Description
Gleap offers AI-powered support and self-driving development capabilities, employing AI agents designed to function like top-tier human teammates. These agents streamline workflows by resolving tickets, collecting user feedback, planning product development, and automatically transforming bug reports into actionable pull requests. This integrated approach ensures that support, product management, and engineering teams operate in a cohesive loop, allowing them to focus on future innovation.
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Specialist AI agents form the core of Gleap's offering, each excelling in a specific function. Kai AI handles routine tier-1 support across various channels and languages, aiming to resolve issues before human intervention is needed. Kai Resolve acts as an investigation and routing agent, analyzing technical data and ticket history to determine the optimal next step. Kai Code is the self-driving development agent, taking confirmed customer bugs or approved product specs and managing them through planning, building, and pull request creation. Kai PM functions as an AI product manager, consolidating feature requests, prioritizing the product roadmap, and overseeing the release notification process.
Beyond these core agents, Gleap provides Kai Custom Agents, a no-code builder that allows businesses to create bespoke agents for unique needs, connectable to over 1,000 integrations via Composio. This unified platform ensures shared context across all agents and adheres to high security standards, including SOC 2 Type 2 compliance and GDPR. Gleap is trusted by over 4,500 software teams worldwide, including notable companies like Microsoft and Squarespace, and is rated 4.6/5 on G2 for its ability to consolidate support, bug reporting, feedback, and roadmap management into a single, efficient platform.
The platform facilitates a seamless bug resolution loop, where a user's bug report is captured with technical data, categorized, and routed. Confirmed bugs are then processed by Kai Code, leading to a merged pull request and notification to the reporter upon release. Similarly, the feature loop begins with Kai PM gathering user feedback from various sources, transforming it into actionable insights, prioritizing feature requests on a public roadmap, writing specifications, and handing off approved work to Kai Code. Customers are kept informed throughout the process, with interactive changelogs and roadmap visibility.
Gleap offers a flexible pricing structure starting with a free 14-day trial. The Starter plan is designed for solo builders, including Kai AI support and essential features. The Team plan expands capabilities with unlimited seats and projects, while the Pro plan unlocks advanced AI agents like Kai PM, Kai Code, and Kai Resolve, along with discounts on AI tokens. Enterprise plans cater to larger organizations with enhanced security, compliance, and dedicated support.
- CategoryAI Help Desk Tools
- Pricing ModelUsage-based AI, Tiered Plans
- DeploymentCloud
- PlatformsWeb
Gleap's Core Features
AI agents for support, feedback, and development
Automated bug report to pull request workflow
Feature request consolidation and roadmap planning
Tier-1 support automation
Technical data capture for bug reports
User feedback analysis and prioritization
Public roadmap for transparency
Release notification for customers
No-code builder for custom AI agents
Integration with over 1,000 services via Composio
Shared context across AI agents
SOC 2 Type 2 compliance
GDPR compliance
14-day free trial available
How to use Gleap?
Configure AI agents: Set up specialist AI agents like Kai Resolve, Kai Code, and Kai PM.
Integrate feedback channels: Connect support, surveys, and direct requests for Kai PM to process.
Submit bug reports: Users report bugs via in-app reporting or support channels.
Automate development loop: Kai Resolve captures data, Kai Code plans and builds fixes, creating pull requests.
Manage roadmap: Kai PM prioritizes features based on feedback and updates the public roadmap.
Monitor support: Kai AI handles routine inquiries, escalating complex issues to relevant agents or humans.
Deploy updates: Track releases and notify customers when their reported issues or requested features are shipped.
Gleap's Use Cases
- Automated Support
- Bug Resolution
- Product Feedback Loop
- Roadmap Planning
- Self-Driving Development
- Customer Communication
- Custom Agent Creation
