FunnelStory AI provides Customer SuperIntelligence by synthesizing structured and unstructured enterprise data into a Customer Intelligence Graph. This platform enables B2B teams to predict churn and expansion opportunities months in advance using mathematically validated signals. The system deploys AI agents to automate workflows, reduce manual busywork, and scale customer success operations without increasing headcount.
Funding
$3.1M raised to dateRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.



Founders
Product
Problem
Customer success and sales teams face challenges in retaining customers and driving revenue growth due to difficulties in analyzing complex post-sales data. Existing analytics platforms struggle to integrate diverse data sources, leading to delayed insights and reliance on outdated playbooks. This results in inefficient workflows, increased busywork, and a limited ability to proactively address churn risks.
Solution
FunnelStory provides an AI-powered revenue intelligence platform that transforms customer data into actionable insights, enabling teams to proactively manage customer adoption and protect revenue. The platform uses an agentic AI architecture to connect to enterprise data sources, build a unified knowledge graph, and generate customer superintelligence. By analyzing structured and unstructured data, including product usage, conversations, and business intelligence, FunnelStory identifies key drivers of churn and expansion. The platform's AI reasoning capabilities and customer journey mining techniques enable users to discover optimal customer journeys, predict churn with high precision, and automate tasks, ultimately improving customer success productivity and reducing surprise churn.
Target Audience
FunnelStory targets customer success, sales, and revenue teams within startups and enterprises that aim to improve customer retention, increase customer lifetime value, and drive revenue growth through data-driven insights.
Features
- AI-powered analysis of structured and unstructured data from various enterprise sources (CRM, data warehouses, meeting software, support systems, etc.)
- Customer journey mining using activity mining, machine learning, and Markov chains to discover growth loops and engagement drivers
- Predictive churn and expansion analysis with leading indicators identified 3-9 months in advance
- Conversational AI interface (Felix) for AI reasoning and search over revenue data
- Automated recommendations for digital nudges and AI tasks based on customer journey analysis
- Audience AI for targeted campaigns, including modeling ideal and weak customer segments
- Smart Funnels to identify choke points in the product adoption funnel and recommend effective nudges
- Integration with popular CRM, data warehouse, and communication platforms (Salesforce, Hubspot, Snowflake, Slack, etc.)
- Role-Based Access Control and detailed Audit Logging
- ISO27001, SOC 2 Type II and GDPR compliance