Stacks Raises $23M for Scalable Agentic AI
Stacks, a startup focused on building a platform for scalable agentic AI, has raised $23 million in a Series A funding round. The investment signals strong venture capital confidence in agent-based systems as the next major layer of software automation and productivity.
- This Series A round was led by Lightspeed, with existing investors EQT Ventures, General Catalyst, and S16VC also participating. This funding comes less than a year after a $12 million seed round led by General Catalyst. - Stacks is targeting the enterprise finance sector, a software market for the Office of the CFO valued at over $100 billion. The platform is designed to automate labor-intensive processes such as reconciliations, journal entries, and the month-end close. - The company's core technology is a data layer that connects to various financial systems like ERPs and spreadsheets to create a single, consistent financial view, which then allows its AI agents to automate complex workflows. - Concurrent with the funding announcement, Stacks launched a new product called "AI Flux Analysis." This tool automates variance analysis and generates explanations for financial changes, a task typically handled manually in spreadsheets. - The founder and CEO, Albert Malikov, previously worked on the money team at Uber and was the Head of International Product at Plaid, giving him firsthand experience with the financial data fragmentation issues Stacks aims to solve. - Since its launch, Stacks has onboarded over 30 enterprise clients, including Volt, Motorway, and Cleo, and reports that its platform has saved these customers over 100,000 hours of manual work annually. - The "agentic AI" model utilized by Stacks involves AI systems that can autonomously plan and carry out multi-step tasks with minimal human intervention, distinguishing it from generative AI, which primarily creates content. - Stacks is challenging established players in the enterprise finance software market, such as BlackLine and HighRadius, with the strategy that its AI-first approach will offer a distinct competitive advantage.
