Stacks is building agentic AI for operational finance, the recurring, high-volume work that keeps enterprise books accurate: month-end close, reconciliations, and journal entries. The founder's core insight is that AI can only be useful in finance if it sits on clean, connected data, so Stacks first builds an AI-ready data layer that unifies fragmented financial information across systems, then deploys AI agents on top of it to automate the close. The ambition is to compress a multi-day, manual financial close into something closer to one click.
Finance teams at scale juggle data spread across ERPs, banks, billing systems, and spreadsheets, and the month-end close becomes a recurring fire drill of matching transactions, posting entries, and chasing exceptions. By creating a unified data foundation and layering agents that reconcile accounts, prepare journal entries, and explain variances, Stacks aims to remove the manual grind while keeping outputs reviewable and auditable. The company claims to have saved finance teams more than 100,000 hours annually across its customer base.
Stacks was founded in 2024 by Albert Malikov, a veteran of Uber and Plaid, originally in Amsterdam and now headquartered in London. The team draws on experience building data-intensive systems at scale, which informs the data-layer-first approach that distinguishes Stacks from point-solution close tools. Since launch it has onboarded enterprise customers including Epidemic Sound, Pleo, Cleo, and Bloom & Wild.
The company's funding trajectory has been rapid: a $3 million pre-seed led by EQT Ventures, followed by a $7 million seed led by General Catalyst, and then a $23 million Series A led by Lightspeed, with continued participation from General Catalyst, EQT Ventures, and S16VC. The momentum reflects strong investor appetite for agentic AI applied to operational finance, where the work is repetitive, rules-based, and measurable, an ideal surface for AI agents. For enterprise accounting teams under pressure to close faster and more accurately, Stacks positions its data layer plus agents as the path to a near-instant close.