AI India Expo 2027

AI India Expo 2027 Karnataka

Trade India

Generative AI & Enterprise LLMs

Computer Vision & Edge AI Hardware

Data Infrastructure & Machine Learning Operations (MLOps)
Industry-Specific AI Applications

INDIA’S PREMIER B2B EXPOSITION & ENTERPRISE ARTIFICIAL INTELLIGENCE TRADE SHOW ARRIVES IN BENGALURU!

Organized by leading technology exhibition producers, the 2027 edition of the AI India Expo brings together over 200+ enterprise AI solution providers, generative AI startups, machine learning framework developers, robotics engineers, and data infrastructure leaders across Silicon Valley of India and global tech hubs!

Hosted inside the expansive trade hall at the KTPO Trade Centre in Whitefield, Bengaluru, Karnataka, India—the heart of India’s technology and software ecosystem—this high-impact 3-day international B2B expo serves as the central deployment platform for next-generation artificial intelligence. The event connects Large Language Model (LLM) platforms, computer vision hardware, enterprise AI SaaS, automated data pipelines, and AI chip architecture directly with Chief Technology Officers, IT directors, data science heads, and venture capital investors!

📅 Dates: Monday, January 11 – Wednesday, January 13, 2027

⏰ Hours:

• Monday, Jan 11: 10:00 AM – 6:00 PM

• Tuesday, Jan 12: 10:00 AM – 6:00 PM

• Wednesday, Jan 13: 10:00 AM – 4:00 PM

📍 Venue: KTPO Trade Centre, EPIP Zone, Whitefield, Bengaluru, Karnataka 560066, India

🎯 Target Audience: Chief Technology Officers (CTOs), Enterprise Architects, Chief Data Officers (CDOs), AI/ML Developers, Software Product Managers, IT Procurement Heads, Venture Capitalists, and Tech Entrepreneurs across Bengaluru, Hyderabad, Pune, NCR, and Global Tech Clusters.

✨ Key Exhibition Sectors & Core Artificial Intelligence Domains:

🧠 Generative AI & Enterprise LLMs: Custom fine-tuned LLMs, natural language processing (NLP), conversational AI agents, intelligent document processing, and AI code automation.

👁️ Computer Vision & Edge AI Hardware: Edge computing processors, autonomous vision systems, industrial AI inspection, biometric security solutions, and robotics integration.

📊 Data Infrastructure & Machine Learning Operations (MLOps): High-performance cloud computing, automated data labeling, MLOps orchestration platforms, and AI data security.

💼 Industry-Specific AI Applications: AI solutions tailored for FinTech fraud detection, Healthcare diagnostic imaging, Retail personalization, Smart Manufacturing, and Supply Chain optimization.

🤝 Live Tech Demonstrations, Founder Pitches & Keynote Tech Summits: Evaluate live enterprise AI software demos, attend strategic keynotes on Responsible AI governance and GenAI integration, pitch to leading global VC firms, and build high-value technology integration partnerships!

Accelerate your digital transformation, evaluate frontier AI technologies live, and connect with India’s top artificial intelligence pioneers at the KTPO Trade Centre!

#AIIndiaExpo #AIIndia2027 #KTPO #KTPOBengaluru #Whitefield #Bengaluru #BangaloreTech #ArtificialIntelligence #GenerativeAI #MachineLearning #EnterpriseAI #EdgeAI #MLOps #TechExpoIndia #B2BIndustrialExpo

 

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Event Detail

January 11, 2027 10:00 AM
January 13, 2027 6:00 AM
TPO Trade Centre, EPIP Zone, Whitefield, Bengaluru, Karnataka 560066, India

Event Organizer

Indian Institute of Artificial Intelligence (IIAI)
admission@iiai.global
The Indian Institute of Artificial Intelligence (IIAI) is an educational organization dedicated to bridging the gap between theoretical computing and industry-aligned practices by offering specialized training, certification, and research opportunities in emerging technologies. Focused on creating an AI-ready workforce, the institute blends a strong academic curriculum—encompassing core tracks such as Machine Learning, Deep Learning, Data Science, and Generative AI—with hands-on project exposure and advanced lab infrastructure. Through its specialized training divisions and collaborative networks, IIAI actively empowers students, working professionals, and future tech-entrepreneurs to effectively design, deploy, and scale intelligent systems that solve real-world problems