Niural, an AI-based platform for global payroll as well as employee benefits, has launched Niural AI Labs, a new research division that will develop advanced AI agents for important business operations where accuracy, compliance, and meeting deadlines are essential. At the same time, the company raised USD21 million in new funding from existing customers and partners, including FOG Ventures and NewView Capital, increasing its total Series A funding to USD52 million.
Niural AI Labs will use the technology the company has already developed for its payroll and benefits platform and apply it to other industries that require high accuracy and strict compliance. The research team will make AI systems using workflow automation, AI task planning, verified data, testing systems, as well as continuous improvements to make sure the AI delivers correct results. For existing customers, the new AI Labs will support future product updates by automating more business processes, lowering manual work, as well as expanding AI capabilities across the platform.
Niural currently operates in more than 150 countries and processes billions of dollars in global transactions every year for customers such as Rillet, Sevaro, ConductorOne, and Polygon. The company has its own tax engine along with regulated payment system. In April 2026, Niural has started a partnership with Aetna for medical services, adding it to its existing partnerships with Guardian and Kaiser. Since this partnership began, Niural’s PEO business has grown quickly and has reached $200 million in yearly revenue, showing strong growth in its global payroll and benefits business.
As per Coherent Market Insights, the Enterprise Artificial Intelligence (AI) Market will grow at a 34.3% compound annual growth rate (CAGR) from 2026 to 2033, from USD 38.68 Bn in 2026 to around USD 304.79 Bn by 2033. Automated fraud detection systems in the BFSI sector are equipped with machine learning systems that identify illegal payment activities. Speech recognition technology is used to automate the telephonic customer service interactions in this industry. Currently, automated planners and financial advisors assist users to make efficient financial decisions.
Niural co-founder and CEO Nami Baral said, “Niural AI Labs is our bet on the hardest problem in AI: agents you can trust with work where the margin for error is zero. Most AI is built for tasks where being wrong is cheap. We built the opposite. Payroll and benefits gave us a production environment where every decision has a right answer, a deadline, and consequences. The Lab exists to take what we have proven there and extend it into other domains companies cannot afford to get wrong.”
Niural co-founder and president Nabin Banskota said, “Every breakthrough in the Lab becomes a better product in our customers’ hands. The goal is not just to save time. It is to return attention. The work that used to consume the back office should increasingly run itself, so founders and operators can focus on building the company.”
Source:
News: Niural
