Glassbox
AI-driven digital experience analytics with autonomous anomaly detection.
About
Glassbox is a digital experience analytics platform that captures every user session across web and mobile, then applies AI to turn that behavioral data into prioritized insight. It combines session replay, real-time alerts, accessibility checks, and fraud prevention signals with AI-powered analysis that flags friction, performance drops, and conversion declines.
In November 2025 Glassbox acquired Anodot, a provider of autonomous business monitoring built on unsupervised machine learning, and began embedding its anomaly detection engine to catch granular shifts in user behavior without manual thresholds or data science expertise. The company serves large enterprises in regulated industries, with customers including major banks and fintechs, and positions the combined platform as an early-warning system for customer friction and revenue risk.
What it can do
- 100 percent user session capture across web and mobile
- AI-powered insights flagging friction and conversion risk
- Anodot ML anomaly detection with no manual thresholds
- Real-time alerts with workflow integrations for fast response
- Accessibility and fraud signal detection built in
Setup
Deploy the Glassbox tag or SDK on web and mobile properties; enterprise onboarding via the sales team.
Prerequisites
Digital properties with meaningful user traffic; analytics or product team to act on insights.
Use cases
Works with
Trust score — 8/10
Scored 8/10 (verified tier, metrics-v1). Evidence: Verified via vendor site/docs/GitHub and reputable coverage, wave 125; Trending score 76/100 from researcher assessment.
Sources
Every fact above was checked against these sources. Where a claim comes from the provider and couldn't be independently verified, the text says so.