LangBot
Omnichannel AI Chatbot Orchestration for Enterprise Automation
Accelerate resolution times with AI-powered visual bug reporting and intelligent support documentation.
HelpZoom is a high-performance visual support and diagnostic platform designed to bridge the communication gap between end-users and technical support teams. In the 2026 landscape, HelpZoom has evolved from a simple screen-capture tool into an AI-orchestrated diagnostic engine. Its technical architecture leverages Chromium-based capture engines and WebRTC protocols to provide low-latency, high-fidelity video recordings and instant screenshots that are automatically enriched with deep metadata. Each session captured via HelpZoom automatically attaches critical system logs, network requests, console errors, and browser environmental data, allowing engineers to reproduce issues without manual back-and-forth. The platform's AI layer, 'ZoomAssist,' performs real-time sentiment analysis and generates structured troubleshooting summaries from video transcripts. By integrating directly into the CI/CD pipeline and helpdesk ecosystem (Zendesk, Jira, Salesforce), HelpZoom positions itself as an essential layer for enterprises looking to reduce Mean Time to Resolution (MTTR) while maintaining high customer satisfaction scores. It provides a secure environment with SOC2-compliant data handling and automated PII masking, making it suitable for regulated industries like FinTech and HealthTech.
Automatically attaches console logs, network requests, and DOM snapshots to every recording.
Omnichannel AI Chatbot Orchestration for Enterprise Automation
Empathetic Conversational AI and Video Bots for Enterprise Customer Engagement
Turn your databases and spreadsheets into intelligent conversational AI agents.
Empower customer service representatives with real-time generative AI insights and automated knowledge retrieval.
Verified feedback from the global deployment network.
Post queries, share implementation strategies, and help other users.
Generates structured bullet points from video transcripts using LLM processing.
Real-time blurring of sensitive input fields (credit cards, passwords) using computer vision.
Allows team members to draw and comment directly on specific video timestamps.
AI compares the recording with a 'baseline' UI version to highlight discrepancies.
Embed recordings directly into Zendesk tickets or Intercom chats with one click.
Enables background recording of user sessions for longitudinal UX research.
QA engineers spend 30% of their time documenting reproduction steps for developers.
Registry Updated:2/7/2026
Record is instantly pushed to Jira as a new ticket.
Non-technical users struggle to explain complex software issues.
Designers receive vague feedback like 'this doesn't look right'.