Quivly provides an AI‑native platform that consolidates usage, billing, and support data from sources like Snowflake, Stripe, Salesforce, and Zendesk into a live customer view. It delivers churn risk scores, renewal and upsell forecasts, and root‑cause alerts that integrate directly with existing SaaS tools, helping revenue teams prevent leakage and identify growth opportunities.
Funding
Funding not disclosed
Founders
Product
Problem
Revenue teams that rely on usage‑based pricing struggle with fragmented data across systems such as Snowflake, Stripe, Salesforce, and Zendesk, making it difficult to monitor real‑time usage, predict churn, and identify upsell opportunities.
Solution
Quivly offers an AI‑native platform that aggregates these disparate data sources into a single, continuously updated customer view. The platform applies machine‑learning models to generate churn risk scores, forecast renewals, upgrades, and credit burn, and surface expansion paths. Each alert includes root‑cause analysis that highlights the specific tickets, feature usage, or billing anomalies driving the score. By delivering actionable insights directly within the existing tech stack, Quivly enables revenue teams to protect their revenue streams and proactively pursue growth.
Target Audience
Primary customers are usage‑based revenue teams, including customer success, account management, and finance groups in B2B SaaS companies that need real‑time intelligence to manage churn and growth.
Features
- Unified data connector hub supporting Snowflake, Stripe, Salesforce, Zendesk, and additional sources with live, hourly refreshes
- AI‑driven churn risk and upsell scoring that updates with every usage event
- Hourly forecasts for renewals, upgrades, and cost overages to prevent revenue leakage
- Root‑cause analysis linking alerts to tickets, feature adoption, or billing anomalies
- Seamless integration with existing SaaS tools and workflows via APIs and native connectors