Deloitte to Launch India-Developed AI Platform
Deloitte is preparing to unveil an enterprise AI platform developed entirely in India that is designed for global scale and speed. The move highlights the maturation of India's tech ecosystem as a source of globally relevant platforms for industries like logistics and retail. The announcement comes as Hyderabad hosts the GTM Unbound AI summit, which drew over 200 AI founders and investors to the city.
- The platform, named GenW.AI, is an open-source, Java-based low-code suite that can be deployed either on-premises or on a private cloud, allowing enterprises to maintain full control over their proprietary data and intellectual property. - Its capabilities include specific tools like "GenW Agent Builder" for creating complex agentic AI workflows and "GenW RealmAI," a secure environment for interacting with large language models that features Retrieval-Augmented Generation (RAG) capabilities. - The system is designed for integration with existing enterprise systems, including databases, APIs, and ERPs, through pre-built connectors and supports a wide range of both open-source and proprietary LLMs. - Before the external launch, Deloitte deployed and refined GenW.AI through internal use; the firm has already trained 30,000 of its employees in India, including 450 practice heads, on the platform's rollout and application. - Deloitte is positioning the platform as a cost-effective alternative, stating it will be offered at half the price of competing solutions. The company developed the platform internally at a cost that was 0.35% of the projected ₹130 crore ($15.6M USD) annual fee for a comparable third-party enterprise license. - The launch aligns with a broader push by the Telangana government to establish an "AI City" on a 200-acre campus near Hyderabad, creating a dedicated hub for global tech firms and local talent to collaborate on AI development. - The platform is entering a rapidly growing market for AI in Indian logistics, which is projected to expand at a 31.66% CAGR to reach $6.8 billion by 2032 as companies increasingly adopt AI for route optimization and demand forecasting.
