By AIM · AIM Media House
Aily Labs , an AI decision intelligence platform, announced an $80 million Series B funding round led by FPV Ventures , with participation from existing investor Insight Partners , J.P. Morgan , and other strategic investors.
The round represents one of 2025's largest Series B closings for a female-founded AI startup and validates a critical insight that enterprises are no longer satisfied with AI tools that merely inform.
They demand AI that acts. Founded in 2020 by Bianca Anghelina , a former Novartis digital finance executive, Aily Labs addresses a problem that plagues Fortune 500 companies, organizational data remains siloed, fragmented, and inaccessible when decisions matter most. Finance teams possess budget data.
The supply chain operates independently. R&D functions in isolation. The result?
Decisions that take weeks or months to reach, based on incomplete information and outdated processes. Aily's AI-native Decision Intelligence platform transforms this dynamic by integrating fragmented enterprise data into a single source of truth, then orchestrating what the company calls its "Super Agent," an autonomous AI system that doesn't just recommend decisions but executes them autonomously within defined parameters. Most enterprise AI tools stop at recommendations.
They generate dashboards, produce insights, and hand decision-making back to humans. Aily Labs transcends this limitation. The platform moves enterprises from raw data to measurable business impact in less than two weeks across finance, supply chain, R&D, and commercial operations.
Clients like Sanofi have experienced dramatic efficiency gains: what previously required weeks of manual forecasting and budget planning now occurs automatically. "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 that transform performance across every function, globally." This distinction matters because it addresses a widespread frustration among corporate executives.
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