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bbsAI

Reliable AI for India's languages — translation, OCR, and intelligent process automation.

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About bbsAI

bbsAI (Bharat Bhasha Sanganan Technology) is solving one of India's most persistent digital divides: the near-complete absence of reliable AI tools in Indian languages. While global AI platforms are trained on vast English datasets, India's 22 scheduled languages and hundreds of dialects remain largely underserved, creating a barrier for millions of businesses, citizens, and government institutions that operate primarily in non-English languages. Founded in 2023 by Ganesh Arnaal and IIT Bombay professor Ganesh Ramakrishnan, bbsAI commercialises over a decade of language AI research developed at IIT Bombay. The company's core technology is the Udaan Translation Engine, co-invented by Arnaal and Ramakrishnan, which uses probabilistic models reinforced with technical dictionaries to deliver accurate, hallucination-resistant translations in scientific and technical domains, a level of precision that general-purpose tools like Google Translate or DeepL cannot match for Indic content. The product suite includes ABAACUS for intelligent process automation in multilingual environments, bbsHindiOffice for Hindi-language enterprise workflows, and machine translation and OCR services for digitising and processing documents across Indian languages. The platform is built on small language models rather than large ones, a deliberate choice that prioritises reliability and explainability over scale, and addresses the real-world scarcity of high-quality Indic training data. bbsAI's current focus is on insurance and government sectors, where the need to communicate accurately in regional languages is both legally mandated and operationally critical. India's GenAI market is projected to reach $17 billion by 2027, and bbsAI is positioning itself as foundational infrastructure for any enterprise that needs to serve Bharat, not just urban English-speaking India.
Launch date
June 1, 2026
Funding
Nasscom GenAI Foundry Cohort 3

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