The startup is looking to ease the workloads of finance teams.
A startup looking to ease the manual workload of finance teams through deploying AI agents has raised $3.6m in a seed funding round. The funding round in the London and San Francisco-based Zalos was led by Swiss VC 14Peaks Capital.
Other investors include Cohen Circle, Harry Stebbings’ 20VC and several angels, including Ian Sutherland, the CTO of business bank Tide, and Mike Lenz, CFO, Fedex.
The startup is tackling the challenge of modern finance teams being run on what it says are the fragmented stack of ERPs, CRMs, spreadsheets, email, and banking platforms that, it says, were never designed to talk to each other.
It says APIs between these systems are 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 believes 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. Zalos claims its AI agents, built in-house, are pioneering a new era in finance that seamlessly integrate into existing systems, tackling the manual workload that has burdened finance teams for years without needing to replace the systems CFOs have built their operations around.
It says its agents can log into systems with a username & password, then automating workflows, while preserving existing setups.
Unlike other solutions, it says its agents are designed specifically for finance, ensuring accuracy and reliability in high-stakes operations, and have finance-specific skills like Excel.
The startup was founded by William Fairbairn, CEO. and Hung Hoang, CTO, who met at Y Combinator, where they focused on specialised agents.
Fairbairn said: “Finance teams have the systems, but they are still doing the work manually because the stack is not connected. 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.”
The startup says it will use the funding to improve its tech and target new customers, moving beyond midmarket ERPs, into targeting enterprise ERPs.