ELU
Elu is a product intelligence platform that continuously monitors real user behavior to automatically detect bugs, UX friction, latency issues, and other problems traditional analytics miss. It provides product teams with a direct path from investigation to resolution, including code-level fix previews and AI agents that can generate proposed fixes or pull requests. The platform supports cloud, private, or fully on-premises deployment, allowing session data to remain entirely within the customer's environment.
- Data & Analytics
- Developer Tools
- Artificial Intelligence
- AI Agents
- Software Only
Funding
Funding not disclosed
Founders
Founder details are not available yet.
Product
Problem
Traditional analytics and session replay tools capture what users do but often miss critical issues like UX friction, silent failures, latency, and feature problems. Product teams waste significant time combing through analytics dashboards and session recordings to identify and diagnose these issues, delaying improvements and slowing product iteration.
Solution
Elu is a product intelligence system that continuously monitors real user behavior to automatically detect bugs, UX friction, latency issues, and other problems that traditional analytics overlook. It gives product teams a direct path from investigation to resolution, including code-level fix previews so developers can see exactly what needs to change. Elu connects to the tools teams already use, and its agents can generate proposed fixes or pull requests. The platform supports cloud, private, or fully on-premises deployment, letting session data remain entirely within the customer's environment.
Target Audience
Product teams at software companies who need to understand how users experience their products, identify friction and bugs, and resolve issues quickly without spending excessive time on manual analysis.
Features
- Automatic detection of bugs, UX friction, confusing flows, latency, silent failures, feature problems, and behavioral issues
- Fix Preview with code change suggestions (e.g., wrapping a component in an error boundary) to accelerate resolution
- Session recordings with selected replay frames, funnels, cohorts, feature usage, and behavioral pattern analysis
- AI agents that run recurring or on-demand investigations, summaries, alerts, and reports
- Integrations with Slack, Jira, GitHub, Linear, PostHog, Amplitude, Mixpanel, Supabase, Claude, and Codex
- PII masking and data capture controls to protect sensitive session information
- Deployment options including cloud, private, or fully on-premises with data staying in the customer's environment
- APIs, MCP (Model Context Protocol) server, SDKs, analytics loader, and browser extension for flexible integration