Aily Labs raises $80M to move enterprises from data insights to autonomous decision execution
Aily Labs secured $80 million in Series B funding led by FPV Ventures, with participation from existing investors Insight Partners and J.P. Morgan, to scale its autonomous decision intelligence platform that transforms how Fortune 500 companies execute critical business decisions.
The funding addresses a pervasive enterprise bottleneck: organizational decision paralysis caused by fragmented data across departments, where finance, supply chain, and R&D operate in silos, resulting in decisions that take weeks or months based on incomplete information.
Decision Execution vs. Insight Generation
Most enterprise AI tools stop at recommendations, generating dashboards and insights before handing decision-making back to humans. Aily Labs transcends this limitation through what it calls its “Super Agent” — an autonomous AI system that doesn’t just recommend decisions but executes them within defined parameters.
The platform integrates fragmented enterprise data into a unified source of truth, then orchestrates autonomous decision execution across finance, supply chain, R&D, and commercial operations. Clients move from raw data to measurable business impact in under two weeks.
“Companies can no longer afford to wait for insights, they need AI that acts,” said Bianca Anghelina, founder and CEO of Aily Labs. “This funding lets us scale our Super Agent and Decision Intelligence LLM, enabling enterprises to make faster, smarter, and fully autonomous decisions.”
Founded in 2020 by Anghelina, a former Novartis digital finance executive, the company emerged from direct experience with organizational paralysis created by siloed data. At Novartis, she observed talented decision-makers constrained by processes requiring weeks to consolidate information across departments.
Production Validation and ROI Evidence
Aily Labs serves Fortune 500 clients including Sanofi, where what previously required weeks of manual forecasting and budget planning now occurs automatically. The platform has proven unit economics and achieved profitability before this Series B round, demonstrating execution at scale without requiring venture-stage funding from inception.
“I often hear from CEOs that they’re spending millions on AI, but can’t effectively deploy it or extract real business value,” said Pegah Ebrahimi, co-founder and managing partner at FPV Ventures. “CEOs tell us they’re making different decisions because of Aily’s AI, decisions that save money, grow revenue, and transform how their companies operate.”
The distinction matters because it addresses widespread frustration among corporate executives who report investing millions in AI infrastructure yet struggle to extract measurable ROI. Aily’s differentiation lies in its focus on decision-driven outcomes rather than insight generation alone.
Market Shift: From Analysis to Autonomous Action
The $80 million will support global expansion of Aily’s mobile-first Decision Intelligence App across new industries beyond healthcare, advancement of autonomous AI agents that execute high-impact decisions without human intervention, and enhancement of the company’s proprietary Decision Intelligence LLM.
This reflects confidence in a market where enterprise leaders increasingly view AI adoption as a competitive necessity rather than discretionary investment. Yet many executives remain frustrated by the gap between theoretical AI potential and actual business returns.
“Aily bridges the gap between fragmented data and real-time decision-making through agentic AI,” said Amy Chang, board member at Aily Labs and veteran Fortune 50 board member. “For leaders, that means what once took weeks now happens in minutes, enabling sharper execution and measurable growth.”
Infrastructure Evolution: Beyond Dashboards to Autonomous Operations
If Aily can prove that autonomous AI agents reliably execute enterprise decisions across functions, reducing inefficiencies that currently cost corporations over $200 million annually, the market opportunity becomes massive. Anghelina envisions reaching one million users within Fortune 500 companies by 2027.
The vision extends beyond efficiency gains to fundamental reimagining of how large organizations make decisions. Rather than human-in-the-loop workflows that bottleneck at approval stages, Aily enables autonomous decision execution within guardrails, transforming enterprises from reactive to predictive operations.
The shift from insight-based to action-based AI represents a critical infrastructure evolution as enterprises discover that competitive advantage comes not from better dashboards, but from faster autonomous decision execution. Just as Overclock orchestrates human workflows through natural language automation, Aily Labs focuses on enterprise decision workflows that eliminate the traditional gap between data analysis and business action, enabling organizations to operate at the speed of data rather than the speed of meetings.