Stacks Raises $23M for Enterprise Finance AI
Stacks, an agentic AI platform for enterprise finance, has raised $23 million in a Series A round led by Founders Fund. The investment indicates that agentic AI is verticalizing into domain-specific business solutions beyond general-purpose tools. The funding will likely be used to scale its platform for automating complex financial workflows.
- The Series A was led by Lightspeed Venture Partners, with returning investors EQT Ventures, General Catalyst, and S16VC also participating. This funding round comes less than a year after a $12 million seed round, bringing the company's total funding to $35 million. - Stacks was founded by Albert Malikov, who previously held product leadership roles at Uber and Plaid, where he focused on scaling Plaid's European business. The founding team's experience combines expertise in finance and technology from companies like Uber, Plaid, and Miro. - The core of Stacks' platform is a data layer that integrates with disparate financial systems like ERPs, spreadsheets, and data lakes to create a single, consistent view of financial data. On top of this, the company has built deterministic machine-learning tools to ensure the reliability of its automation at an enterprise scale. - Since emerging from stealth less than a year ago, Stacks has onboarded over 30 enterprise customers, including Volt, Motorway, Cleo, and Bloom & Wild. The company claims its platform has saved these clients over 100,000 hours annually by automating tasks like reconciliations and journal entries. - Concurrent with the funding announcement, Stacks launched a new feature called AI Flux Analysis, a suite for reporting and analysis that automates variance analysis. This tool is designed to identify the drivers of financial fluctuations and generate explanations, reducing reporting cycles from days to minutes. - The company is targeting the $100 billion Office of the CFO software market, competing with incumbents like BlackLine and HighRadius. Stacks aims to differentiate itself with an AI-native platform built for end-to-end agentic finance. - Agentic AI in finance utilizes autonomous agents to manage complex, multi-step workflows across different systems, moving beyond simple task automation to handle processes like account reconciliation and compliance reporting with minimal human intervention. This allows finance professionals to focus more on strategic analysis and decision-making.
