Reliance & Meta launch USD $100 million AI joint venture in India

Reliance and Meta have announced a joint venture aimed at developing and delivering enterprise artificial intelligence (AI) solutions for Indian organisations and select international markets.

The new venture will utilise Meta's open-source Llama models to develop an enterprise AI platform-as-a-service and a suite of pre-configured solutions tailored to both industry-wide and sector-specific requirements. According to the companies, the platform will provide a secure, full-stack environment enabling organisations to customise, deploy, and manage generative AI models across various functions, including sales, marketing, IT operations, customer service, and finance.

Reliance and Meta have jointly committed an initial investment of approximately INR 855 crore (USD $100 million) to the venture, which will be funded in a ratio of 70% by Reliance and 30% by Meta. The planned AI solutions will be made available at what the partners describe as affordable price points for enterprises and small- and medium-sized businesses (SMBs) across India.

The initiative leverages Meta's engineering expertise with the Llama models, combined with Reliance's reach within the Indian enterprise sector and its experience in product delivery. The companies stated that Llama models have already demonstrated their readiness for use in production environments, giving the joint venture a basis for deploying AI solutions at scale.

By utilising Llama's open-source approach, the joint venture will reportedly be able to offer high-performance models with a lower total cost of ownership. The venture will also provide the flexibility of deploying solutions via cloud, on-premises, or on its own infrastructure, allowing it to manage costs associated with AI deployments.

Customary regulatory approvals are pending, but completion of the transaction is expected by the end of the fourth quarter of 2025.

Leadership comments

Shri Mukesh D. Ambani, Chairman and Managing Director of Reliance Industries, said:

"Partnering with Meta brings our vision of providing AI to every Indian and enterprise to life - by combining Meta's most widely adopted open‐source Llama models with our deep expertise across multiple industries. We will democratise enterprise‐grade AI for every Indian organisation - from ambitious SMBs to blue‐chip corporates, enabling them to innovate faster, operate more efficiently, and compete confidently on the global stage. RIL will also serve as a real‐world enterprise‐scale environment for deploying and refining the joint venture's offerings - enabling rapid iteration and continuous improvement at scale."

On behalf of Meta, Mark Zuckerberg, Founder and CEO, said:

"We're excited to deepen our partnership with Reliance to bring the power of open‐source AI to Indian developers and enterprises. Through this joint venture, we're putting Meta's Llama models into real-world use, and I'm looking forward to Meta expanding its footprint in the enterprise space as we unlock new possibilities together."

Application and reach

The joint venture aims to serve not only large corporations but also India's vast sector of SMBs, with the intention of making advanced AI more accessible. The partners anticipate that ready-to-deploy vertical and sector-specific solutions will support enterprises to increase efficiency and competitiveness.

Because Meta's models are open-source, organisations can adapt the technology to their specific needs. At the same time, Reliance's existing infrastructure and network of enterprise clients provide a path for broad distribution and real-world deployment. The joint venture also provides both companies with an opportunity to refine their AI offerings based on enterprise-grade use cases and operational feedback.

Infrastructure and deployment

The flexibility of the venture's infrastructure is expected to be a key factor in widespread adoption. By offering both cloud-based and on-premises deployment options, the solutions can be tailored to meet the data security and operational needs of various industries, including finance and IT, as well as companies with specific compliance requirements.

The ambition is for the platform to support organisations engaging with AI-driven transformation, enabling faster innovation cycles and improved operational processes.