Traditional product analytics platforms require extensive event instrumentation, which is prone to breaking when product code is updated, leading to delayed identification of user friction. This inflexibility means critical issues in user flows, such as onboarding, can go unnoticed for months.

Prism AI offers an AI-native product analytics platform that analyzes session replays to automatically identify user behavior patterns and friction points without requiring manual event tracking. The platform leverages vision models to interpret user interactions within session recordings, providing actionable insights into what needs to be fixed. Users can semantically query session data to understand pain points or rely on the AI's automated generation of insights, including the root cause and recommended solutions. This approach enables product teams to gain immediate visibility into user experience issues and make data-driven improvements efficiently.

AI-powered analysis of session replays to detect user friction and behavioral anomalies.

Semantic search functionality allowing natural language queries of session data.

Automated insight generation that identifies issues, affected user segments, and resolution steps.

Integration with existing tools like Posthog and Sentry, or use of a proprietary recording player SDK.

No requirement for manual event instrumentation, ensuring continuous data integrity.

Cloud-based platform with a web dashboard for accessing insights and session data.

Data retention options including 30-day retention on the Free plan.

The primary customers are product teams, including developers and product managers, who need to understand user behavior and identify usability issues within their web applications.

Prism AI offers a tiered pricing model: a Free plan with no credit card required for up to 5,000 sessions, and a Usage-Based plan at $0.05 per session for unlimited sessions.