Conviva provides a consumer‑perspective analytics platform that captures full‑census, client‑side telemetry from every interaction on apps, websites, and AI agents. Its real‑time engine surfaces behavioral patterns, intent signals, and performance issues through unified dashboards and alerts, enabling product, engineering, support, data, marketing, and AI‑agent teams to make data‑driven decisions that improve user experience and reduce costs.
Funding
$40M raised to dateRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.

Founders
Product
Problem
Digital products and AI agents often lack comprehensive, real‑time visibility into how users actually behave and what they intend to do, making it difficult for teams to optimize performance, prioritize features, and reduce support costs.
Solution
Conviva delivers a consumer‑perspective analytics platform that captures full‑census, client‑side telemetry from every interaction on apps, websites, and AI agents. The platform processes this data to surface behavioral patterns and intent signals, providing teams with real‑time insights into user experience, performance bottlenecks, and engagement drivers. By exposing these insights through unified dashboards and alerts, Conviva enables engineering, product, support, data, marketing, and AI‑agent teams to make data‑backed decisions that improve app speed, increase ratings, reduce resolution time, and focus development on features that matter to users.
Target Audience
Primary customers are engineering, product, customer support, data, marketing, and AI‑agent teams at companies that operate consumer‑facing apps, websites, or conversational AI agents.
Features
- Full‑census client‑side data collection that records every user interaction without sampling
- Real‑time analytics engine that identifies behavioral patterns, intent, and engagement trends across apps, websites, and AI agents
- Unified dashboards with customizable visualizations for performance, user experience, and support metrics
- Predictive alerts that highlight potential issues such as performance degradation or emerging support tickets
- Integration points for engineering, product, support, data, marketing, and AI‑agent workflows
- API access for exporting insights into existing BI, monitoring, or A/B testing tools