Soket Labs & ZenteiQ Launch Indigenous AI Models
Soket Labs and ZenteiQ AiTech Innovations unveiled new domestically-developed large language models: Soket's EKA-1 (26.3 billion parameters trained on 7.5 trillion tokens) and ZenteiQ's Dhīr 2B and Dhīr 5B. Models were launched in New Delhi under the IndiaAI Mission with IT secretary S Krishnan present. EKA-1 supports all 22 scheduled Indian languages and targets mathematics, coding, reasoning, and agentic applications, while Dhīr models focus on multilingual assistants for limited-connectivity environments.
Key points
- Soket Labs' EKA-1: 26.3B-parameter model supporting 22 Indian languages
- ZenteiQ's Dhīr models designed for low-connectivity multilingual deployment
- Developed under IndiaAI Mission to address India's banking, fintech, and cybersecurity needs
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