Gleap's AI agents resolve tickets, collect feedback, plan product work, and turn bugs into pull requests, so support, product, and engineering move in one loop.
A user reports a bug. Kai Resolve captures technical data like console logs and screenshots, then automatically categorizes and routes issues so engineering can understand recurring patterns faster. Confirmed bugs enter Kai Code plan mode, then build mode, then a pull request. The reporter gets notified when it ships. That keeps the support team and engineering aligned across websites and mobile apps.
From feature request to shipped feature
Kai PM reads user feedback from direct requests, votes, surveys, support themes, and product gaps routed by Kai Resolve. It turns that input into actionable insights for product teams, prioritizes feature requests into a branded public roadmap for transparency, writes the spec, hands approved work to Kai Code, then notifies askers after release. Users can view the roadmap, and interactive changelogs let them react and comment on each release.
80% answered before anyone reads it
Kai handles routine tier-1 support across channels and languages. When an issue needs investigation, Kai Resolve routes it to Kai Code, Kai PM, a safe operational action, or a Gleap Inbox Task for a human.
Real outcomes from Gleap customers
Inbound support handled by Kai
Commonplace uses Gleap for feedback, support, knowledge base, roadmap work, JIRA, HubSpot, and Kai-powered first-line support.
50-60%
Setup and migration
Salesforge imported contacts and help center articles in minutes, then moved support, roadmap, news, outreach, and Slack into one workspace.
<1 day
To full integration
Partfox moved from restrictive per-seat tooling to live chat, AI support, feedback, product tours, checklists, and surveys.
10 days
Customer communication platform
Tridonic centralized tickets, surveys, AI chat, product tours, tooltips, settings, reports, and support workflows in Gleap.
1
Meet the agents
Specialist AI agents working together
Kai
AI support agent. Resolves routine inbound conversations across channels, with usage billed by actual tokens.
Kai Resolve
Investigation and routing agent. Uses MCP, tools, source context, read-only data, APIs, and ticket history to decide the next best step.
Kai Code
Self-driving development agent. Customer bugs and approved specs enter plan mode, build mode, and pull requests.
Kai PM
AI product manager. Clusters feature demand, prioritizes the roadmap, hands specs to Kai Code, and closes the release loop.
Kai Custom Agents
No-code builder for any agent your business needs. Connects to 1,000+ integrations via Composio.
One platform
Shared context across agents. SOC 2 Type 2. GDPR. Unlimited seats on Team.
To full integration
10 days
Partfox fully integrated Gleap with custom data in 10 days, adding live chat, AI support, feedback, product tours, checklists, and surveys.
How is Gleap different from Intercom, Zendesk or Help Scout?
Those tools stop at the support ticket. Gleap doesn't. When a customer reports a bug through website feedback or in-app bug reporting, Kai Resolve investigates and Kai Code turns the confirmed issue into plan mode, build mode, and a pull request. When they request a feature, product feedback software and Kai PM cluster demand, prioritize the roadmap, hand the approved spec to Kai Code, and notify customers when it ships. You're not paying for five tools - you're paying for one loop.
What does "AI agents working together" actually mean?
Specialist agents that share context, each built for a distinct job: Kai handles tier-1 support. Kai Resolve investigates complex issues and routes the next step. Kai Code turns confirmed bugs and approved specs into pull requests. Kai PM turns feature demand into prioritized specs, release notes, and customer notifications. Kai Custom Agents is the no-code builder for whatever else your business needs. The agent set will keep growing.
How does Kai compare to Intercom Fin or Zendesk AI?
Different pricing models: Fin charges $0.99 per resolution. Kai is billed by actual token usage - on average about $0.04 per message - so you pay for the AI work performed instead of a per-resolution success fee. Team uses Auto as the model choice; Pro unlocks all AI models. Both target the same ~80% deflection rate.
Can I use my existing local coding agents?
Yes. Kai Code runs in Gleap Cloud with frontier and open-source models, and can also use your local Claude Code, Codex, or OpenCode setup. Pull requests land in GitHub, GitLab, or Bitbucket. Jira and GitHub Issues can stay in sync for status and planning, but Kai Code is where the implementation work happens.
Is there a free trial?
Yes - 14 days. You can test the AI agent platform and the same product 4,500+ teams use in production. AI usage is billed by actual tokens.
How does pricing scale?
Starter includes Kai AI support, live chat, in-app bug reporting, feature roadmap, knowledge base, one teammate, and one project. Team is $149/mo with unlimited seats and projects, all support channels, custom domains, third-party integrations, outbound messaging, and Auto as the model choice. Pro is $299/mo and adds custom agents, 25% off on AI tokens, all AI models, Kai PM, Kai Code, and Kai Resolve. Enterprise adds SOC 2 Type II, SSO, BYOK, custom MAU limits, dedicated CSM, priority support, and custom SLA. No per-seat tax and no per-resolution success fee.
Is Gleap SOC 2 and GDPR compliant?
Yes. SOC 2 Type II audited. GDPR-compliant with EU data residency available on Enterprise. DPA on request.
How long does setup take?
Most teams are live in under a day. Drop the SDK in your app, point Kai at your help center and codebase, and it's running. Migration helpers for Intercom, Zendesk, Canny, and Instabug shorten the switch further.
Live chat, AI support, feedback, tours, checklists, and surveys in one place.
Partfox moved from restrictive per-seat tooling to Gleap, fully integrated custom data in 10 days, and unlocked user engagement without every new feature becoming another budget decision.