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Zalos, a frontrunner in agentic software for finance operations, has successfully closed a $3.6 million seed funding round led by 14 Peaks Capital. This investment aims to scale the development of AI computer agents that independently operate complex back-office systems. The funding round also saw significant participation from Cohen Circle, 20VC, and strategic angel investors including the CFOs of FedEx and Tide.
The startup addresses the structural problem where finance teams act as a human API to connect fragmented software stacks. Many ERP and CRM platforms lack the robust integrations needed to automate billing or reconciliations. Consequently, finance professionals spend a majority of their time manually moving data across spreadsheets and banking portals.
Zalos utilizes specialized AI to learn workflows directly from screen recordings of human activity. These agents are trained to log into existing systems like NetSuite, SAP, and Sage using traditional credentials. They navigate screens, enter data, and validate information without requiring the company to rip and replace their current technology.
Founders William Fairbairn and Hung Hoang launched the company after observing the high failure rate of traditional ERP implementations. Fairbairn's experience at Agicap and Hoang's background at Apple Pay informed their vision for a third path to automation. By focusing on computer-use technology, they provide a reliable way to scale operations without the traditional risks of enterprise software overhauls.
The platform is built to meet enterprise-grade standards, including SOC 2 Type II certification and full audit logs for every action taken. These safeguards ensure that every automated workflow remains transparent for compliance and auditing purposes. The company now plans to expand its context graph to support even more complex, multi-system enterprise environments.
This funding marks a pivotal transition in the enterprise AI landscape from generative chat tools to functional, autonomous agents. While previous years focused on AI reasoning and multi-modal models, 2026 is emerging as the era of computer-use where software interacts directly with legacy interfaces. For the finance industry, this provides a critical middle ground between sticking with inefficient manual processes and the massive risk of a multi-million dollar ERP replacement. By treating the user interface as the primary API, Zalos is proving that the fastest way to modernize back-office operations is to automate existing tools rather than trying to replace them.
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