Skylark Labs, a deep-tech artificial intelligence company has unveiled “Satyapan”, a secure, AI-powered maritime interrogation and intelligence platform. Satyapan has been developed under a paid prototype contract in collaboration with the Indian Navy Incubation Centre for Artificial Intelligence (INICAI) and the Indian Navy, according to an official statement.
The company claims that its newly launched platform has completed its initial validation phase and is now moving towards large-scale operational deployment across maritime units.
The global maritime security and border management market is valued at over $40–50 billion annually and is rapidly modernising as governments invest in sovereign, AI-driven infrastructure.
India protects more than 7,500 km of coastline and over 200 ports along one of the busiest maritime routes in the world. Naval units carry out thousands of vessel inspections every year. Experts believe that these inspections often generate important intelligence during real-life encounters at sea. However, much of this information has traditionally been recorded manually and stored in separate systems, limiting its wider use.
Interestingly, the company claims that Satyapan is designed to bring intelligence directly into frontline operations. It converts vessel inspections and on-the-spot questioning into structured, searchable digital intelligence in real time.
“Satyapan places sovereign, self-learning intelligence directly in the hands of field officers. By operating at the edge without internet dependency, it transforms real-world physical encounters into structured, continuously compounding intelligence – creating a unified, real-time national security network built from the frontline outward,” Amarjot Singh, Founder & CEO of Skylark Labs said.
The platform works fully on-device, even in air-gapped environments with no internet access. It can later sync data securely using encrypted satellite links. Built on Skylark Labs’ edge-native architecture, Satyapan performs adaptive risk scoring and connects data across multiple encounters.
