Funding · AI & Deep Tech

Quarkitech raises ₹2 crore pre-seed

By Startup Enthusiast · 12 August 2026

What they do

Quarkitech develops quantum-inspired algorithms and sensor data compression for large-scale optimisation

It raised ₹2 crore pre-seed from Artha Access and Finvolve, plus a ₹1.5 crore grant

The grant comes from IITM-CDOT Samgnya Technologies Foundation under India's National Quantum Mission

Quarkitech raised ₹2 crore in a pre-seed round from Artha Access and Finvolve.
The company also received a ₹1.5 crore grant from IITM-CDOT Samgnya Technologies Foundation.
The grant is part of India's National Quantum Mission, a government programme approved in 2023.
Quarkitech develops quantum-inspired algorithms and a sensor data compression library.
The compression reduces data 10 to 100 times depending on sensor type, keeping mission-critical info.
It targets platforms like UAVs, satellites, and radar/LiDAR systems.
The company is based at IIT Madras Research Park in Chennai.

The funding and grant together signal early validation of Quarkitech's technology.
The grant ties the startup to a national quantum initiative, boosting credibility.
Investors are betting on quantum-inspired algorithms that work on today's hardware.
The lab test showed 26X data reduction with 98% information retention, a key proof point.

Quarkitech builds simulation and quantum-inspired solvers for combinatorial optimisation.
Its core product is a compression algorithm library that reduces sensor data at the source.
The technology is hardware-agnostic, running on existing CPUs and GPUs.
It serves applications in finance, deep science, and mission-critical systems.
Sensor types include radar, LiDAR, hyperspectral, and electro-optical.
Target platforms are UAVs, surveillance, satellite earth-observation, and ground systems.
The approach uses tensor networks from quantum many-body physics to remove data redundancy.

Validate the technology under real-world conditions like moving platforms, heat, and limited power.
Hold discussions with private defence and space operators for pilot deployments.
Integrate with platform manufacturers, operators, and research institutions over the coming year.

Artha Access (lead) — Pre-seed programme under Artha Venture Fund II, co-invests with academic incubators.
Finvolve (participated) — Co-investor; co-founder Ashish Bhatia commented on quantum-inspired algorithms.

Product: Quantum-inspired simulation tools and algorithms that compress sensor data from radar, LiDAR and hyperspectral sensors by 10-100x
Customers: Defense, space and mission-critical applications requiring efficient sensor data processing
How it makes money: B2B deep tech solutions for government and defense sectors
What sets it apart: Quantum-inspired compression algorithms that reduce data volume at source while retaining application-critical information