Gleap
Customer support platform connecting conversations, bug reports, product feedback, and coding agents in one workspace.
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Product Overview
What is Gleap?
Gleap helps software teams manage customer support and turn reported issues into reviewed fixes. It combines a shared inbox, knowledge base, in-app bug reporting, surveys, and feature requests. Its Kai agents answer questions, investigate technical problems, recommend product priorities, and prepare code changes while keeping engineers responsible for review and release.
Key Features
Multichannel Support
Manage web and mobile chat, email, WhatsApp, Instagram, Messenger, Slack, and Telegram conversations in a shared inbox with customer history.
Knowledge-Based Answers
Kai Support answers questions using connected knowledge sources and hands conversations to teammates when human input is needed.
Context-Rich Bug Reporting
Capture screenshots, session replays, console logs, network requests, and device details through configured SDKs.
Investigation and Coding Agents
Kai Resolve investigates issues using technical evidence and read-only code access. Kai Code prepares changes, runs tests, and opens pull requests for review.
Feedback and Roadmap Management
Collect feature requests, votes, and subscribers on a public roadmap, with Kai PM recommending priorities based on customer demand and business goals.
Customer Engagement Tools
Deliver surveys, onboarding checklists, product tours, targeted messages, and release updates alongside ongoing support conversations.
Use Cases
- Routine Support Automation : Answer recurring product questions from existing documentation while routing complex or sensitive requests to support staff.
- Customer Bug Investigation : Give engineers customer-reported issues with diagnostic evidence, reducing repeated requests for screenshots and reproduction details.
- Ticket-to-Fix Workflows : Turn confirmed bugs into coding tasks and reviewable pull requests without separating the engineering work from the original conversation.
- Product Prioritization : Evaluate feature requests using votes, customer context, revenue signals, and company goals to guide roadmap decisions.
- Onboarding and Release Communication : Guide new users through setup, collect feedback, and notify affected customers when requested improvements or fixes are released.
FAQs
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