CoRover.ai

CoRover.ai brings CoroAssist — GenAI info retrieval system

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New Delhi: Conversational AI startup CoRover.ai has announced the launch of CoroAssist — a secure GenAI information retrieval system designed to help enterprises access and interact with crucial data.

Backed by CoRover.ai’s Large Language Model (LLM) and BharatGPT, CoroAssist leverages a state-of-the-art LLM-based RAG (Retrieval Augmented Generation) framework, enabling swift retrieval of accurate, real-time information from reliable sources.

CoroAssist’s primary goal is to enhance effectiveness, efficiency, and transparency across the enterprise ecosystem. By providing optimised decision-making tools and preventing reputational, compliance, and financial losses due to a lack of knowledge and timely information,

CoroAssist aims to ensure overall success for enterprises in various sectors like banking, healthcare, education, compliance/governance, and more. It provides optimised decision-making tools and prevents reputational, compliance and financial losses due to lack of knowledge and timely information. And the startup has already launched CoroAssist for banks.

“CoroAssist represents a remarkable leap forward in information retrieval for businesses. It swiftly delivers accurate, role-based information from a variety of reliable sources including websites, documents, videos, ERP/CRM systems, APIs, and more, all with proper references,” said Ankush Sabharwal, CEO of CoRover.

“Utilising Virtual Assistants fluent in users’ preferred languages ensures better decision-making without any hassle. Our system is not only super secure but also built on an industry-specific LLM-based RAG framework, allowing for deployment in less than a day,” added Sabharwal.

Further, “CoroAssist is the culmination of our team’s hard work and dedication. I would like to extend my heartfelt thanks to each member of our team for their relentless efforts in bringing this groundbreaking solution to life,” he said.

  • Key Components of CoroAssist:
  • Real-Time AI-Powered RAG Framework: Leveraging cutting-edge LLM-based RAG framework for pulling real-time information from relevant, reliable, and up-to-date sources.
  • Transparent Source References: Ensuring trust, credibility, and transparency by providing proper source references, fostering trust and credibility within the enterprise.
  • Multi-lingual, Multi-Channel, and Multi-Format Virtual Assistant: Offering versatility in language, channels, and formats for enhanced accessibility and convenience, accommodating diverse preferences and needs.
  • Secure, Reliable, and Scalable Deployment: Commitment to security, reliability, and scalability, ensuring a robust and dependable system for enterprise-wide deployment.
  • Grounded, Responsible, and Less Hallucinated Responses: Providing contextual answers rooted in responsibility to minimize misleading or inaccurate information.

CoRover.ai recently introduced BharatGPT, India’s first Large Language Model (LLM). This groundbreaking development aims to revolutionise AI conversations across 22 Indian languages, addressing the language diversity challenges prevalent in the country. With a track record of winning the trust of large enterprises like Microsoft, Birlasoft, Google, and Accenture, CoRover.ai stands out with its quick turnaround time and versatility.