Agentic Finance Startup Stacks Raises $23M
Stacks, an agentic finance automation startup, has raised $23 million in a Series A funding round. The company aims to modernize enterprise financial operations with AI-driven agents for tasks like workflow orchestration for month-end close and compliance reporting. The funding validates the market for AI-first financial back-office platforms.
- The Series A round was led by Lightspeed Venture Partners and included follow-on investments from General Catalyst, EQT Ventures, and S16VC. This comes less than a year after a $12 million seed round led by General Catalyst. - Stacks was founded by Albert Malikov, who previously held product leadership roles at Uber and Plaid, where he focused on scaling Plaid's European operations. The company is headquartered in London with roots in Amsterdam. - Since its launch, Stacks has onboarded over 30 enterprise clients, including Epidemic Sound, Pleo, and Cleo, and claims to have saved finance teams more than 100,000 hours annually. - The platform addresses data fragmentation by creating a unified data layer that connects to various financial systems like ERPs and spreadsheets, enabling AI agents to then automate workflows such as reconciliations and journal entries. - Agentic AI systems in finance are moving beyond simple automation to handle multi-step workflows, such as data extraction, model training, and reporting, and can adapt to dynamic market data. Frameworks like LangChain are being used to build multi-agent systems for tasks like signal generation and portfolio evaluation. - For developers, embedded finance APIs from companies like Plaid and Modern Treasury allow for the integration of services like payments, lending, and account management directly into non-financial applications. - Quantum computing is emerging as a transformative technology in finance for portfolio optimization, risk management, and fraud detection by accelerating complex calculations like Monte Carlo simulations. - The fintech fundraising climate in early 2026 shows a continued focus on AI-driven solutions, with significant capital flowing into pre-IPO companies, alongside an expected increase in M&A activity.
