Bengaluru: CoRover, a conversational AI company, has unveiled its latest innovation, BharatGPT Mini, a Small Language Model (SLM) engineered for low-infrastructure and compute-constrained environments. With approximately 534 million parameters, this compact yet powerful model delivers multilingual AI capabilities specifically tailored for India’s diverse and privacy-conscious market.
- Efficient, Localized, and Privacy-Centric Solution
BharatGPT Mini is trained on CoRover’s proprietary conversational dataset and supports text-in, text-out tasks across 14 Indic languages, enabling robust performance on low-end devices. Optimized for edge and offline deployments, the model ensures strong data privacy with on-device encrypted processing, eliminating dependency on high-end cloud infrastructure.
CoRover aims to meet the rising demand for affordable, localized AI solutions that prioritize speed and privacy, especially vital for rural and semi-urban regions with limited digital resources. The model is currently available via CoRover Builder, a low/no-code DIY platform that empowers users to create AI assistants in minutes. It supports text, voice, and video interactions through web, telephony, and IoT systems, allowing seamless integration and deployment across industries.
The Builder tool includes task-specific customization, letting businesses fine-tune assistants without technical expertise, making AI more accessible to SMEs and enterprises alike.
- Surge in Demand for Small Language Models
As India’s AI landscape evolves, SLMs are becoming increasingly preferred for their speed, efficiency, and data privacy advantages over large-scale models. CoRover reports a 60–70% surge in its project pipeline, reflecting growing interest from enterprises in privacy-first, multilingual AI solutions.
With BharatGPT Mini, CoRover is expected to transform how India leverages AI at the edge, cost-effectively and inclusively.
