Nurix AI anticipates reaching $10 million in expected annual revenue by the middle of next year.

**Bengaluru Startup Nurix AI Aims for $10 Million ARR by Mid-2024**

**Meta Description:** Nurix AI, a Bengaluru-based startup, targets $10 million in annual recurring revenue by mid-2024, focusing on agentic AI for enterprise solutions.

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**Bengaluru Startup Nurix AI Aims for $10 Million ARR by Mid-2024**

Bengaluru-based Nurix AI, an agentic artificial intelligence startup, is on track to achieve $10 million in annual recurring revenue (ARR) by the first half of next year, as stated by founder and CEO Mukesh Bansal. In a recent interview, Bansal revealed that the company has nearly doubled its revenue over the past three quarters, with October marking its first revenue-generating quarter. While he did not disclose the current revenue figures, the ambitious $10 million target signifies a significant growth trajectory for Bansal’s third venture.

Unlike his previous consumer-focused startups, Cultfit and Myntra—acquired by Flipkart for over $330 million in 2014—Nurix operates as a business-to-business enterprise AI platform. Bansal emphasized the complexity of integrating AI into enterprise operations, stating, “AI cannot just work out of the box. You need someone who can understand what AI is able to do, how enterprise operates, and how to make them communicate effectively to achieve useful outcomes.”

At the core of Nurix’s offering is agentic AI, which consists of autonomous algorithms that adapt and learn while performing specific enterprise tasks such as customer service, invoicing, and lead qualification. The market for agentic AI is projected to grow significantly in the coming years, with Gartner forecasting that by 2029, agentic AI will manage 80% of customer service interactions, potentially reducing operational costs by at least 30%.

Nurix recently entered the U.S. market and anticipates rapid growth. Bansal mentioned that by the end of the current financial year, the revenue split between India and the U.S. is expected to be 50:50. In India, the company caters to a diverse clientele, while its U.S. expansion focuses primarily on the retail and insurance sectors. Currently, Nurix serves over 20 customers in India, mainly in retail and insurance, which together contribute to 70% of its revenue. Bansal aims to increase this customer base to over 100 within the next year.

In the next 12 to 18 months, Nurix plans to concentrate on voice-first agents, where it sees the strongest potential for enterprise adoption. To facilitate this, the company has launched NuPlay, a low-code platform that enables clients to configure AI agents by simply specifying roles and instructions.

The growing interest in agentic AI has attracted numerous competitors. Bansal views this influx as a positive indicator of a large market opportunity, stating, “The space being crowded is generally a good sign that demonstrates that the market is large.” However, he also noted that merely being a voice-first agent does not provide sufficient competitive advantage. “Enterprise is not just about software; it’s about understanding a particular enterprise and how to make software work effectively in that context,” he added.

As Nurix AI continues to innovate and expand, its focus on agentic AI positions it well within a rapidly evolving market, promising exciting developments in the enterprise AI landscape.

**FAQ**

**What is agentic AI?**
Agentic AI refers to autonomous algorithms that can adapt and learn while performing specific tasks within an enterprise, such as customer service and invoicing, enhancing operational efficiency. 

Vimal Sharma

Vimal Sharma

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Vimal Sharma

Vimal Sharma

A dedicated blog writer with a passion for capturing the pulse of viral news, Vimal covers a diverse range of topics, including international and national affairs, business trends, cryptocurrency, and technological advancements. Known for delivering timely and compelling content, this writer brings a sharp perspective and a commitment to keeping readers informed and engaged.

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