Current AI builds a public alternative to Big Tech’s AI, starting with 22 Indian languages
A new nonprofit, Current AI, is developing an open, public AI infrastructure designed to be a free alternative to dominant Big Tech AI systems. Modeled after the early World Wide Web, this initiative aims to address the exclusion of various languages and cultures from current AI models. Founded in February 2025 by Martin Tisne, the organization has already secured significant funding, totaling $400 million. Their initial focus is on supporting 22 Indian languages, marking a crucial step towards more inclusive AI development. This effort seeks to democratize access to advanced AI technologies for communities often overlooked by major industry players.
Current AI’s initiative to build an open, public AI infrastructure, starting with 22 Indian languages, carries significant implications for Asia’s tech ecosystem. By focusing on linguistic diversity, the project directly addresses a critical gap in current AI development, which has largely prioritized English and other major global languages. This move could empower local developers, startups, and researchers in India and potentially other Asian countries to innovate with AI in their native tongues, fostering a more equitable and culturally relevant digital landscape. It challenges the prevailing dominance of Western-centric AI models and promotes the development of AI that is truly global in its applicability and understanding.
Furthermore, the nonprofit model and substantial initial funding suggest a serious effort to create a sustainable alternative to proprietary AI systems. This could lead to a more competitive and diverse AI market in Asia, reducing reliance on a few large technology companies. For startups, access to open-source, linguistically diverse AI tools could lower barriers to entry and accelerate the creation of localized solutions across various sectors, from education to healthcare. The emphasis on public infrastructure also aligns with broader trends in digital sovereignty and the desire for greater control over technological development within national borders, making it a pivotal development for regional tech policy and innovation strategies.
