TDB Backs BigEndian Semiconductors with ₹130 Crore for Indigenous VeerAI Vision Chip

India has taken another step towards building domestic semiconductor capability with the Technology Development Board under the Department of Science and Technology signing an agreement with Bengaluru-based BigEndian Semiconductors for ₹130 crore in financial support.

The funding will support Project VeerAI, an indigenous AI Vision System-on-Chip designed initially for CCTV and surveillance systems and intended eventually for wider use across defence, automotive, industrial and medical applications.

The project has a total cost of ₹260 crore and aims to advance the technology from Technology Readiness Level 5 to TRL 9, taking it from advanced development through validation, integration and scale-up towards commercial deployment.

₹130 Crore Support Under India’s RDI Fund

The Technology Development Board is providing the ₹130 crore assistance through Optional Convertible Debt under the Research Development and Innovation Fund.

The financing represents half of the overall ₹260 crore project cost and is intended to support the expensive transition between an advanced prototype and a commercially deployable semiconductor product.

According to TDB, the programme will cover further technology development, validation, system integration, testing and scale-up required to bring VeerAI to TRL 9.

That transition is particularly important in semiconductors because designing a chip is only one part of the development process. A commercially viable product must also undergo extensive verification, fabrication, packaging, testing, software integration and application-level validation.

VeerAI Is Designed as a Camera-Focused AI System-on-Chip

At the centre of the project is an AI Vision System-on-Chip, or SoC, designed specifically for camera-based intelligent systems.

Instead of relying on a general-purpose processor to handle every computing task, an application-specific vision SoC integrates hardware optimised for functions such as image processing, artificial-intelligence inference, connectivity and security.

This allows intelligence to move closer to the camera itself.

For surveillance systems, an edge AI chip can potentially analyse video locally rather than transmitting all raw footage to a remote data centre. This approach can reduce network traffic and latency while supporting faster detection and response.

Project VeerAI is therefore being developed not simply as another semiconductor component but as a specialised computing platform for intelligent visual systems.

CCTV and Surveillance Are the First Target Markets

The initial application for VeerAI will be CCTV and surveillance systems.

India has a rapidly expanding installed base of cameras across cities, transport networks, commercial facilities, industrial sites and critical infrastructure. Many such systems depend on imported processors and external technology platforms.

TDB says VeerAI is intended to reduce dependence on externally developed semiconductor and technology supply chains by providing a domestically designed platform combining AI processing with security, privacy and connectivity features.

The project is being developed for the Indian market as well as countries across the Global South, where demand for affordable intelligent surveillance infrastructure continues to grow.

A Sovereign Technology Platform Is Central to the Project

The official description of VeerAI places particular emphasis on a sovereign technology platform.

In semiconductor systems used in sensitive applications, control over hardware architecture, software, security functions and supply chains can be as important as raw computing performance.

Surveillance cameras frequently operate inside critical infrastructure, government buildings, defence establishments, industrial facilities and public networks. Compromise at the chip or firmware level can therefore create risks extending well beyond an individual device.

An indigenous platform can give system designers greater control over device-level security and reduce reliance on externally controlled hardware and software ecosystems.

Security and Privacy Built Into the Vision SoC

Project VeerAI is intended to combine artificial-intelligence processing with security, privacy and connectivity capabilities.

This becomes increasingly important as cameras evolve from passive recording devices into intelligent networked sensors capable of identifying events and analysing activity in real time.

Processing more information directly on the device can also support privacy by reducing the amount of raw video that needs to leave the camera.

The effectiveness of these capabilities will ultimately depend on the final architecture and implementation, but integrating security into the semiconductor platform itself can provide stronger protection than relying entirely on application software.

Beyond Surveillance to Defence and Automotive Systems

BigEndian’s roadmap extends beyond CCTV.

The same underlying AI vision technology is envisaged for applications in defence, automotive, industrial and medical systems.

Defence platforms increasingly rely on electro-optical sensors, drones, perimeter surveillance systems and autonomous platforms that require real-time processing of imagery close to the sensor.

Automotive systems similarly use cameras for advanced driver-assistance functions, driver monitoring and machine perception.

Industrial applications include machine vision for inspection, robotics and automated manufacturing, while medical imaging and diagnostic equipment offer another potential market for specialised visual-processing silicon.

Developing a reusable semiconductor platform across these markets could give VeerAI a substantially larger commercial opportunity than surveillance alone.

Why Application-Specific Chips Matter

Project VeerAI reflects a broader shift towards application-specific semiconductors.

General-purpose chips are designed to handle a wide range of tasks. Application-specific SoCs instead concentrate hardware resources on a defined workload.

For AI vision, this can mean dedicated image-processing units, neural-network accelerators, video encoders, security modules and connectivity interfaces integrated onto the same chip.

Such integration can improve power efficiency and reduce system complexity, particularly in edge devices where electrical power, cooling and physical space are limited.

TDB says the application-specific approach should also help address defined industry requirements while accelerating technology deployment and commercialisation.

From TRL-5 to Commercial Readiness

VeerAI is currently described as being at TRL-5, meaning that key technology elements have progressed beyond early laboratory development and have been validated in a relevant environment.

The target is TRL-9, generally associated with a technology that has been proven through successful operational deployment.

Moving across those stages will require engineering far beyond the original chip design.

BigEndian will need to complete product validation, integration, testing and scale-up activities before the SoC can become a commercially sustainable platform.

The ₹130 crore TDB support is specifically aimed at helping bridge that development gap.

India Has Strong Chip-Design Talent but Needs More Products

One of the project’s wider objectives is to convert India’s large pool of semiconductor engineering talent into domestically owned products.

India already plays an important role in global semiconductor design. Major international chip companies operate large engineering centres in the country, and Indian engineers work across VLSI design, verification, embedded systems and semiconductor software.

The challenge has been converting that engineering capability into Indian-owned intellectual property and commercial semiconductor products.

Project VeerAI attempts to address this gap by using domestic VLSI capability to create a scalable indigenous chip platform rather than providing engineering services for an overseas product.

BigEndian Is Part of India’s Emerging Fabless Semiconductor Ecosystem

BigEndian Semiconductors is headquartered in Bengaluru and operates within India’s emerging fabless semiconductor ecosystem.

A fabless company designs semiconductors but does not necessarily own the highly capital-intensive fabrication plant that physically manufactures them.

This business model is widely used across the global semiconductor industry and allows specialist companies to concentrate on architecture, intellectual property, chip design, firmware and application development while contracting fabrication to external foundries.

For India, growth in indigenous fabless companies can complement investments being made in semiconductor fabrication, packaging and testing.

RDI Funding Addresses the Semiconductor Commercialisation Gap

Semiconductor development requires unusually high upfront investment.

Costs arise well before meaningful commercial revenue appears, including engineering salaries, electronic-design-automation tools, intellectual property licences, fabrication runs, packaging, testing and certification.

A design error discovered after fabrication can require another costly production cycle.

This makes the transition from prototype to commercial semiconductor particularly difficult for startups.

TDB Secretary Rajesh Kumar Pathak said the RDI Fund is intended to provide sustained support for technologies requiring significant investment to move from advanced development into commercial deployment.

The BigEndian agreement reflects that objective by directing long-duration financing towards a strategic semiconductor product rather than an early research prototype.

Connected Devices Are Raising the Strategic Importance of Chips

The importance of projects such as VeerAI extends beyond semiconductor manufacturing itself.

Cameras, vehicles, industrial machinery, medical equipment and defence systems increasingly depend on embedded intelligence. The semiconductor inside these devices determines how data is processed, where it is stored and what security protections are available.

As more critical infrastructure becomes connected, semiconductor supply chains increasingly intersect with cybersecurity and national technology policy.

Domestic control over selected chip architectures can therefore complement India’s broader efforts in electronics manufacturing, data security and digital infrastructure.

VeerAI Could Connect India’s Design Strength with Product Ownership

India’s semiconductor strategy encompasses fabrication plants, advanced packaging, design incentives, electronics manufacturing and research.

VeerAI addresses a different part of that ecosystem: Indian ownership of specialised semiconductor products and intellectual property.

A successful transition from TRL-5 to TRL-9 would demonstrate that an Indian fabless company can move beyond chip design into validated, scalable silicon intended for real-world commercial systems.

The ₹130 crore TDB agreement therefore represents more than financing for one surveillance chip. It supports an attempt to turn India’s established semiconductor engineering base into a domestically controlled AI hardware platform with applications across several strategic sectors.

With VeerAI moving towards commercial readiness, BigEndian Semiconductors could help strengthen the layer of indigenous chip companies needed to connect India’s expanding semiconductor infrastructure with products designed for Indian and global requirements.

References

Press Information Bureau, Department of Science & Technology — TDB-DST signs agreement with BigEndian Semiconductors for ₹130 crore RDI support to develop indigenous AI Vision SoC, October 5, 2026.

Technology Development Board, Department of Science & Technology, Government of India — Official information on technology commercialisation and RDI financing.

Department of Science & Technology, Government of India — Research Development and Innovation Fund.