Stacks, a British agentic platform for enterprise finance, has raised a €19 million ($23 million) Sequence A – introducing their new reporting and evaluation suite, on the core of which sits their new providing; AI Flux Evaluation.
The spherical was led by Lightspeed, with EQT Ventures, Common Catalyst, and S16VC doubling down. The spherical comes lower than a 12 months after Stacks’ €10 million ($12 million) seed financing, as covered by EU-Startups.
“We began with essentially the most handbook and foundational workflows in finance: accounting and the shut,” says Albert Malikov, Founder and CEO of Stacks. “From day one, we targeted on fixing the core drawback: fragmented information. By constructing an AI-ready information layer, we’re unlocking what’s wanted to deliver AI brokers into operational finance, shifting CFO groups from course of execution to higher-value evaluation and decision-making.”
Latest EU-Startups reporting exhibits continued investor urge for food for enterprise AI and adjoining information infrastructure throughout 2025 and early 2026.
Stockholm-based Agaton secured €8.4 million in Seed funding to scale its agentic AI platform targeted on changing buyer conversations into income insights, whereas Germany’s Blockbrain raised €17.5 million in a Sequence A spherical to advance enterprise-grade AI brokers that seize and operationalise organisational data. Within the UK, London-based SurrealDB introduced a €19 million Sequence A extension to scale its multi-model database infrastructure for AI functions, marking extra British exercise in AI-focused enterprise software program.
Collectively, these adjoining rounds quantity to roughly €44.9 million in disclosed funding, rising to roughly €63.9 million when together with Stacks’ €19 million Sequence A. Collectively, the funding displays sustained capital flowing into platforms that handle fragmented information, enterprise automation and AI deployment inside core enterprise capabilities, situating Stacks’ elevate inside a broader 2025–2026 enterprise AI funding cycle.
“Stacks is uniquely positioned to sort out a number of the hardest challenges in enterprise finance,” provides Alex Schmitt, Associate at Lightspeed. “The crew’s mixture of technical and finance experience from Uber and Plaid, together with the corporate’s exceptional traction, provides us robust conviction that they may lead the AI shift contained in the Workplace of the CFO.”
Based in 2024 by former leaders from Uber and Plaid, Stacks is an AI platform for enterprise accounting groups. The corporate makes use of AI brokers to automate operational finance workflows, together with reconciliations, journal entries, flux evaluation, and the month-end shut.
Stacks is utilized by greater than 30 enterprise clients globally, together with Volt, Motorway, Cleo and Bloom & Wild, and reportedly reduces shut cycles by as a lot as 50% and saves finance groups over 100,000 hours yearly by automating reconciliations, journal entries, and the month-end shut.
“The time financial savings are materials. We had been shocked simply how shortly the worth confirmed up,” says Jack Nottage, Head of Finance at Motorway, the net used automotive market, whose finance crew reconciles a number of 1000’s of funds weekly and was in a position to reduce time spent dealing with reconciliation by 40 hours per 30 days inside weeks of integrating with Stacks.
The corporate believes that fragmented information stays one of many greatest structural limitations in enterprise finance. Transaction-level element is scattered throughout ERPs, spreadsheets, information lakes, and legacy techniques, forcing groups into handbook workarounds as a result of core platforms are gradual, troublesome to combine, and never constructed for AI.
Because of this, finance groups spend extra time reconciling numbers than working with real-time visibility.
Stacks constructed its platform by fixing this basis first. The corporate developed an information layer that connects on to finance techniques and creates a single, constant monetary view throughout them. It has additionally constructed deterministic machine-learning tooling required to make automation dependable at enterprise scale.
On high of that basis, Stacks has deployed brokers that automate operational workflows throughout the finance stack.
“With Stacks, we’re saving a noticeable period of time on the finance shut, and consequently we are able to produce the administration accounts sooner every month,” mentioned Andy Murray, Head of Finance at Cleo, the AI-native private finance assistant, who onboarded with Stacks to enhance the crew’s crucial workflows. Cleo now stories 80% sooner journal entry processing and the power to drag information between techniques to provide enhanced monetary stories inside seconds.
The corporate in the present day launched a brand new reporting and evaluation suite aimed toward shifting finance groups past handbook reporting and towards automated enterprise rationalization.
On the centre of the launch is AI Flux Evaluation, a product that automates variance evaluation and replaces spreadsheet-based commentary with explainable, account-level investigation. Flux identifies variance drivers throughout transactions, pulls historic context throughout intervals, and generates explanations that finance groups can overview and refine.
Stack can be introducing a leadership-ready govt abstract, which represents the primary layer of a broader intelligence suite for enterprise finance.
“We slashed our month-to-month shut time by eight days,” mentioned JP, International Head of Accounting at international jewellery buying and selling platform, Nivoda. “Journal postings went from days to minutes, and we automated 95% of reconciliations.”
