Niural Secures $31M to Enhance AI-Driven PEO Platform

Niural Secures $31M to Enhance AI-Driven PEO Platform

Niural has raised $31 million in Series A funding to advance its AI-native PEO platform, led by Marathon Management Partners.

Niural has raised $31 million in Series A funding, announced in a press release. The funding round was led by Marathon Management Partners, with participation from existing investors M13, Inspired Capital, and Newform Capital, along with several new strategic investors. Marathon's Gokul Rajaram, who serves on the boards of companies like Coinbase and Pinterest, will join Niural's board.

Niural aims to use the funds to accelerate its AI capabilities and expand globally. The company offers an AI-native Professional Employment Organization (PEO) platform designed to streamline payroll, global compliance, and payment operations. The platform features EMMA, an executional AI coworker, which helps companies save time and reduce costs.

Co-founded by Nami Baral and Nabin Banskota, Niural has seen significant growth, reporting a 700% increase in annual recurring revenue last year. The company serves a range of clients, including Tensor, Polygon Labs, and Karate.com, and aims to replace multiple tools with its comprehensive suite of products.

We hope you enjoyed this article.

Consider subscribing to one of several newsletters we publish like AI Funding Brief.

Also, consider following us on social media:

AI Funding News
AI Brief (X)

More from: Funding

More from: Finance

Subscribe to Finance AI Weekly

Weekly newsletter about AI in finance. Covers AI-driven trading, fintech innovations, and data analytics transforming markets

AI Token Webinar

Market report

Superagency in the Workplace: Empowering People to Unlock AI’s Full Potential

This report explores the transformative potential of artificial intelligence in the workplace, emphasizing the readiness of employees versus the slower adaptation of leadership. It highlights the significant productivity growth potential AI offers, akin to historical technological shifts, and discusses the barriers to achieving AI maturity within organizations. The report also examines the role of leadership in steering companies towards effective AI integration and the need for strategic investments to harness AI's full capabilities.

Read more

You May Also Like