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Soket Labs & ZenteiQ Launch Indigenous AI Models

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Soket Labs & ZenteiQ Launch Indigenous AI Models

Homegrown AI startups Soket Labs and ZenteiQ AiTech Innovations have rolled out new indigenously-developed large language models (LLMs) under the IndiaAI Mission. 

The models – Soket’s EKA-1 and ZenteiQ’s Dhīr 2B and Dhīr 5B – were unveiled at an event in New Delhi yesterday in the presence of IT secretary S Krishnan.

Both startups were selected under IndiaAI Mission to develop domestic foundation models. These models address different deployment needs. EKA-1 targets mathematics, coding, reasoning and agentic use cases, while Dhīr models focus on smaller multilingual assistants that can operate in environments with limited connectivity.

In an official statement, the IT ministry said that Soket’s 26.3 Bn parameter EKA-1 model has been trained on nearly 7.5 Tn tokens. Described as an open, sparse hybrid language model, EKA-1 supports all 22 scheduled Indian languages as well as English. It is designed for tasks spanning mathematics, code generation, reasoning and agentic applications.

“With the support of the IndiaAI Mission, we have developed an advanced AI model specifically tailored to India’s unique banking, financial services and cybersecurity landscape. It is designed to address sector-specific requirements, understand India’s evolving digital ecosystem, and deliver solutions aligned with the country’s needs and priorities,” said Soket Labs cofounder and CEO Abhishek Upperwal.

On the other hand, ZenteiQ also debuted Dhīr 2B and Dhīr 5B open-source multilingual models, which support English and 10 other Indian languages. As per the ministry, ZenteiQ’s AI models offer on-premise deployment and applications such as document-grounded automation, knowledge retrieval and use cases across government and education.


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