Cekura provides an automated documentation validation platform that lets product teams upload their existing user guides, then uses a browser‑based agent to navigate the live application and detect mismatches. The service records session replays, generates concise summary reports, and leverages LLM analysis to offer contextual explanations and suggested fixes, helping teams keep their documentation accurate with minimal manual effort.
Funding
$500K 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 often struggle to keep their user-facing documentation synchronized with the actual behavior of their applications, leading to outdated guides, user confusion, and increased support workload.
Solution
Cekura offers an automated documentation validation service that ingests existing docs and uses a browser-based agent to navigate the live product, checking for discrepancies between the written material and the current UI. The platform records session replays and generates actionable summaries that highlight mismatched steps, missing information, and outdated screenshots. Integrated large language model (LLM) analysis provides contextual explanations and suggested fixes, while detailed browser action traces help developers pinpoint the exact location of issues. By delivering concise reports and visual evidence, Cekura enables teams to maintain accurate documentation with minimal manual effort.
Target Audience
Primary customers are product managers, technical writers, and development teams responsible for maintaining user guides, help centers, and onboarding materials for web applications.
Features
- Upload documentation in its original format without requiring restructuring
- Browser agent that programmatically interacts with the product to verify documented flows
- Session replay recordings that capture the agent’s navigation for visual review
- Automated summary reports identifying out-of-sync sections and missing steps
- LLM-powered explanations and recommended corrections for detected issues
- Detailed browser action logs tracing clicks, inputs, and page states