Xovian Raises $2.5M to Build India’s First AI-Native RF Satellites

AI-native RF satellite developed by Xovian Aerospace orbiting Earth with signal beams.

Introduction: A New Chapter for India’s Space-Tech Startups

In a significant development for India’s space-tech ecosystem, Xovian Aerospace, a Bengaluru-based startup, has raised $2.5 million in a pre-seed funding round. The capital will support the development of AI-native radio frequency (RF) satellites, a pioneering effort that aims to reshape the satellite intelligence and defense communication landscape in India and beyond.

The funding round was led by deep-tech venture capital firm Antler India, with participation from Java Capital, DeVC, and a consortium of prominent angel investors. This early capital infusion sets the stage for Xovian to transition from concept to space deployment, targeting real-time defense communication, telecommunications, and disaster management.


About Xovian Aerospace: An Indigenous Vision

Founded by Prateep Basu and Sachin Pandey, Xovian aims to offer made-in-India space-grade solutions that are at par with global standards. The startup’s key innovation lies in developing micro-satellites equipped with artificial intelligence at the hardware level, allowing for on-orbit real-time signal analysis, a crucial capability in modern electronic warfare and spectrum intelligence.

Unlike conventional satellite systems, which often rely on earth-based processing and control, Xovian’s satellites will operate independently with onboard AI, making them significantly faster and more efficient in both threat detection and spectrum mapping.


What Makes AI-Native RF Satellites Revolutionary?

Xovian’s AI-native satellites combine edge AI computing with radio frequency (RF) intelligence, giving them the capability to autonomously interpret and analyze signal patterns without human intervention. This has several real-world applications:

  • Military Intelligence: Real-time signal intercepts for surveillance, jamming, and electronic countermeasures.
  • Telecommunications: Enhanced spectrum monitoring and network optimization across rural and underserved areas.
  • Disaster Response: Autonomous signal detection from affected zones for better coordination of relief efforts.

Prateep Basu, CEO of Xovian, explains:

“We’re not just building another small satellite. We’re building a brain in orbit—an AI-native satellite that learns, adapts, and reacts in real time.”


A Look at the Technology Stack

The company plans to launch a constellation of micro-satellites weighing under 50 kg, equipped with:

  • Software-defined radios (SDRs) for dynamic frequency scanning
  • AI processors optimized for on-board machine learning inference
  • Radiation-hardened chipsets
  • Secure communication protocols for military-grade encryption

These systems are designed to detect, interpret, and respond to electromagnetic signals autonomously, reducing latency and dependence on ground control infrastructure.


Strategic Importance: Defense, Space, and National Security

With growing geopolitical tensions and the increasing need for real-time, secure, and autonomous surveillance infrastructure, India is prioritizing space-based defense technologies. Xovian’s product comes at a time when the Indian Defense Ministry and ISRO are actively scouting for home-grown intelligence capabilities.

India currently relies heavily on foreign satellite data and commercial providers, which poses strategic vulnerabilities. Xovian’s solution aims to fill that gap.

Ravi Narayan, General Partner at Antler India, commented:

“Xovian represents the convergence of three frontier technologies—AI, RF, and aerospace. This isn’t just a moonshot; it’s a strategic national imperative.”


Investor Confidence in Deep-Tech Moonshots

Antler India, Java Capital, and other backers see Xovian as a bellwether of a new generation of Indian startups that combine deep scientific research with commercial scalability. This round of funding, although labeled “pre-seed,” comes with substantial capital—testament to investor confidence in the long-term vision and defensible IP being built by the team.

The startup plans to use the funding for:

  • R&D and prototyping of the AI-native payload
  • Hiring aerospace and AI experts
  • Building ground-based testing infrastructure
  • Preparation for its first test launch in 2026

Challenges Ahead: Regulations, Space Debris, and Tech Validation

While the vision is bold, Xovian faces several hurdles before hitting orbit:

  • Regulatory approvals from IN-SPACe and ISRO
  • Spectrum licensing for RF communications
  • Validation of onboard AI systems in extreme space environments
  • Space debris mitigation to align with global sustainability norms

The founders acknowledge the challenges but remain optimistic. “Space tech isn’t just about ambition; it’s about responsibility. We’re building with that in mind,” says co-founder Sachin Pandey.


India’s Expanding Private Space Economy

The announcement of Xovian’s funding comes amid a surge in space-tech startups in India, driven by the liberalization of the space sector and global interest in low-Earth orbit (LEO) infrastructure.

Notably:

  • Skyroot Aerospace and Agnikul Cosmos are advancing private rocket launch capabilities.
  • Pixxel and SatSure are leveraging satellite imagery for earth observation.
  • Now, Xovian is carving out a niche in RF and AI-native satellite intelligence.

Industry observers say India’s space economy could grow to $100 billion by 2040, and startups like Xovian are critical to hitting that target.


What’s Next for Xovian?

With its pre-seed round closed, the startup has outlined an aggressive roadmap:

  • Complete AI payload prototype by Q1 2026
  • Ground-based testing of SDR systems in Q2 2026
  • Partnership with a small-lift launch provider (possibly ISRO’s SSLV or a private operator)
  • Target launch of first satellite by late 2026
  • Expansion to a constellation of 6–8 satellites by 2028

In parallel, Xovian is reportedly in early talks with defense agencies and telecom players for pilot deployments and data-as-a-service (DaaS) models.

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