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Nurix AI raises $27.5M to scale development of custom enterprise AI agents

Bengaluru, India-based Nurix AI, the developer of custom artificial intelligence agents for enterprise customers, today announced it has raised $27.5 million in early-stage funding.

The seed-Series A funding was co-led by General Catalyst and Accel with participation from Merkai Labs.

Founded in early 2024, Nurix builds custom AI agents that can execute complex actions on behalf of employees and customers using a company’s tools and systems. Its platform can access enterprise data allowing for real-time responses and uses proprietary voice technology that helps enhance both customer and employee experiences.

“AI is at the inflection point with the promise of completely transforming how work happens in the enterprise,” said founder and Chief Executive Mukesh Bansal. “At Nurix, we envision a future where AI agents, guided by human expertise, handle a significant portion of tasks, driving unprecedented gains in productivity and quality.”

AI agents have gained popularity in recent months as an important enterprise solution for business and customer workflows using generative AI to perform chains of tasks in the place of human agents. They can work over channels such as text as chatbots or voice by understanding natural conversational language and providing real-time support for multiple use cases. In cases where an agent cannot support a customer, it can always pass them along to a human operator to complete a task.

Examples include reducing wait times for customer service where a person calls into a contact center to resolve an issue, such as asking a question or making a return. With a voice agent or a chatbot, a user could get an instant answer to most questions or have a return processed by an AI voice agent. That agent could walk them through most procedures, including finding them a replacement, verifying their address, cross-shipping their item and sending the new one, all without needing a human.

The AI agent market is expected to grow from $5.1 billion this year to $47.1 billion by 2030, according to a report from market analysis firm MarketsAndMarkets. The growing use of “build your own agent” solutions, of which Nurix is one, and the improvement of generative AI capabilities that understand conversational speech have driven the rapid growth of the market for custom enterprise agents.

Nurix also provides agentic assistants with Agent Assist, which gives generative AI capabilities to employees that are tailored to provide AI-enhanced productivity for a multitude of enterprise and knowledge worker roles. Using AI, the agents can assist with sending reminders, suggesting documents, personalizing responses to emails and chats, and assisting with decision-making by understanding the larger business context.

Agents are also capable of automating complex rote tasks, which allows teams to spend time on more creative and strategic work. Such mundane tasks could be things such as compiling reports or going through notes to draw out important quotes from meetings, summarizing large documents to pull out important insights, automating software updates, assisting with onboarding new members to projects and more.

“AI is fundamentally reshaping enterprises, and the shift is happening rapidly,” said Deep Nishar, a partner at General Catalyst. “Enterprises need partners who deliver production-grade, customized AI solutions that are tailored to their unique needs. We believe that Nurix’s focus on practical, scalable implementations, combined with its entrepreneurial team’s proven track record, makes Nurix an essential partner for companies looking to harness the true power of AI.”

According to Nurix, the company focused on building its platform with disparate systems and data types in mind. That way, it can maintain consistent and accurate responses with numerous cloud and different operating systems.

To fuel its growth, the company said, it will allocate the new funding to scale operations across Asia and North America, strengthen its research and development capabilities and forge strategic alliances within the industry with AI hardware and product makers.

Source: siliconangle.com

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