
Nurix
Enhances customer engagement with tailored AI solutions that integrate seamlessly into existing workflows, driving efficiency and growth.
Date | Investors | Amount | Round |
---|---|---|---|
investor investor investor | €0.0 | round | |
* | $15.0m | Series A | |
Total Funding | 000k |
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Nurix AI is an enterprise artificial intelligence company established in 2024 by Mukesh Bansal, a seasoned entrepreneur known for co-founding the fashion e-commerce platform Myntra and the fitness company Cult.fit. Bansal's extensive background in building and scaling technology ventures in India provides a strong foundation for Nurix, which was incubated in his startup studio, Meraki Labs. The company is headquartered in Bengaluru, India, with plans to establish a presence in the United States to serve markets across Asia and North America.
The firm specializes in developing custom AI agents designed to enhance enterprise productivity and customer interaction. These agents are built to integrate seamlessly into a company's existing workflows and systems, such as CRM and ERP platforms, to ensure data consistency and streamline operations. Nurix AI's core offering involves creating AI agents with advanced, human-like voice and reasoning capabilities. This technology is applied to services like sales and customer support, where it can handle complex tasks, automate interactions, and improve operational efficiency. The platform is engineered to support both voice and chat-based assistants that operate around the clock to reduce costs and improve customer engagement. For internal use, the company offers an "Agent Assist" tool that provides employees with AI-enhanced productivity features tailored for various roles, assisting with tasks like personalizing communications and automating routine processes.
The business model is centered on delivering customized AI solutions built for large-scale deployment. Nurix addresses common enterprise challenges in adopting AI, such as system integration, data management, and operational accuracy. Initial use cases, particularly within the financial services and retail sectors, have demonstrated efficiency improvements between 25% and 50%. The company recently secured a significant milestone with a $27.5 million seed and Series A funding round co-led by venture capital firms Accel and General Catalyst. This capital is being allocated to advance research and development, particularly in low-latency voice capabilities and reasoning, and to scale operations to meet growing demand.
Keywords: enterprise AI, custom AI agents, conversational AI, Mukesh Bansal, customer engagement automation, AI for sales, AI for customer support, workflow automation, human-like voice AI, AI-led productivity, agentic AI, business process outsourcing AI, Meraki Labs, General Catalyst, Accel, AI integration, natural language processing, intelligent automation, enterprise software, AI-driven workflows