Kakao Brain vs BharatGPT

Neither company has publicly disclosed a valuation, making a definitive size comparison difficult. Kakao Brain employs 100-500 people, while BharatGPT has 50-200 employees.

Kakao Brain has raised more in total funding at $100M, compared to BharatGPT's $50M — a gap of $50M.

Kakao Brain holds the higher Awaira Score at 58/100, compared to BharatGPT's 55/100. The Awaira Score is a composite metric factoring in valuation, funding, stage, team size, and market presence — a 3-point gap that reflects meaningful differences in scale or traction.

Kakao Brain was founded by Kim Il-doo in 2017. BharatGPT was founded by Hemant Darbari in 2023. Visit each company's profile on Awaira for a full founder biography.

Kakao Brain: Kakao Brain is the AI research and foundation model division of Kakao Corp, the dominant Korean internet and messaging platform company, developing large language models including KoGPT for Korean language, the Karlo text-to-image generation model, and AI infrastructure for deploying AI capabilities across the Kakao platform ecosystem spanning KakaoTalk messaging, KakaoPay, and Kakao Mobility. The Seongnam company operates as a corporate AI research unit with internal funding from Kakao Corp.\n\nFunded internally through Kakao Corp with estimated investment exceeding $100 million across research infrastructure, compute, and personnel, Kakao Brain develops AI capabilities that are deployed to the KakaoTalk base of over 50 million monthly active users in Korea and across Kakao enterprise and government client deployments. The unit has released open-weight Korean language models through the Hugging Face platform, contributing to the Korean open-source AI ecosystem.\n\nKakao Brain competes in Korean AI research and model deployment with Naver AI, Samsung AI, and LG AI Research, as well as international AI labs whose models must be adapted for Korean language performance. Its integration with KakaoTalk provides a unique distribution mechanism for consumer AI features, as KakaoTalk functions as South Korea primary social communication platform and an essential interface for daily life services from banking to government. The corporate research structure gives Kakao Brain resources and stability but limits the commercial independence and equity-based talent attraction that independent foundation model startups use to recruit researchers. BharatGPT: BharatGPT is a multilingual foundation model project built specifically for Indian languages, developed in partnership with IIT Bombay and backed by Reliance Jio. The model is trained on a large corpus of Hindi, Marathi, Gujarati, and other Indic language data, with the goal of making large language model capabilities accessible to India's 1.4 billion citizens in their native tongues.\n\nThe initiative has received approximately $50M in funding and operates under the Hanooman model family, with multiple model sizes targeting mobile and edge deployment. Early deployments span healthcare information access, government services, and vernacular content generation.\n\nAs global AI development remains English-dominated, BharatGPT represents a strategic national-level bet on Indic AI sovereignty. With Jio's distribution infrastructure and IIT Bombay's research depth, the project has a credible path to embedding AI into the daily digital lives of hundreds of millions of Indian users who are not served by English-first models.

Kakao Brain was founded first in 2017, giving it 6 years of additional market experience. BharatGPT was founded later in 2023. In AI, even a year or two of head start can translate into significantly more training data, customer relationships, and institutional knowledge.

Kakao Brain has approximately 100-500 employees, while BharatGPT has approximately 50-200. A larger team often signals higher revenue or venture backing, but in AI, smaller teams are increasingly capable of building at scale.

Yes, Kakao Brain and BharatGPT are direct competitors — both operate in the Foundation Models space and likely target overlapping customer segments. This comparison is especially relevant for buyers evaluating both platforms.