Maya Data Privacy at the India AI Impact Summit 2026: Representing Privacy on a Global Stage

Ben Ramhofer
3 days ago
2 min read

February 16 to 20, 2026. Bharat Mandapam, New Delhi. The first major international AI summit hosted in the Global South.

The India AI Impact Summit 2026, organized by India's Ministry of Electronics and Information Technology (MeitY), brought together over 100 countries, more than 20 heads of state, and senior leaders from the world's most influential technology companies. The event drew hundreds of thousands of visitors, making it one of the largest AI gatherings ever held.

We were there.

Our team set up at Hall 6, Pod 6P39, where Ravish Mani and Divyansh Sahu welcomed visitors, answered questions, and demonstrated what Maya Data Privacy stands for: the idea that serious AI adoption and serious data protection are not in conflict. They work together, or they don't work at all.

A Summit That Set the Tone for Global AI

The caliber of speakers reflected the significance of the event. Sundar Pichai (Google), Sam Altman (OpenAI), Dario Amodei (Anthropic), Demis Hassabis (Google DeepMind), and Mukesh Ambani (Reliance) all took the stage. French President Emmanuel Macron and Indian Prime Minister Narendra Modi addressed the plenary, with Modi emphasizing the need for "inclusive technology for everyone."

The recurring theme across keynotes was clear: AI is scaling fast, but trust, stewardship, and responsible data handling are the scarce resources that will determine its success. That message sits at the core of everything we build.

What We Demonstrated

At our pod, we showed how organizations can use production-like data for AI development without exposing personal information. Enterprises sit on vast reserves of valuable data, but regulatory obligations under DPDPA, GDPR, the EU AI Act, and emerging frameworks globally prevent them from using it freely.

Maya solves that. Our anonymization technology removes personally identifiable information from enterprise data while preserving its utility and referential integrity, making it genuinely useful for AI training, testing, and analytics.

Why It Matters

By placing India at the center of a global AI dialogue, this summit acknowledged something important: the next wave of AI deployment will happen across the Global South, and the frameworks built now will shape how billions of people experience AI for decades. Privacy-first data strategies are not optional in that future. They are foundational.