Clearpane is an operational observability platform for revenue teams that ingests data from CRM, billing, planning, and product systems, correlates it into a unified graph, and uses AI agents to detect anomalies, forecast outcomes, and trigger actions before pipeline issues arise. It offers sub‑second data sync via connectors for tools like Salesforce, HubSpot, and Stripe, providing RevOps leaders real‑time insight and automated remediation.
Funding
Funding not disclosed
Founders
Product
Problem
Revenue operations teams often lack real‑time visibility into how data from CRM, billing, planning, and product systems interact, making it difficult to detect drops in conversion, forecast shortfalls, or root causes of pipeline disruptions before they impact revenue.
Solution
Clearpane delivers operational observability for the revenue engine by ingesting streaming data from sources such as Salesforce, HubSpot, Stripe, data warehouses, and planning sheets with sub‑second synchronization. The platform builds a unified entity graph that resolves identities across systems, tracks event lineage, and presents a single control pane for RevOps leaders. AI‑powered agents continuously monitor the graph, surface time‑series anomalies, generate probabilistic forecasts, and suggest root‑cause explanations using LLM analysis. When an issue is detected, the agents can trigger automated alerts and remediation actions in Slack, email, or other channels, enabling teams to act instantly. End‑to‑end encryption with bring‑your‑own‑key support ensures data security throughout the pipeline.
Target Audience
Primary customers are RevOps leaders and revenue analytics teams in mid‑market to enterprise SaaS companies that need unified, real‑time insight across their revenue stack.
Features
- Streaming connectors for major CRM, billing, and planning tools with CDC, webhook, schema‑drift detection, and backfill orchestration
- Unified entity graph that resolves identities, maintains event timelines, and provides lineage tracking across all revenue sources
- AI layer delivering time‑series anomaly detection, probabilistic revenue forecasting, and LLM‑driven root‑cause analysis
- Configurable agents that generate real‑time alerts (e.g., deal slip watcher, forecast tracker) and can trigger automated remediation workflows
- Sub‑second data sync and high‑scale architecture designed for latency‑sensitive revenue workloads
- End‑to‑end encryption with optional bring‑your‑own‑key (BYOK) for enterprise security compliance