Reliance and Facebook launch ₹855 crore JV for enterprise AI

Reliance and Facebook formed REIL for enterprise AI in India, backed by ₹855 crore. Reliance holds 70% and Facebook 30%; it was incorporated on October 24, 2025.

Categorized in: AI News IT and Development
Published on: Oct 26, 2025
Reliance and Facebook launch ₹855 crore JV for enterprise AI

Reliance and Facebook set up REIL to build enterprise AI services

Reliance Intelligence Limited, a subsidiary of Reliance Industries Limited (RIL), and Meta Platform's Facebook Overseas, Inc. have formed a joint venture named Reliance Enterprise Intelligence Limited (REIL). The initial commitment is ₹855 crore to develop, market, and distribute enterprise AI services in India.

Reliance Intelligence will own 70% of REIL, with Facebook holding 30%. The entity was incorporated on October 24, 2025, in India as a wholly owned subsidiary of Reliance Intelligence, and will operate as the JV vehicle.

Structure and capital

  • Equity: Reliance Intelligence 70%, Facebook 30%.
  • Incorporation: October 24, 2025, India (as a Reliance Intelligence subsidiary to serve as the JV vehicle).
  • Capital: Reliance Intelligence has subscribed to 20,00,000 equity shares at ₹10 each (₹2 crore) as initial subscription.
  • Approvals: No governmental or regulatory approvals were required for incorporation.
  • Disclosure: The transaction is not a related party transaction; no direct or indirect interest from RIL's promoter or group companies was reported.

Why this matters for IT and development teams

This JV points to a push for production-grade AI in India's enterprise stack. Expect a focus on solutions that are deployable at scale, with compliance and distribution handled by two companies with reach and infrastructure.

  • Enterprise AI services: Likely offerings include model hosting, fine-tuning, inference APIs, MLOps tooling, and vertical solutions (support, sales enablement, analytics).
  • Messaging and social integrations: Facebook's ecosystem suggests deeper integrations for WhatsApp Business and Instagram messaging workflows-think automation, agents, and analytics for customer ops.
  • Data residency and compliance: India-first deployments may emphasize on-prem, VPC, or India-region clouds with auditability and model governance.
  • Telco + edge potential: With RIL's infrastructure footprint, watch for low-latency inference, edge deployments, and private 5G/enterprise connectivity tie-ins.
  • Procurement and distribution: Expect enterprise-friendly contracts, SLAs, and channel partnerships that shorten the path from pilot to production.

What to watch next

  • Product roadmap: Which services ship first-LLM APIs, agent frameworks, or turnkey apps?
  • Ecosystem: Partner programs, solution integrators, and a developer platform or marketplace.
  • Pricing and SLAs: Transparent pricing for inference and fine-tuning, uptime guarantees, and data handling terms.
  • Compliance posture: Certifications, audit logs, PII handling, and model-risk documentation suited for BFSI, healthcare, and public sector.
  • Hiring and R&D: Signals on model strategy (build, license, or hybrid), and location of core research vs. applied engineering.

Quick facts

  • Company: Reliance Enterprise Intelligence Limited (REIL)
  • Owners: Reliance Intelligence (70%), Facebook Overseas, Inc. (30%)
  • Investment: ₹855 crore initial commitment
  • Incorporated: October 24, 2025 (India)
  • Initial subscription: ₹2 crore (20,00,000 shares at ₹10 each)

Mukesh Ambani, Chairman and Managing Director of RIL, presides over a group with the distribution power and infrastructure to ship AI into large enterprises. Pairing that with Facebook's software reach sets the stage for practical, scalable implementations-especially where messaging, customer operations, and data compliance intersect.

For official corporate context, see Reliance Industries and Meta.

If you're planning skills and tooling around enterprise AI rollouts, you can explore curated training by vendor and role here: AI courses by leading AI companies.


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