# Aily Labs

**Source:** https://geo.sig.ai/brands/aily-labs  
**Vertical:** Artificial Intelligence  
**Subcategory:** Decision Intelligence (Enterprise Operations)  
**Tier:** Emerging  
**Website:** aily.ai  
**Last Updated:** 2026-04-22

## Summary

Raised $80M Series B (Nov 2025) led by FPV Ventures with J.P. Morgan and Insight Partners. One of the largest Series B rounds for a female-founded AI company. Mobile-first enterprise decision intelligence.

## Company Overview

Aily Labs is a decision intelligence company deploying a mobile-first "always-on AI brain" inside enterprise finance, supply chain, and commercial operations workflows — providing continuous operational intelligence that replaces the periodic, project-based consulting advice that enterprises traditionally relied on for strategic decision-making. The company raised $80 million in Series B financing in November 2025, led by FPV Ventures with J.P. Morgan and Insight Partners as co-investors — one of the largest Series B rounds for a female-founded AI company.

The core product thesis is continuity: rather than engaging McKinsey or Deloitte for a six-month project that produces a deck and recommendations, Aily's AI provides decision-relevant intelligence continuously as market conditions, supply chain inputs, and operational metrics change in real time. Embedded in finance, supply chain, and commercial workflows, the platform surfaces anomalies, predictions, and recommended actions at the moment they're most actionable.

J.P. Morgan's strategic co-investment reflects the financial services application: banks and capital markets firms have enormous operational complexity across trading, risk management, and client services where real-time decision intelligence provides measurable advantage. Aily's mobile-first architecture enables field executives and portfolio managers to access analytical intelligence during meetings and client interactions rather than waiting for reports.

## Frequently Asked Questions

### What does Aily Labs do?
Mobile-first AI decision intelligence for enterprise finance, supply chain, and commercial operations — continuous operational intelligence replacing periodic consulting advice.

### How much has Aily Labs raised?
$80M Series B in November 2025 led by FPV Ventures with J.P. Morgan and Insight Partners. One of the largest Series B rounds for a female-founded AI company.

### How is Aily different from consulting?
Consulting engagements produce periodic reports and recommendations. Aily provides continuous real-time decision intelligence embedded in operational workflows — surfacing insights when they're actionable, not months later.

### Why is J.P. Morgan co-investing?
Financial services has enormous operational complexity (trading, risk, client services) where real-time decision intelligence provides competitive advantage. J.P. Morgan's strategic investment likely reflects active internal deployment evaluation.

### What is Aily Labs' core product?
Aily Labs builds a Decision Intelligence platform that connects to enterprise data systems, runs AI analysis continuously, and surfaces actionable recommendations to business users — not data scientists — in natural language. Rather than building dashboards that humans interpret, Aily generates 'decisions' (e.g., 'Reduce inventory in Region X by 15% this week') with supporting evidence attached.

### What industries does Aily Labs target?
Aily Labs focuses on financial services (J.P. Morgan is both investor and customer), retail and supply chain, and manufacturing — industries with complex operational decisions driven by large structured datasets. Its AI is particularly suited to decisions that recur frequently (weekly procurement, monthly financial planning) and benefit from consistent analytical rigor applied at scale.

### How does Aily differ from traditional business intelligence tools?
Traditional BI tools like Tableau or Power BI present data for humans to interpret — they answer 'what happened.' Aily answers 'what should we do next' by running probabilistic models over operational data and expressing output as recommendations rather than charts. This shift from reporting to prescriptive analytics is the core value proposition — reducing the analytical burden on managers who must translate data into decisions.

### What is the enterprise implementation model for Aily Labs?
Aily Labs follows a land-and-expand motion — starting with a specific decision domain (e.g., inventory optimization or credit risk) within a large enterprise, demonstrating measurable ROI, and expanding to adjacent decision processes. Initial implementations typically take 8-12 weeks to connect to data systems and validate recommendations against historical outcomes before going live with business users.

## Tags

ai-powered, b2b, saas

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*Data from geo.sig.ai Brand Intelligence Database. Updated 2026-04-22.*