Modern finance teams run on a fragmented stack of ERPs, CRMs, spreadsheets, email, and banking platforms that were never designed to talk to each other.
APIs between these systems are often missing or incomplete, which means finance teams become the human API themselves, manually stitching data across systems to complete billing cycles, close the books, and produce reporting their business depends on.
Zalos was built on the belief that the next leap in productivity will not come from replacing that stack, but from agentic software that can operate it the same way humans do and understands the deep business context.
Today Zalos, the leader in Computer Agents for Finance Operations, announced a $3.6 million seed round to realize this vision. The funding round was led by 14 Peaks with participation from Cohen Circle, 20VC and notable angels.
Computer Agents are the defining AI technology for 2026. 2023 was generative AI, 2024 brought multi-modal, and in 2025, AI learnt reasoning. Now AI will take over our computers.
OpenAI and Anthropic have both moved into the space with generalist Computer Agents, but Zalos is purpose-built for finance operations, where the stakes of getting it wrong are categorically higher.
Finance teams cannot operate on 90% accuracy, the agents need finance specific skills, and they need every automated action logged in a format auditors can follow. The Computer Agent market is still in its early stages; comparable to where large language models were at GPT 3.5. Zalos’s purpose-built infrastructure and evaluation systems are designed to push reliability to the accuracy levels that CFOs need to automate finance operations at scale.
“Finance teams have the systems, but they are still doing the work manually because the stack is not connected,” said William Fairbairn, CEO and co-founder of Zalos. “We built Zalos on the belief that CFOs should not need to rip out their existing stack to adopt the latest in AI, we want to start by sitting on top of what is already there. Computer Agents that can log in and run the workflow end to end are the fastest path to real transformation in finance operations.”
Zalos converts screen recordings of finance workflows into Computer Agents that log in, navigate screens, enter data, and check against controls across ERPs, Excel, email, and internal tools.
The platform works inside NetSuite, Sage, and SAP S/4HANA today, with no heavy integrations required.
Every agent action is captured in an auditable log, and the platform is built to enterprise security standards including SOC 2 Part II certification, enterprise single sign-on, role-based access controls, and on-premise deployment options.
Use cases being most actively used by clients include billing automation across multiple systems, month-end reconciliations, and cross-system KPI reporting across multiple ERP instances.
The company was founded by CEO William Fairbairn and CTO Hung Hoang after intersecting paths led them to the same conclusion.
Fairbairn spent years at Agicap speaking with hundreds of CFOs, and heard the same frustration consistently: ERP implementations take more than twelve months, deliver limited upside when they go well, and carry real career risk when they go wrong.
Hoang left Apple Pay after five years and became focused on Computer Agents specifically because they avoid the API problem that has stalled so many automation efforts in finance. The two began building Zalos last October after joining Y Combinator, with a focus on specialized agents that emulate how finance teams actually operate inside their tools.
Hung Hoang, CTO and co-founder of Zalos added
“The opportunity Zalos is addressing reflects a structural reality in enterprise finance. Legacy ERPs’ speed of innovation has stalled, leading to growing manual work in the place of transformative automation. AI-native ERPs may offer a credible alternative for companies that have not yet committed to a system. But for the majority of midmarket and enterprise finance teams, replacing an embedded ERP is not an attractive option; years of processes have been built around it, and too many painful system implementations remain fresh in memory.
The rise of reliable Computer Agents creates a third path: automation that sits on top of the existing stack and operates it as a human would.
These agents are trained once with screen recordings, then the process is automated forever, never taking a holiday, and at a speed and consistency a person cannot match.”
Emanuele Larocca, Principal at 14 Peaks:
“Finance operations is one of the last areas where the complexity and embeddedness of the underlying systems have made it genuinely hard for CFOs to unlock the ROI promised by AI. What Zalos has built sidesteps that problem entirely. By operating the systems as a human would, training agents with screen recordings, they deliver the true power of finance transformation without losing any domain expertise or asking CFOs to rip out systems they have spent years configuring.”
Nate Pontician, vice president at Cohen Circle:
“Zalos is redefining what software means for the CFOs. Zalos’ computer agents don’t just assist; they log in, navigate systems, and complete workflows end-to-end. They’re giving finance professionals back hours lost to repetitive tasks so they can focus on what actually moves the business forward. It’s not a copilot… it’s a colleague.”
Looking ahead, Zalos plans to expand beyond the major midmarket ERPs where it already has customers and into enterprise ERPs and on-premise systems. By building a wide-reaching context graph across the finance stack, the company aims to help CFOs deploy a swarm of agents and drive a step-change in their finance team’s impact.
