Gleap
UnclaimedAI-powered customer support OS that turns feedback into product intelligence.
Visit WebsitePaidVisit Website
TL;DR - Gleap
- AI-powered customer support with instant ticket resolution.
- Transforms customer feedback into product development insights.
- Unifies support, onboarding, and product building in one platform.
Pricing: Paid only
Best for: Enterprises & pros
Pros & Cons
Pros
- Significantly reduces customer wait times and resolves up to 80% of requests automatically with AI.
- Provides a unified platform for support, onboarding, and product feedback, streamlining workflows.
- Offers advanced AI capabilities including custom tools and tasks via API for app settings, order details, etc.
- Cost-effective compared to alternatives like Intercom, especially for teams scaling support.
- Seamless handover from AI to human agents for complex cases.
Cons
- AI costs are additional and vary based on usage and LLM choice.
- Requires integration with existing knowledge bases and data sources for optimal AI performance.
- Specific pricing details for different tiers beyond the comparison example are not explicitly listed.
Preview
Key Features
AI agents (Kai)AI Copilot for human agentsLive chatKnowledge baseIn-app bug reportingSurveysEmail campaignsProduct tours
Pricing Plans
Free TrialHobby
$39/mo
- 1 team member
- 1 project
Team
$149/mo
- Unlimited team members
- Unlimited projects
- Custom domain
- Third-party integrations
- Remove branding
Enterprise
from $999/mo
- Unlimited team members
- Unlimited projects
- Custom domain
- Third-party integrations
- Remove branding
- API access
- High-priority support
- Dedicated CSM
- SLAs
About Gleap
By Toolradar Team·
Gleap is an AI-powered customer support operating system designed to close the support feedback loop and transform customer interactions into actionable product insights. It offers AI agents to instantly resolve tickets, in-app video calls for real-time support, and tools to convert feedback directly into features for product development.
This platform is built for high-growth companies, particularly SaaS businesses and product builders, who want to scale their support efficiently while staying close to their customers. It integrates support, onboarding, and product building functionalities into a single unified platform, enabling teams to answer customer questions quickly, guide users to 'aha' moments, and use accurate user data to inform their product roadmap. Gleap aims to provide a comprehensive solution for managing customer experience, from initial support to continuous product improvement, at a competitive cost compared to traditional support tools.
How we evaluate tools →Source: gleap.io
Reviews
No reviews yet. Be the first to review Gleap!
Best Gleap Alternatives
Top alternatives based on features, pricing, and user needs.
Explore More
Gleap FAQ
How does Gleap's AI agent, Kai, handle complex customer inquiries that it cannot resolve automatically?
When Kai encounters complex cases that require human intervention, it seamlessly hands off the conversation to a human support team. This ensures that customers receive personalized service for intricate issues, allowing support specialists to focus on higher-level problem-solving.
What specific AI models does Gleap's Kai agent support for generating responses?
Kai supports a range of advanced AI models, including Claude Sonnet 4.6, Claude Opus 4.6, Gemini 3 Pro, OpenAI GPT-5.2, OpenAI GPT-5.1, OpenAI o4-mini, and xAI Grok 4. This diverse selection allows for flexible and powerful AI-driven customer interactions.
Beyond answering questions, what automated actions can Kai perform by integrating with third-party systems?
Kai can execute custom tools and AI tasks by connecting to third-party systems via APIs. This functionality allows it to perform actions such as toggling settings within an application, retrieving order details, or canceling subscriptions, providing a more comprehensive automated support experience.
What types of data can be used to train Kai, the AI support agent?
Kai can be trained using various data formats, including PDFs, text snippets, Q&A content, and websites that Gleap crawls. Additionally, it can connect to external systems through APIs to gather more comprehensive information for its knowledge base.
How does Gleap differentiate its pricing for AI answers compared to competitors like Intercom?
Gleap charges $0.04 per AI answer, while Intercom charges $1 per resolution. This difference in pricing model and cost per interaction highlights Gleap's focus on providing a more cost-effective solution for AI-powered customer support.
Source: gleap.io