A startup viewing 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 states are the fragmented stack of ERPs, CRMs, spreadsheets, email, and banking platforms that, it states, were never designed to talk to each other.
It states 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 depfinishs 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-houtilize, 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 necessarying to replace the systems CFOs have built their operations around.
It states its agents can log into systems with a utilizername & password, then automating workflows, while preserving existing setups.
Unlike other solutions, it states 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 focutilized on specialised agents.
Fairbairn stated: “Finance teams have the systems, but they are still doing the work manually becautilize the stack is not connected. We built Zalos on the belief that CFOs should not necessary 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 finish to finish are the rapidest path to real transformation in finance operations.”
The startup states it will utilize the funding to improve its tech and tarreceive new customers, relocating beyond midmarket ERPs, into tarreceiveing enterprise ERPs.
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