Getting employees paid across multiple countries can involve a tangle of local vendors, spreadsheets and regulatory requirements.
Today a new AI startup is emerging with a promise that AI can automate large swaths of that workload.
The company is Intermezzo and it’s also announcing $10 million in funding from Crosslink Capital, UKG Ventures, CloudPay, Character Capital, Behind Genius Ventures and leading angel investors.
Selling to the platforms behind the paycheck
Founded by former Intuit executives Siddharth Ram (CEO) and Kumar Ramanathan (CTO), Intermezzo is building a global payroll engine that other businesses can embed in their products. Its target customers include human capital management, or HCM, platforms, employer-of-record providers and payroll bureaus.
The idea is to give those companies a single interface for handling payroll across countries, with Intermezzo taking on the underlying calculations and country-specific requirements. It is an infrastructure business: Employees receiving payslips through a customer’s platform might never encounter the Intermezzo name.
That positioning puts the startup behind a familiar enterprise software problem. A platform can offer a unified experience for managing a workforce while relying on a fragmented collection of providers to handle the actual payroll work in different markets.
According to Intermezzo, those arrangements often require substantial manual coordination, with important operational knowledge living in spreadsheets and being passed around by email. Adding another country can mean adding another vendor relationship, another set of data requirements and another process to maintain.
“The Payroll Industry has a high level of manual work that causes accuracy and timeliness problems,” said CEO Siddharth Ram said in a statement. “The market needs a modern platform that automates complex gross-to-net calculations and statutory filings end-to-end.”
Turning payroll knowledge into software
Intermezzo’s approach starts with turning that knowledge into something software can use.
The company says its architecture deploys AI agents to extract information from source material and convert it into structured, machine-readable rules. Those rules support a native payroll engine intended to automate work that would otherwise require coordination with local providers.
That is the substance behind the company’s AI-native pitch. AI is being used to help translate payroll knowledge into a computational system, with the aim of making country-specific requirements easier to incorporate into a common platform.
One API for international payroll
For customers, the proposed interface is a single API and a unified data schema. An HCM or payroll provider would connect to Intermezzo to add international payroll capabilities without building a separate calculation engine for each market.
The advertised capabilities include real-time gross-to-net calculations, which determine take-home pay after applicable taxes and deductions, as well as on-demand payroll runs. Intermezzo also says its platform can generate payslips through API calls and synchronize payroll information with enterprise resource planning systems.
Tax and regulatory reporting are another part of the offering. The company describes automated generation of tax forms and regulatory filings, with updates to reflect changing requirements.
For a platform adopting the technology, the appeal is consolidating several pieces of payroll infrastructure behind one integration.
Intermezzo’s headline performance claim is that it can reduce a payroll processing cycle from 20 days to 24 hours while delivering accuracy above 99%.
Payroll companies join the investor list
The investor list gives the startup connections to companies already working in the market it wants to serve.
UKG Ventures is the investment arm of workforce software company UKG, while CloudPay operates in payroll.
“Workforce technology is no longer back-office administration. It is core business infrastructure, and payroll is one of the clearest examples of that shift,” Ed Park said in a statement for UKG Ventures.
CloudPay CEO Roland Folz similarly pointed to Intermezzo’s focus on automation, AI and simplifying payroll complexity in a statement accompanying the funding announcement.
Their backing connects Intermezzo to established participants in the payroll ecosystem.
From Intuit to international payroll
The founders bring experience spanning financial software and global employment infrastructure. Ram previously served as chief architect at Intuit, where he worked on small-business infrastructure, and later held CTO roles at Inflection and Velocity Global. Ramanathan, Intermezzo’s co-founder and CTO, was formerly chief data architect at Intuit and held CTO and chief architect roles at Velocity Global.
The duo bring a combined 40 years of experience building global platforms.
The business case rests on making those buyers’ own products easier to expand and operate. If Intermezzo can reliably absorb the work of maintaining local payroll rules, an HCM provider could quickly gain international capabilities without recreating that infrastructure itself.
Companies can learn more at https://intermezzo.ai/.
