Quarkitech shrinks sensor data before transmission using quantum-inspired algorithms

How the technology works

Quarkitech’s software applies mathematical frameworks from quantum many-body physics, a field that studies systems of interacting particles, to compress sensor data. The company reports achieving compression ratios of 10 to 100 times, depending on the sensor type.

In a laboratory test using drone-captured imagery, Quarkitech reduced data volume by 26 times while preserving 98% of what it classified as mission-critical information. The classification method and results are the company’s own and have not been independently verified.

Target applications and challenges

The startup is targeting platforms where data transmission is a bottleneck, including drones, satellites, radar, and LiDAR systems. These applications often generate data faster than it can be transmitted or stored, creating delays or forcing operators to discard valuable information.

While laboratory results are promising, the company acknowledges that real-world testing is necessary to determine whether the technology performs under operational conditions such as heat, vibration, limited power, and intermittent connectivity.

Funding and next steps

Quarkitech raised ₹2 crore in pre-seed funding in August 2026 from Artha Access and Finvolve. It also secured a ₹1.5 crore non-dilutive grant under the National Quantum Mission, a government program covering quantum technologies.

The combined funding will support the development of its core compression library, hiring engineers, and testing the technology outside the laboratory. No customer, contract, or revenue details have been disclosed.

Founders and origins

The company was founded in January 2025 and is based at the IIT Madras Research Park in Chennai. Its founders include Rajesh Narayanan, Sanyam Parashar (CEO), and Shashikant Singh Kunwar. Vishnu P.K. is a founding member leading quantum algorithms work.

Quarkitech describes its broader focus as simulation and algorithmic solvers for large-scale optimization problems, applicable to finance, scientific computing, and sensing.

What this means

Lazyfounder analysis — our interpretation, not reported fact.

Quarkitech’s approach to sensor data compression is a reminder that hardware limitations in industries like drones and satellites aren’t just about processing power—they’re often about bandwidth and storage. For founders in these sectors, the idea of compressing data at the source without adding new hardware could be a game-changer, but the proof will lie in real-world performance. The National Quantum Mission grant also suggests that quantum-inspired technologies are gaining traction in India, which could open doors for startups working on similar problems. However, the lack of public customer or revenue figures means this is still an early-stage bet, and operators should watch for field-test results before assuming the technology is ready for deployment.

Key takeaways

• Startups in sensor-heavy sectors like drones, satellites, and LiDAR may face data transmission bottlenecks that compression technologies like Quarkitech’s could address.
• The ability to compress data at the source without specialized hardware could lower operational costs and simplify adoption for existing platforms.
• The National Quantum Mission grant signals government support for quantum-inspired technologies, which may create opportunities for startups in this space.
• Laboratory results are promising, but real-world testing will determine whether the technology can perform under operational conditions like heat, vibration, and limited power.