BharatGPT vs Elyza

Neither company has publicly disclosed a valuation, making a definitive size comparison difficult. BharatGPT employs 50-200 people, while Elyza has 1-50 employees.

BharatGPT has raised more in total funding at $50M, compared to Elyza's $30M — a gap of $20M.

BharatGPT holds the higher Awaira Score at 55/100, compared to Elyza's 45/100. The Awaira Score is a composite metric factoring in valuation, funding, stage, team size, and market presence — a 10-point gap that reflects meaningful differences in scale or traction.

BharatGPT was founded by Hemant Darbari in 2023. Elyza was founded by Tetsuya Yamada in 2019. Visit each company's profile on Awaira for a full founder biography.

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. Elyza: Elyza developed Japanese large language models and enterprise AI applications, building on top of open-source models including Llama to create fine-tuned Japanese language variants with high Japanese language quality, and offering enterprise AI services using its Japanese LLM capabilities for customer service, document processing, and content generation applications. The Tokyo company focused on the specific characteristics of Japanese language including script mixing, honorific speech levels, and domain-specific vocabulary.\n\nThe company raised approximately $30 million in venture funding before being acquired by KDDI, the Japanese telecommunications operator, in 2024. The acquisition gave KDDI an in-house Japanese AI capability to deploy across its telecommunications services and enterprise AI offerings for KDDI business customers, as Japanese telecoms operators compete to add AI features to their enterprise service portfolios.\n\nElyza operated in the Japanese LLM market alongside CyberAgent AI Lab, NTT AI research, and the open-source Japanese AI community centred around the National Institute of Informatics. The acquisition by KDDI reflects the pattern of large Japanese corporations acquiring AI startups to accelerate internal AI capability development rather than building Japanese-language AI expertise from scratch. Japanese LLM development requires significant training data in Japanese and expertise in Japanese language evaluation that international foundation model providers building Japanese language versions of their models must develop separately.

Elyza was founded first in 2019, giving it 4 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.

BharatGPT has approximately 50-200 employees, while Elyza has approximately 1-50. A larger team often signals higher revenue or venture backing, but in AI, smaller teams are increasingly capable of building at scale.

Yes, BharatGPT and Elyza 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.