In November 2025, Aily Labs announced an $80 million funding round that’s turning heads across the enterprise AI sector. Led by FPV Ventures with backing from Insight Partners, J.P. Morgan, and other strategic investors, this injection of capital brings the company’s total funding to $101 million since its founding in 2020.
But here’s what makes this particularly interesting: whilst many AI companies promise transformation, Aily Labs is delivering measurable returns in under two weeks. For Fortune 500 companies drowning in data but starving for actionable insights, that’s not just impressive. It’s game-changing.
What Is Aily Labs? Understanding the Decision Intelligence Platform
Aily Labs has built something fundamentally different from traditional business intelligence tools. The company describes itself as the first AI-native Decision Intelligence platform designed specifically for global enterprises. Rather than just presenting data visualisations or generating reports, Aily Labs’ platform actively drives decisions across finance, supply chain, R&D, and commercial operations.
The platform works by integrating siloed company data into a unified system that doesn’t just analyse but acts. This is where Aily Labs distinguishes itself in an increasingly crowded market.
The Technology Behind Aily’s Success
At the heart of the platform sits what Aily Labs calls its “Super Agent”. This is an orchestration layer that coordinates multiple autonomous AI agents. These agents don’t simply recommend actions; they can execute decisions automatically when parameters are met. Think of it as moving from a sat nav that suggests routes to one that actually drives the car.
The architecture combines artificial intelligence, machine learning, and large language models into a mobile-first application that integrates with existing enterprise systems. According to the company, deployment takes just one day, which is remarkably quick compared to traditional enterprise software implementations that often stretch for months.
Aily Labs Funding Round: Breaking Down the $80 Million Investment
The story of Aily Labs’ funding trajectory is particularly interesting because it defies the typical Silicon Valley playbook. Rather than racing to raise venture capital immediately after founding, the company bootstrapped its way to profitability first, proving product-market fit before seeking institutional investment.
The Bootstrap Phase (2020-2023)
Founded in 2020 by Bianca Anghelina, Sara Bisbe López, and Chris Sawyer during the pandemic, Aily Labs initially self-funded its operations. This wasn’t just a choice born of necessity. It was strategic. The founding team built the first version of the platform in just eight weeks and achieved profitability within its first year of operation, a remarkable achievement for an enterprise AI company.
This bootstrapped phase allowed the founders to maintain complete control over product direction and company culture whilst proving their thesis: enterprises desperately needed AI that moved beyond insights to action. The validation came from early adopters, including pharmaceutical giant Sanofi, which rolled out Aily’s platform at scale in June 2023.
Series A: €19 Million from Insight Partners (August 2023)
After three years of profitable, self-funded growth, Aily Labs raised its first institutional funding round in August 2023. The €19 million (approximately $20.6 million) Series A was led by Insight Partners, a global software investor with over $75 billion in assets under management and a track record of backing more than 750 companies worldwide.
The timing was deliberate. By waiting until they had proven traction and profitability, the founders could negotiate from a position of strength. Hilary Gosher, Managing Director at Insight Partners, explained their investment thesis: “Aily Labs is the future of how decision-making happens. By creating a single source of truth for cross-enterprise data, Aily ensures that individuals from analysts to executives have real-time, AI-driven insights and ‘what-if’ scenarios to make better-informed business decisions.”
This funding round served specific purposes. It accelerated US market expansion, particularly building out sales infrastructure and go-to-market capabilities in North America. It also funded innovation in applied generative AI and digital solutions, positioning the company to capitalise on the explosion of interest in large language models following ChatGPT’s November 2022 launch.
Crucially, Insight Partners brought more than just capital. The firm provided strategic mentorship that helped Anghelina build global sales operations and expand the engineering organisation. This operational support proved invaluable as the company transitioned from a product-focused startup to a scaling enterprise software business.
Series B: $80 Million Led by FPV Ventures (November 2025)
Fast forward to November 2025, and Aily Labs announced an $80 million Series B round that represents one of the largest funding rounds for a female-founded AI startup this year. FPV Ventures led the round, with participation from existing investor Insight Partners (doubling down on their initial bet), J.P. Morgan through its Innovation Economy division, and other strategic investors.
The Series B brings Aily Labs’ total funding to $101 million, a substantial war chest that reflects both the company’s execution to date and the massive market opportunity ahead.
Who’s Backing Aily Labs?
FPV Ventures led the round, with Pegah Ebrahimi, the firm’s co-founder and managing partner, explaining their investment thesis clearly: “I often hear from CEOs that they’re spending millions on AI, but can’t effectively deploy it or extract real business value from it.” That pain point (the gap between AI investment and AI results) is precisely what Aily Labs addresses.
Insight Partners, already an existing investor, doubled down with additional capital. J.P. Morgan’s participation through its Innovation Economy division adds strategic weight, whilst other unnamed investors joined the round. Max Hauer, Head of DACH Innovation Economy at J.P. Morgan, noted the platform is “poised to continue creating global impact across industries.”
What the Funding Means for Enterprise AI
Aily Labs has outlined four strategic priorities for the capital:
- Global expansion of its mobile-first Decision Intelligence App across new industries and regions. The company currently operates from Munich, New York, Barcelona, Madrid, and Cluj, and this funding will likely accelerate its international footprint.
- Advancing agentic autonomy by building AI agents that don’t just analyse but act. This represents a significant evolution in enterprise AI, moving from insight generation to autonomous execution.
- Developing its proprietary Decision Intelligence LLM with deeper enterprise decision-making expertise. Large language models are increasingly commoditised, but Aily Labs is betting that a specialised LLM trained on enterprise decision patterns will provide competitive advantage.
- Strengthening long-term capital structure to sustain innovation and operational resilience as the company scales rapidly.
Meet Bianca Anghelina: The Founder Driving Aily Labs’ Vision
Bianca Anghelina founded Aily Labs in 2020 with a clear thesis: companies can no longer afford to wait for insights. They need AI that acts. Her vision was to build a platform that compressed the timeline from data to decision from weeks into minutes.
From Concept to $101 Million in Funding
In just five years, Anghelina has scaled Aily Labs from concept to a platform serving Fortune 500 companies across pharmaceuticals, retail, and consumer goods. The trajectory is particularly impressive given that the company initially bootstrapped before securing institutional funding.
“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,” Anghelina said in the funding announcement.
Leadership Team and Board
The company has attracted notable board members, including Amy Chang, who serves on multiple Fortune 50 company boards. Chang’s endorsement carries weight: “Aily bridges the gap between fragmented data and real-time decision-making through agentic AI. For leaders, that means what once took weeks now happens in minutes.”
The global team comprises AI data scientists, engineers, business strategists, and product specialists spread across the company’s offices in Munich (headquarters), New York, Barcelona, Madrid, and Cluj.
Aily Labs’ Product Suite: Six Modules Powering Enterprise Decisions
Rather than offering a one-size-fits-all solution, Aily Labs has built its platform around six specialised modules, each addressing specific business functions. This modular approach allows companies to start with their most pressing challenges and expand from there.
Finance: Forecasting and Resource Allocation
The finance module helps CFOs and finance teams improve forecasting accuracy and optimise resource allocation across the organisation. Given that financial planning often relies on outdated historical data, the AI’s ability to incorporate real-time signals represents a significant upgrade.
R&D: Accelerating Product Development
Research and development timelines are notoriously difficult to predict and manage. The R&D module helps teams optimise resources, prioritise projects, and accelerate product launch timelines by identifying bottlenecks and resource constraints before they become critical.
Supply Chain: Demand Forecasting and Inventory Optimisation
Perhaps one of the most immediately valuable modules, the supply chain function tackles demand forecasting, inventory optimisation, and stockout prevention. In an era of supply chain volatility, the ability to predict and respond to disruptions quickly can mean the difference between meeting customer demand and losing sales.
Manufacturing: Capacity and Equipment Optimisation
Manufacturing operations generate enormous amounts of data from sensors, production lines, and quality control systems. The manufacturing module analyses this data to optimise capacity utilisation and improve overall equipment effectiveness.
Quality: Real-Time Compliance Management
Quality assurance and compliance are critical, particularly in regulated industries like pharmaceuticals. The quality module provides real-time monitoring and management, helping companies maintain standards whilst reducing the manual overhead typically required.
Go-To-Market: Sales and Marketing Channel Optimisation
The go-to-market module helps sales and marketing teams optimise channel strategies, maximise conversion rates, and allocate budgets more effectively by analysing customer behaviour patterns and market signals.
Real-World Impact: How Fortune 500 Companies Use Aily Labs
The proof, as they say, is in the pudding. Aily Labs counts major pharmaceutical companies like Sanofi among its clients, alongside retailers and consumer goods manufacturers.
Measurable ROI in Under Two Weeks
The company’s claim of delivering measurable ROI within two weeks is bold, but investor backing and client renewals suggest it’s not empty marketing speak. The speed comes from the platform’s pre-built intelligence and rapid integration capabilities. Where traditional business intelligence implementations might take six to twelve months to show value, Aily Labs compresses that timeline dramatically.
According to investor testimonials, CEOs report making fundamentally different decisions because of the platform. These are decisions that save money, grow revenue, and transform operational approaches. That’s the kind of impact that justifies enterprise AI spend.
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Industry Applications
In pharmaceuticals, where R&D cycles are measured in years and regulatory compliance is paramount, Aily Labs helps companies optimise clinical trial timelines and resource allocation. For retailers facing volatile consumer demand and complex inventory challenges, the supply chain module provides predictive capabilities that prevent both stockouts and overstock situations.
Consumer goods companies use the platform to optimise everything from manufacturing capacity to marketing spend allocation, creating a unified view of performance across functions that previously operated in isolation.
The Future of Autonomous AI: Where Aily Labs Is Headed
The $80 million funding round isn’t just about scaling what exists. It’s about building towards a fundamentally different vision of enterprise AI.
Agentic AI and Decision Autonomy
Aily Labs is betting heavily on what it calls “agentic autonomy”. This refers to AI systems that don’t just recommend actions but execute them within defined parameters. This represents a significant evolution from current enterprise AI, which largely remains advisory.
Imagine a supply chain system that doesn’t just alert you to a potential stockout but automatically adjusts orders and reroutes inventory. Or a finance system that doesn’t just forecast budget overruns but reallocates resources proactively. That’s the direction Aily Labs is heading, and it’s genuinely transformative if executed well.
Global Expansion Plans
With operations currently focused in Europe and North America, the funding will support expansion into new markets and industries. The pharmaceutical, retail, and consumer goods sectors are just the beginning. Any industry with complex operations and abundant data could benefit from decision intelligence.
Aily Labs vs. Traditional Business Intelligence: What’s Different?
It’s worth understanding how Aily Labs differs from the business intelligence tools that companies have used for decades.
Traditional BI tools visualise historical data and generate reports. They’re fundamentally backward-looking, telling you what happened. Aily Labs is forward-looking and action-oriented, telling you what’s likely to happen and what to do about it.
The timeline compression is dramatic. What once required weeks of analyst time (pulling data from multiple systems, running analyses, presenting recommendations) now happens in minutes. The AI doesn’t get tired, doesn’t miss patterns, and processes vastly more variables than any human analyst could.
Perhaps most significantly, the platform moves from insight to execution. Traditional tools stop at recommendations. Aily Labs’ autonomous agents can act on those recommendations, closing the loop from analysis to action without human intervention where appropriate.
Looking Ahead
Aily Labs’ $80 million funding round positions the company at the forefront of a significant shift in enterprise AI: from systems that inform to systems that act. For Fortune 500 companies struggling to extract value from their AI investments, platforms like Aily Labs offer a compelling alternative to traditional approaches.
The company’s focus on measurable ROI, rapid deployment, and autonomous decision-making addresses real pain points that executives face. Whether Aily Labs can maintain its momentum as it scales globally remains to be seen, but the foundation appears solid, the technology differentiated, and the market opportunity substantial.
As enterprises continue their digital transformation journeys, the winners will likely be those who can compress the timeline from data to decision to action. Aily Labs is building the infrastructure to make that possible, and investors are betting $80 million that they’re right.