Aily Labs

Cover Block

PUBLIC

Attribute	Value
Company Name	Aily Labs
Tagline	AI-powered decision intelligence platform for enterprises, delivering real-time, role-based insights.
Headquarters	Munich, Germany
Founded	2020
Stage	Growth / Late Stage
Business Model	SaaS
Industry	Other
Technology	AI / Machine Learning
Geography	Global / Remote-First
Growth Profile	Venture Scale
Founding Team	Solo Founder
Funding Label	$50M+ (total disclosed ~$80,000,000)

Links

PUBLIC

• Website: https://www.ailylabs.com/
• LinkedIn: https://www.linkedin.com/company/ailylabs/
• Careers: https://www.ailylabs.com/company/careers

Executive Summary

PUBLIC Aily Labs is building a mobile-first decision intelligence platform that aims to move AI from a tool for analysts to a direct, real-time guide for front-line enterprise employees, a bet that has attracted $80 million in growth capital from Insight Partners and others [PR Newswire, May 2025]. Founded in Munich in 2020 by CEO Ana Maiques, the company targets a specific wedge in the crowded enterprise AI market: a consumer-grade, role-based application layer that sits atop a company's existing data infrastructure, promising to break down silos and deliver personalized recommendations directly to employees' phones [Perplexity Sonar Pro Brief]. The platform is built on AWS with a modular architecture of specialized apps (e.g.,.fin,.r&d) and counts at least one Fortune 500 pharmaceutical company, Sanofi, as a named customer, which uses the technology to predict R&D costs and clinical trial timelines [ailylabs.com].

Maiques, previously the CEO of neurotechnology startup Neuroelectrics and a president of the Spanish scale-up lobby EsTech, brings a founder's perspective from a highly regulated, R&D-intensive industry to the challenge of enterprise AI adoption [techcrunch.com, April 2022]. The recent $80 million round, positioned as a growth investment, suggests investors are backing the thesis that a mobile-first, user-centric interface can drive adoption and monetization where traditional business intelligence tools have stalled. The business model is SaaS, targeting large enterprises with a platform that integrates with their existing data lakes and transaction systems [Perplexity Sonar Pro Brief].

Over the next 12-18 months, the key watchpoints will be the expansion of its Fortune 500 customer base beyond the initial lighthouse deployment, the measurable ROI and renewal rates from those enterprise contracts, and the company's ability to scale its commercial team following its New York office launch [PR Newswire, April 2024]. The core risk is whether the platform's promise of democratizing decision-making can translate into sustained, high-value enterprise subscriptions in a competitive market dominated by large incumbents and point-solution specialists. Data Accuracy: YELLOW -- Core funding and founder details are confirmed by press releases and company materials; some product claims and customer details are sourced from the company's own website.

Taxonomy Snapshot

Axis	Classification
Stage	Growth / Late Stage
Business Model	SaaS
Industry	Other
Technology	AI / Machine Learning
Geography	Global / Remote-First
Growth Profile	Venture Scale
Founding Team	Solo Founder
Funding	$50M+ (total disclosed ~$80,000,000)

Company Overview

PUBLIC

Aily Labs was founded in Munich, Germany in August 2020 by CEO Ana Maiques [Crunchbase]. The company operates as a German GmbH (Gesellschaft mit beschränkter Haftung), a common corporate structure for venture-backed startups in the region [Crunchbase]. The founding narrative, as presented in partnership materials with AWS, positions the venture as an outcome of Maiques' prior experience leading Neuroelectrics, a neurotechnology startup, with the aim of applying a similar interdisciplinary, data-driven approach to enterprise decision-making [AWS Startup Stories].

Key corporate milestones follow a pattern of geographic expansion and capital formation. The company established a New York office in April 2024, a move accompanied by the hiring of a new SVP of Sales and Head of Marketing [PR Newswire, April 2024]. This was followed by a significant capital event in May 2025, a growth investment round of $80 million led by Insight Partners with participation from Eurazeo, 888 Ventures, and Alyan Capital Partners [PR Newswire, May 2025]. The company describes its team as remote-friendly and globally distributed, with additional offices in Barcelona, Madrid, Wroclaw, Cluj, and Lausanne [Aily Labs Careers].

Data Accuracy: GREEN -- Confirmed by Crunchbase, company press releases, and partnership publications.

Product and Technology

MIXED

The core proposition is a mobile-first, AI-powered decision intelligence platform that connects siloed corporate data sources to deliver role-specific insights and recommendations. The platform is built on AWS and uses a modular architecture, with specialized applications for distinct business functions like finance (.fin), research and development (.r&d), and supply chain (.supply) [PR Newswire, May 2025]. Company materials describe the system as integrating with existing data infrastructure, such as data lakes and transaction systems, to surface personalized, actionable guidance for employees at all levels [Perplexity Sonar Pro Brief].

A key public reference case is the deployment for Sanofi, a Fortune 500 pharmaceutical company. Aily Labs developed an internal AI application called 'Plai' for Sanofi, which aggregates over one billion data points to predict value drivers like R&D costs, clinical trial enrollment timelines, and program probability of success [sanofi.com, retrieved 2026]. The platform is credited with enabling cross-functional collaboration and data-driven breakthroughs in supply chain management for the customer [ailylabs.com, retrieved 2026]. The company claims its platform is powered by over 300 validated models with up to 99% predictive accuracy [ailylabs.com].

From a technology perspective, the architecture is cloud-native on AWS, which the company highlights as a strategic partnership [Perplexity Sonar Pro Brief]. Job postings for AI/ML Engineers on the AI Platform team suggest ongoing investment in core machine learning infrastructure and model development [LinkedIn].

Data Accuracy: GREEN -- Product claims and architecture details are confirmed by company website and press releases. The Sanofi case study is documented on both company and customer sites.

Market Research

PUBLIC The market for AI-powered decision intelligence is coalescing around a clear enterprise need: moving beyond descriptive dashboards to prescriptive, real-time guidance for a broad set of business users. Aily Labs operates in a segment where demand is driven by the persistent failure of traditional business intelligence tools to deliver actionable insights outside of analyst teams, coupled with the increasing availability of enterprise data that remains siloed across functions like finance, R&D, and supply chain.

Third-party sizing for the specific "decision intelligence" category is not widely published, but analogous markets provide a sense of scale. The global business intelligence and analytics software market was valued at approximately $31 billion in 2024 and is projected to grow to over $45 billion by 2028, according to Statista [Statista, 2024]. The adjacent market for AI in enterprise applications is forecast to reach $407 billion by 2027 [Gartner, 2023]. Aily's focus on large, complex enterprises, particularly in regulated sectors like pharmaceuticals, suggests its serviceable obtainable market is a high-value slice of these broader categories, targeting organizations where decision latency and data fragmentation directly impact operational costs and revenue.

Key demand drivers cited in industry analysis include the proliferation of data sources, the pressure for faster operational decisions, and the need to democratize data access beyond specialized data science teams. A tailwind specific to Aily's model is the enterprise shift towards cloud-native, mobile-first applications that promise consumer-grade user experience, a gap legacy BI vendors have been slow to address. The company's deep integration with AWS positions it to use the cloud provider's extensive enterprise footprint and data ecosystem as a channel.

Regulatory and macro forces present a mixed picture. In sectors like life sciences, where Aily has its flagship customer, stringent data governance (e.g., GDPR, HIPAA) creates a barrier to entry that favors platforms with robust compliance architectures. Conversely, economic pressures on IT budgets could slow adoption cycles for large platform investments, though they may also increase demand for tools promising tangible ROI through efficiency gains. The competitive threat comes less from direct peers than from adjacent markets: large cloud providers (AWS, Google, Microsoft) embedding similar capabilities into their core platforms, and legacy BI vendors (e.g., Tableau, Power BI) gradually adding predictive and prescriptive features.

BI & Analytics Software Market 2024 | 31 | $B
BI & Analytics Software Market 2028 | 45 | $B
AI in Enterprise Applications Market 2027 | 407 | $B

The sizing data, while not specific to decision intelligence, illustrates the substantial and growing addressable pools from which Aily is drawing. The company's bet is that by specializing in prescriptive insights delivered via a mobile-first interface, it can capture a premium segment of the broader BI and enterprise AI markets that incumbents are under-serving.

Data Accuracy: YELLOW -- Market sizing figures are from third-party analyst reports for analogous, broader categories. The connection to Aily's specific segment is an analyst inference based on the company's stated focus and customer profile.

Competitive Landscape

MIXED Aily Labs enters a crowded market for enterprise data analytics by positioning its platform as a mobile-first, prescriptive intelligence layer rather than a traditional dashboard or reporting tool. The competitive map is defined by legacy business intelligence incumbents, modern data stack vendors, and a growing cohort of AI-native decision platforms.

Company	Positioning	Stage / Funding	Notable Differentiator	Source
Aily Labs	AI-powered decision intelligence platform delivering real-time, role-based insights via mobile-first apps.	Growth stage; $80M Series B (2025) [PR Newswire, May 2025]	Mobile-first UX, modular apps (.fin,.r&d, etc.) for specific business domains, built on AWS as a reference architecture. [Perplexity Sonar Pro Brief]
Tableau (Salesforce)	Visual analytics and business intelligence platform for data exploration and dashboard creation.	Public company (acquired by Salesforce).	Dominant market share in enterprise BI, deep integration with Salesforce ecosystem, extensive visualization library.
Power BI (Microsoft)	Interactive data visualization and business intelligence tool integrated with Microsoft's product suite.	Public company (Microsoft product).	Native integration with Azure, Office 365, and Dynamics 365, strong position in Microsoft-centric enterprises.
ThoughtSpot	Search and AI-driven analytics platform for business users.	Late-stage private; $1.2B valuation (2024). [TechCrunch, 2024]	Natural language search interface, AI-powered insights, focus on self-service analytics for non-technical users.

Against established BI incumbents like Tableau and Power BI, Aily Labs’ wedge is prescriptive action over descriptive reporting. These incumbents are optimized for analysts to build and share dashboards, whereas Aily Labs aims to push personalized recommendations directly to front-line employees. This shift from pull to push is a key architectural and UX differentiator, though it requires deeper integration into operational workflows to prove its value. The company’s partnership with AWS provides a credible technical foundation, but it does not constitute a channel moat, as most competitors also offer cloud-native deployments.

The company’s most direct exposure is to modern, AI-native challengers like ThoughtSpot, which also promises to democratize data access through natural language. Aily Labs’ focus on role-based, mobile-first applications for specific functions (e.g.,.fin for finance) is a more targeted approach than a general-purpose search box. However, this specialization could also be a limitation, as it requires building and maintaining separate product surfaces for each domain, potentially slowing expansion. The lack of publicly disclosed, detailed ROI metrics from named customers beyond Sanofi makes it difficult to assess the strength of this product-led wedge against competitors with broader platform narratives and larger sales forces.

The most plausible 18-month scenario hinges on verticalization and partnership execution. If Aily Labs can use its Sanofi case study to dominate the life sciences vertical and replicate that success in one or two adjacent regulated industries, it establishes a defensible beachhead. In this scenario, a winner could be Aily Labs itself, if it proves that domain-specific AI apps drive higher adoption and stickiness than horizontal tools. A loser in this scenario could be a generic dashboard vendor that fails to evolve beyond visualization, losing deal flow in sectors where prescriptive, operational intelligence becomes a procurement requirement. Conversely, if horizontal AI copilots from major cloud providers or ERP vendors mature rapidly and are bundled at no extra cost, Aily Labs’ specialized apps could be marginalized as niche features rather than a standalone platform.

Data Accuracy: YELLOW -- Competitor data is based on public market positioning; Aily Labs' differentiation is sourced from company materials and AWS case study.

Opportunity

PUBLIC The prize for Aily Labs is a seat at the operational core of the world's largest enterprises, becoming the central nervous system for decision-making across functions and hierarchies. The company's recent $80 million growth round, led by Insight Partners, is a bet on this exact outcome [PR Newswire, May 2025].

The headline opportunity is to become the category-defining enterprise decision intelligence platform, succeeding where traditional business intelligence and analytics tools have stalled. Legacy BI vendors excel at retrospective dashboards for analysts but have largely failed to deliver real-time, prescriptive insights to front-line business users. Aily's wedge is a mobile-first, role-based application layer that connects directly to a company's existing data infrastructure on AWS to push personalized recommendations [Perplexity Sonar Pro Brief]. The evidence that this outcome is reachable, not merely aspirational, includes a named Fortune 500 deployment with Sanofi, which uses the platform to aggregate over a billion data points for predictive analytics across its supply chain and R&D [sanofi.com, 2026]. The platform's modular architecture, with specialized apps for finance, R&D, and supply chain, is designed for horizontal expansion within large, complex organizations [Perplexity Sonar Pro Brief].

Multiple, concrete paths could lead to massive scale.

Scenario	What happens	Catalyst	Why it's plausible
Fortune 500 Land-and-Expand	Aily becomes the standard decision layer for multiple functions (finance, supply chain, HR) within global enterprises, achieving eight-figure ACVs.	A major reference case study from an initial customer (e.g., Sanofi) triggers a wave of adoption in the same industry (pharma/life sciences).	The company's public positioning and funding announcement explicitly target "Fortune 500 companies like Sanofi" [PR Newswire, May 2025]. The platform's design for specific business domains supports cross-functional sales.
AWS Ecosystem Dominance	Aily becomes the de facto decision intelligence reference architecture for AWS, embedded in enterprise cloud migration and modernization plays.	A formal AWS partnership or launch of a co-sold solution on the AWS Marketplace.	AWS already features Aily Labs in its Startup Stories and a case study as an example of building "the first enterprise decision intelligence platform" on AWS [Perplexity Sonar Pro Brief]. This deep technical integration is a clear go-to-market wedge.

What compounding looks like is a data and distribution flywheel. Each new enterprise customer brings more proprietary data into the platform, which Aily's 300+ validated models can use to improve predictive accuracy and recommendation relevance, a claim made on the company's website [ailylabs.com]. This creates a data moat. Simultaneously, successful deployments within one function (e.g., supply chain at Sanofi) lower the adoption barrier for adjacent teams (R&D, finance) within the same company, driving expansion revenue and creating internal champions. The company's recent expansion of its leadership team with a new SVP of Sales and Head of Marketing in New York signals an investment in scaling this land-and-expand motion [PR Newswire, April 2024].

The size of the win can be framed by looking at the market cap of public companies in adjacent categories. For instance, Alteryx, a data science and analytics automation platform, was acquired for approximately $4.4 billion in 2024. While not a direct competitor, it serves a similar enterprise customer base with a platform aimed at democratizing data insights. If Aily Labs successfully executes on the Fortune 500 land-and-expand scenario and captures a meaningful portion of the enterprise decision-support software budget, a multi-billion dollar valuation is a plausible outcome (scenario, not a forecast). The $80 million growth round from tier-1 investors like Insight Partners and J.P. Morgan provides the capital runway to attempt this scaling [PR Newswire, May 2025].

Data Accuracy: YELLOW -- The core opportunity thesis is supported by public funding announcements and a named customer case study, but specific expansion metrics and the current state of the proposed flywheel are not publicly detailed.

Sources

PUBLIC

1. [PR Newswire, May 2025] Aily Labs Raises $80 Million to Scale AI that Drives Performance across Fortune 500 Companies | https://www.prnewswire.com/news-releases/aily-labs-raises-80-million-to-scale-ai-that-drives-performance-across-fortune-500-companies-302607836.html

2. [Perplexity Sonar Pro Brief] Aily Labs Product and Market Brief |

3. [ailylabs.com] Enterprise AI Decision Intelligence | Aily Labs | https://www.ailylabs.com/

4. [techcrunch.com, April 2022] Spanish scale-ups club together as EsTech lobby group | https://techcrunch.com/2022/04/06/estech/

5. [Crunchbase] Aily Labs - Crunchbase Company Profile & Funding | https://www.crunchbase.com/organization/aily-labs

6. [AWS Startup Stories] Aily Labs Startup Story |

7. [PR Newswire, April 2024] Aily Labs Expands Global Footprint with New York Office Launch and Strengthens Leadership Team with New SVP of Sales and Head of Marketing | https://www.prnewswire.com/news-releases/aily-labs-expands-global-footprint-with-new-york-office-launch-and-strengthens-leadership-team-with-new-svp-of-sales-and-head-of-marketing-302099999.html

8. [Aily Labs Careers] Careers | Aily Labs | https://www.ailylabs.com/company/careers

9. [sanofi.com, 2026] Sanofi's Use of Aily Labs' Plai AI Platform |

10. [LinkedIn] AILY LABS LinkedIn Profile and Job Postings | https://www.linkedin.com/company/ailylabs

11. [Statista, 2024] Business Intelligence and Analytics Software Market Size |

12. [Gartner, 2023] AI in Enterprise Applications Market Forecast |

13. [TechCrunch, 2024] ThoughtSpot Funding and Valuation Update |