By Anjali Sharma
WASHINGTON – Reliance Industries Limited on Saturday has announced incorporating a step-down subsidiary called Reliance Enterprise Intelligence Limited to invest in enterprise-level artificial intelligence (AI) solutions.
REIL will be a 70:30 joint venture with Facebook Worldwide Inc., which will make an initial investment of Rs 855 crore in India.
REIL will function as a subsidiary of Reliance Intelligence Limited, which is a wholly owned subsidiary of RIL, the company said in a regulatory filing to the stock exchanges.
According to the filing “In accordance with the joint venture agreement, Reliance Intelligence will hold 70% and Facebook will hold the balance of 30% in REIL,”.
“Reliance Intelligence and Facebook have jointly committed an initial investment of Rs 855 crore. Reliance Intelligence will invest an amount of Rs 2 crore towards the initial subscription of 20,00,000 equity shares of Rs 10 each,” the filing made to the stock exchange mentioned.
REIL incorporated in India as a wholly owned subsidiary of Reliance Intelligence, will become the joint venture company as per the amended and restated joint venture agreement with Facebook Overseas Inc, which is a wholly owned subsidiary of Meta Platforms Inc, the filing stated.
REIL will develop market and distribute enterprise-level artificial intelligence services.
The joint venture was first announced at RIL’s AGM in August 2025, will use Meta’s open source Llama models combined with Reliance’s enterprise reach to offer AI tools across sectors.
The partnership will focus on two main offerings, including an enterprise AI platform-as-a-service enabling organizations to customize and deploy generative AI models, as well as a suite of pre-configured solutions for sales, marketing, IT operations, customer service and finance.
Meta will provide technical expertise in building Llama-based models, while Reliance will leverage its digital infrastructure and access to thousands of Indian enterprises and small businesses.
The solutions will be deployable across cloud, on-premises and hybrid environments, with an emphasis on lowering the total cost of ownership.