors have been heavily dependent on imported sensors. By utilizing standard silicon CMOS-compatible manufacturing processes and lead-free colloidal quantum dots, Nova Spectral AI is attempting to bridge this gap. Their goal is to produce field-ready prototypes within 18 months, marking a significant step toward domestic manufacturing of critical imaging components.

The technology enables cameras to capture images in conditions where conventional cameras may struggle, including low light, haze and smoke. It can be used in drones, surveillance systems, robots and autonomous vehicles.
— Nova Spectral AI Press Release

As India targets a $44 billion space economy by 2033, the rise of firms like Nova Spectral AI and SpectraGaze represents a maturation of the ecosystem. Moving beyond basic software applications, these companies are tackling the complex, capital-intensive world of hardware—an essential move for any nation aspiring to be a global leader in space-tech and defense innovation.

Key Takeaways

Nova Spectral AI raised Rs 21.15 crore in seed funding led by Shastra VC.
SpectraGaze secured Rs 3.7 crore to develop indigenous infrared detectors and optical payloads.
The startups are focused on SWIR technology, which allows vision in smoke, haze, and low-light environments.
The tech utilizes standard silicon CMOS manufacturing, aiming to cut costs by up to 100x compared to traditional methods.
These advancements directly support India's mission to reduce dependence on imported defense and space sensor components.

FAQ

What is SWIR technology?

Short Wave Infrared (SWIR) technology allows cameras to capture images in conditions where conventional sensors fail, such as in smoke, haze, or extreme low-light environments.

Why is indigenous sensor development important for India?

Developing these sensors domestically reduces reliance on expensive foreign imports, strengthens defense security, and accelerates the growth of India's indigenous space and drone ecosystem.

What is the primary application for Nova Spectral AI's chips?

Their chips are designed for defense intelligence, surveillance, reconnaissance (ISR), and physical AI applications like autonomous vehicles, robotics, and drones.

What makes the manufacturing process of these sensors unique?

They use standard silicon CMOS-compatible manufacturing processes, which are significantly more affordable and scalable than traditional indium gallium arsenide (InGaAs) methods.