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BigEndian Semiconductors Gets ₹260 Cr Via Govt's RDI Fund, To Build Indigenous AI Vision SoC

India backs Project VeerAI with ₹130 crore to develop indigenous AI Vision SoC, advancing secure chips from TRL‑5 to TRL‑9 for critical sectors.
BigEndian Semiconductors Gets ₹260 Cr Via Govt's RDI Fund, To Build Indigenous AI Vision SoC
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BigEndian Semiconductors has secured ₹130 crore in government support to develop an indigenous AI Vision System-on-Chip (SoC) under Project VeerAI, marking a major milestone in India’s semiconductor self-reliance drive. The initiative will advance the chip from Technology Readiness Level (TRL)-5 to TRL-9, targeting secure surveillance and broader critical applications.

The Project VeerAI, spearheaded by BigEndian Semiconductors, Bengaluru, has secured the funds through the Research Development and Innovation (RDI) Fund of Technology Development Board (TDB) under the Department of Science & Technology (DST). with a total project cost of ₹260 crore. Notably, the ₹130 crore support is via Optional Convertible Debt (OCD).

India’s Push for Indigenous AI Semiconductors: Project VeerAI

Key Highlights

  • Funding Structure: ₹130 crore support via Optional Convertible Debt (OCD).
  • Technology Leap: Advancing from TRL-5 to TRL-9, ensuring readiness for commercial deployment.
  • Core Focus: Development of a camera-focused AI Vision System-on-Chip (SoC) on a sovereign technology platform.
  • Strategic Goal: Reduce reliance on foreign semiconductor supply chains by building secure, application-specific chips.

Applications & Market Potential

  • Defence: Secure chips for mission-critical intelligence systems.
  • Automotive: Smart vision systems for autonomous and assisted driving.
  • Industrial: Device-level intelligence for connected factories.
  • Medical: Privacy-focused AI chips for diagnostic imaging and monitoring.

Strategic Importance

Project VeerAI underscores India’s ambition to achieve technology sovereignty in semiconductors. By focusing on application-specific SoCs rather than general-purpose chips, the initiative aims to:

  • Address specific industry requirements with tailored solutions.
  • Enable faster deployment and commercialization.
  • Leverage India’s VLSI design talent to translate domestic expertise into scalable products.

The Road Ahead

  • Validation & Integration of the AI Vision SoC.
  • Testing & Scale-up activities to achieve TRL-9.
  • Commercial Readiness for deployment across India and the Global South.

Conclusion

Project VeerAI is more than just a semiconductor initiative—it is a strategic leap toward self-reliance in AI-enabled chip technology. By combining security, privacy, and connectivity with advanced AI processing, India is positioning itself as a global player in the next wave of semiconductor innovation.


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