Intermezzo Raises $10 Million for Payroll Automation Platform
Payroll infrastructure company Intermezzo has raised $10 million in new funding. The startup, founded by two veterans of Intuit, automates payroll for human capital management (HCM) platforms, Intermezzo said in a Thursday (Sept. 10) news release. These platforms often have no localized payroll capabilities in most international markets, requiring them to work with multiple regional payroll…
Payroll infrastructure startup Intermezzo has successfully raised $10 million in new funding, as announced in a press release on September 10. Founded by two former Intuit executives, the company specializes in automating payroll for human capital management (HCM) platforms. These platforms often struggle with localized payroll capabilities in various international markets, necessitating multiple regional payroll vendors.
Siddharth Ram, Intermezzo’s co-founder and CEO, highlighted the manual nature of payroll work, which leads to accuracy and timeliness issues. He emphasized the need for a modern platform capable of automating complex gross-to-net calculations and statutory filings end-to-end. Ram and Kumar Ramanathan, Intermezzo’s chief technology officer, both have extensive backgrounds at Intuit, with Ram as the chief architect and Ramanathan as the chief data architect.
Intermezzo claims to replace the manual aggregation model with a "native, software-driven global payroll engine" utilizing proprietary architecture. By deploying AI agents, the company extracts knowledge and converts source data into structured, machine-readable rules. This approach significantly reduces the typical 20-day payroll processing cycle to just 24 hours, enhances accuracy to over 99%, and lowers costs.
The company acts as a white-label platform API provider, abstracting the need for HCM and payroll companies to replicate country-specific bureaucratic requirements.
PYMNTS' analysis of payroll technology in April revealed that the most significant change in the field is the rise of agentic AI. These systems can reason, plan, and execute multistep tasks autonomously, while also monitoring legal and regulatory landscapes, interpreting complex regulatory text using large language models. Moreover, payroll data now reflects income continuity, schedule stability, and real-time earning capacity, providing fairer financial decisions for various financial products, including short-term credit and insurance pricing.
Research from PYMNTS Intelligence indicates that approximately 60 million U.S. workers in shift-based roles, representing 15% of total consumer spending, experience highly sensitive financial lives based on when money arrives in their bank accounts, not just the amount. The study found that 96% of companies offering earned wage access assist in attracting new talent, while 75% of millennials would consider a job offer influenced by such access.
Written by urgent.news from PYMNTS's reporting — not their text. Machine-written — may contain errors; check the original before relying on it.