Digantara Unveils Five-Node MOSAIC Network to Track Objects in Orbit

Bengaluru-based Digantara has unveiled MOSAIC, an AI-powered optical sensor network for continuous tracking of objects in Low Earth Orbit. The company said the initial deployment has five nodes operating as one coordinated surveillance network.

Digantara said MOSAIC will reduce India’s reliance on foreign commercial providers for time-critical orbital tracking. The network combines electro-optical sensors, onboard processing and AI-based detection to identify and track Resident Space Objects.

It has positioned MOSAIC against the growing need for sovereign space surveillance capabilities. It said the system builds on India’s push for self-reliance in strategically critical technologies.

Anirudh Sharma, Founder and CEO of Digantara, said the company wants to build resilient infrastructure through distributed systems.

“Every big infrastructure problem eventually stops being about having one perfect system and starts being about having many resilient ones,” Sharma said.

He said Digantara began by asking what exists in orbit and is now focused on what operators need to know about it. The company aims to deploy more sensors globally and maintain independent orbital catalogues.

The launch also follows lessons from Operation Sindoor, according to Digantara. India used domestic satellite assets alongside commercial imagery during the operation, the company said.

Digantara said MOSAIC addresses the need for continuous access to orbital data without relying solely on foreign-owned sensors. The system is designed to provide wide-area detection and custody of objects across orbital regimes.

Each MOSAIC node combines an Optical Head Unit with an Electronics Head Unit. The optical unit handles sky imaging, while the electronics unit manages processing, timing, communications and autonomy.

The nodes operate on solar power with battery backup. Digantara said it designed them to operate across environments ranging from the Thar desert to the Himalayas.

The system combines sensor sensitivity with a wide field of view to detect faint objects across large sections of the sky. Its AI and machine learning system identifies stars and Resident Space Objects, including faint targets.

MOSAIC then uses a Lost-in-Space attitude estimation approach to determine an object’s position. The approach requires no prior information or cueing.

Digantara also plans to extend MOSAIC to alternative navigation applications. The company specifically cited celestial navigation in GPS-denied environments.

MOSAIC extends Digantara’s existing Space Domain Awareness infrastructure. That infrastructure combines space-based tracking, data fusion and an in-house processing engine.

The company said MOSAIC will provide the wide-area detection and custody layer for this infrastructure. Digantara aims to detect, characterise and track objects from LEO through Geostationary Earth Orbit.