Global Public Sector
Enterprises across India face significant challenges due to the limited availability of AI agents capable of comprehending the rich diversity of Indian languages. With 22 officially recognized languages and a multitude of regional dialects, understanding and processing these linguistic nuances remains a complex task. To address these challenges, CoRover.ai developed a conversational generative AI platform that leverages BharatGPT, a large language model fine-tuned for 22 Indic languages. By leveraging the NVIDIA NeMo™ stack and the resources available through the NVIDIA Inception program for startups, CoRover.ai can deliver high-performance AI solutions optimized for population-scale deployment and cost efficiency.
CoRover.ai
Generative AI / LLMs
NVIDIA AI Enterprise
NVIDIA DGX
NVIDIA Riva
In a landscape where effective communication is essential for customer engagement and operational efficiency, the lack of advanced AI solutions that can navigate this linguistic variety hampers progress and limits the potential for automation and personalized interactions.
CoRover’s conversational AI platform, which is currently used by over a billion individuals, is addressing this challenge by offering a robust, secure, and regionally tuned generative AI solution for conversational applications.
As more customers started using CoRover’s platform, the company began facing challenges with latency, limited throughput, and performance bottlenecks while scaling their conversational AI platform to support millions of users. The company also needed a modular architecture with strong compliance and security measures to meet enterprise requirements and deliver highly personalized, multimodal AI experiences across voice, text, and video, all while maintaining low operational costs.
To address these issues, CoRover required a proven, scalable, and high-performance infrastructure to power its AI models and reduce time to market. CoRover’s platform leverages the NVIDIA NeMo stack for modularity and scalability. This architecture ensures high performance and production readiness, enabling the deployment of AI agents at a population scale while optimizing cost efficiency.
CoRover.ai utilizes NVIDIA A100 and H100 Tensor Core GPUs for efficient training and inference. The AI solutions are enhanced by NVIDIA NeMo for conversational AI and NVIDIA® Riva for speech AI, and are optimized with NVIDIA Triton Inference Server™ and NVIDIA® TensorRT™ for high-performance deployment.
By integrating NVIDIA’s advanced technology stack, CoRover experienced significant improvements, including:
CoRover experienced transformative benefits with NVIDIA’s technology, including high-speed inference capabilities, multi-GPU scalability, and optimized latency through TensorRT and Triton. NeMo’s pretrained models and customization framework significantly reduced development time, enabling highly responsive, humanlike interactions across text, voice, and video, even during high traffic loads.
With NVIDIA, CoRover achieved faster response times and enhanced concurrency, allowing the company to offer AI-powered multilingual assistants with video and voice support at enterprise-grade reliability. This collaboration unlocked new possibilities for secure, scalable, and intelligent conversational experiences, including real-time conversational payments and predictive automation.
“We are able to improve our platform with the help of NVIDIA, and in parallel, we are able to deploy our LLM-powered AI agents, as well.”
Ankush Sabharwal
Founder and CEO, CoRover.ai
Learn more about the NVIDIA Inception program.