Glassbox AI
Glassbox / glassbox.com
AI-powered digital experience analytics platform for financial services, retail, and insurance that provides session replay, journey analytics, AI struggle detection, and regulatory compliance-safe data capture.
Pricing
Free
Free plan
No
Category
Developer Tools
Platforms
3
Free plan
No
API access
No
Open source
No
Platforms
3
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What is Glassbox AI?
Glassbox is a digital experience analytics platform similar to FullStory and Contentsquare but with particular strength in regulated industries — financial services, insurance, and telecommunications — where strict data privacy and compliance requirements limit what digital analytics tools can capture.
Glassbox's privacy-first data capture is designed from the ground up for regulated environments — automatically excluding sensitive financial data, PII, and regulated fields from session capture without requiring manual field-by-field configuration. For banks and insurance companies where capturing customer financial information in analytics tools creates regulatory risk, Glassbox's compliant capture approach is a key differentiator.
AI struggle detection uses ML to identify user experience friction — rage clicks, error encounters, form abandonment, and session exits at critical moments — across the digital customer journey. For financial services companies where poor digital experiences drive call centre volume, struggle detection identifies the highest-priority UX improvements.
Journey analytics maps the actual paths customers take through digital products — revealing unexpected journeys, common paths to conversion and abandonment, and where customers deviate from intended flows. For complex multi-step financial services workflows (loan applications, account opening), journey clarity is operationally critical.
Session replay enables UX teams and call centre agents to replay specific customer sessions for qualitative investigation — understanding exactly what a complaining customer experienced without recreating the issue manually.
How Glassbox AI works
Glassbox AI runs as ml platform software built around data and text workflows. Users typically start with a prompt, upload, or connected data source, and the underlying model handles the heavy lifting before returning a result you can refine or export. It's available on web, ios, and android.
What makes it worth shortlisting
The capabilities that matter most for teams evaluating Glassbox AI.
Privacy-first capture
Automatically excludes sensitive financial data, PII, and regulated fields from session capture without manual configuration — designed for financial services regulatory compliance from the ground up.
AI struggle detection
ML identifies friction signals (rage clicks, errors, unexpected exits) across digital sessions at scale — surfacing highest-priority UX problems without manual session review.
Journey analytics
Maps actual customer paths through complex multi-step digital workflows — revealing unexpected journeys, abandonment points, and conversion paths in financial services applications.
Best use cases
Who should use it
Pros
- Privacy-first regulated industry design addresses compliance requirements that mainstream analytics tools don't meet
- AI struggle detection surfaces friction signals at scale without manual session watching
- Journey analytics for complex multi-step financial services workflows provides operationally critical visibility
- Session replay accessible to call centre agents provides context for complaint resolution
Cons
- Enterprise-only pricing appropriate for financial services organisations with dedicated digital analytics budgets
- Privacy-first capture occasionally excludes data useful for UX analysis — tradeoff of compliance design
- Competing with FullStory (rank 555) and Contentsquare (rank 558) for regulated industry digital analytics
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Is it worth the price?
Enterprise licensing. No public pricing. Annual contracts. Demo available.
Model
Enterprise
Starting price
Free
Free trial
Yes
Tools like Glassbox AI
Contentsquare (rank 558) provides broader digital experience analytics with some regulated industry features. FullStory (rank 555) provides session replay with configurable privacy. Hotjar (rank 556) provides accessible analytics without regulated industry focus.
Glassbox AI vs FullStory AI
A side-by-side look at the closest alternative in this category.
Glassbox AI
Glassbox
FullStory AI
FullStory
Enterprise licensing. No public pricing. Annual contracts. Demo available.
Business and Enterprise plans. Custom pricing based on sessions. No public pricing. 14-day trial.
SOC 2 Type II. ISO 27001. GDPR compliant. PCI DSS compliant. FCA and financial services regulatory compliance. Enterprise data handling agreements.
SOC 2 Type II. ISO 27001. GDPR compliant. CCPA compliant. PII auto-exclusion. Enterprise data handling agreements.
Digital session data captured with automatic PII and sensitive data exclusion. Compliant data handling designed for financial services regulatory requirements.
User session interaction data processed on FullStory's infrastructure. Automatic PII exclusion prevents sensitive form data from being captured. Review FullStory's privacy policy for user consent requirements.
- Privacy-first regulated industry design addresses compliance requirements that mainstream analytics tools don't meet
- AI struggle detection surfaces friction signals at scale without manual session watching
- Journey analytics for complex multi-step financial services workflows provides operationally critical visibility
- Session replay accessible to call centre agents provides context for complaint resolution
- AI frustration signal detection surfaces UX problems across all sessions without watching every recording
- DX Data API enables warehouse-level analysis combining session data with business data
- Automatic PII exclusion helps with privacy compliance without manual configuration
- Contentsquare acquisition creates a combined digital experience powerhouse
- Enterprise-only pricing appropriate for financial services organisations with dedicated digital analytics budgets
- Privacy-first capture occasionally excludes data useful for UX analysis — tradeoff of compliance design
- Competing with FullStory (rank 555) and Contentsquare (rank 558) for regulated industry digital analytics
- Enterprise-only pricing with session-volume-based costs that scale significantly for high-traffic applications
- Session data volume creates storage and analysis performance considerations at large scale
- Contentsquare (rank 559) is now Contentsquare's product suite — evaluate current roadmap post-acquisition
Technical & deployment info
Key facts about model providers, platforms, and team support.
Model Provider
Glassbox
Platforms
Web, iOS, Android
Deployment
SaaS, On-premise
Integrations
Salesforce, Adobe Analytics, Contact centre platforms, API
Team Collaboration
No
Launch Year
2022
Security & privacy
Compliance signals and data-handling notes as reported by the vendor.
SOC 2 Type II. ISO 27001. GDPR compliant. PCI DSS compliant. FCA and financial services regulatory compliance. Enterprise data handling agreements.
Digital session data captured with automatic PII and sensitive data exclusion. Compliant data handling designed for financial services regulatory requirements.
What users are saying
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Common questions about Glassbox AI
Editorial Verdict
Should you use Glassbox AI?
Glassbox is the best AI digital experience platform for financial services, insurance, and telecom companies needing compliant session replay and struggle detection that meets regulatory data capture requirements.
Last verified July 24, 2026.