Top 10 Made-in-India AI Products Shown at AI Impact Expo 2026

· Source: Analytics Vidhya · Field: Technology & Digital — Artificial Intelligence & Machine Learning, Robotics & Autonomous Systems, Cybersecurity & Data Privacy · Depth: Novice, long

Summary

The AI Impact Expo 2026, held in Delhi from February 16 to 20, showcased India's advancements in Artificial Intelligence, featuring products and solutions from over 27 countries and 300 exhibitors. Guided by "People, Planet, and Progress" principles, the event highlighted numerous "Made-in-India" AI innovations. Key exhibits included Sarvam AI's 30B and 105B parameter large language models designed for sovereign deployment and multilingual Indian contexts, Gnani.ai's Vachana TTS for voice cloning across 12 Indian languages, and Miko's AI-powered educational robots. Other notable products were Addverb's wheeled humanoid robot Elixis-W for industrial automation, Wadhwani AI's early TB detection system, Alphadroid's CarryMate logistics robot, Airtel's network-based spam and fraud detection, Stellarview's Recon edge GenAI traffic camera, Mankomb's Chewie wet waste management appliance, and Sarvam Kaze, India's first AI-powered smart glasses.

Key takeaway

For CTOs and AI Architects evaluating global AI solutions, recognize India's emerging role as a creator of practical, diverse AI products. Consider integrating "Made-in-India" LLMs for sovereign data needs or specialized AI hardware like smart glasses and industrial robots into your strategic planning, as these offer tailored solutions for specific operational challenges and local contexts.

Key insights

India is transitioning from an AI consumer to a significant creator of diverse, impactful AI solutions.

Principles

Method

The AI Impact Expo 2026 brought together AI players and policymakers to foster connections and discussions on AI's future, use, and impact on human lives, showcasing a range of "Made-in-India" products.

In practice

Topics

Best for: CTO, VP of Engineering/Data, AI Architect, AI Product Manager, AI Engineer, Director of AI/ML

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Editorial summary, takeaway, and curation by AIssential. Original article published by Analytics Vidhya.