Lucent provides an AI‑powered platform that automatically watches session replays to detect bugs and surface product insights. It generates detailed, context‑rich bug reports—including reproduction steps, console logs, and network requests—and delivers weekly analytics on app performance, highlighting problematic areas and actionable priorities for product teams. The service also lets users define custom behavior signals that the AI extracts from past and future sessions.
Funding
$1.3M 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
Product teams must manually review large volumes of session replays to find bugs and understand user behavior, which is time‑consuming and often leads to missed issues or delayed insights.
Solution
Lucent provides an AI‑driven platform that automatically watches every session replay, detects functional bugs, and extracts product intelligence. For each identified issue, the system generates a detailed report that includes reproducible steps, console logs, network requests, and a direct replay link, enabling engineers to fix problems quickly. Weekly automated reports summarize which parts of the application are performing well, which are problematic, and prioritize actions for the team. Users can also define custom “Signals” to monitor specific user behaviors, such as upgrade intent or feature requests, and receive alerts when those patterns appear. The platform integrates with common analytics and incident tools and offers an SDK for easy deployment, allowing teams to start capturing bugs and insights within minutes.
Target Audience
Primary customers are product managers, UX researchers, and engineering teams at SaaS companies that rely on session replay data to maintain product quality and accelerate development cycles.
Features
- AI engine that continuously scans session replays to identify bugs and user‑behavior signals without manual effort
- Automatic bug reports with step‑by‑step reproduction, console logs, network requests, and replay links
- Weekly insight reports highlighting functional strengths, problem areas, and actionable priorities
- Custom Signal creation to track specific user actions or intents across past and future sessions
- One‑click integrations with PostHog, Amplitude, Datadog, Sentry, Slack, Gmail, Linear, and AI assistants (Claude, Cursor, ChatGPT, Windsurf)
- SDK and API access for rapid setup and integration into existing workflows
- Tiered plans offering up to unlimited session volume, extended data retention, and enterprise‑grade security controls (SOC 2, SSO/SAML, on‑prem/VPC deployment)