AI customer support software, in one system.

Gleap is AI-native customer support for software teams: one platform connecting support, feedback and coding agents. For software teams, it brings customer conversations, in-app bug reports with session replay, feature requests, a knowledge base, surveys and customer messaging into one workspace, with the Kai agents working on that shared context. A report can end in an answer, an investigation with evidence or a reviewed pull request, without leaving the ticket.

AI customer support software, also called AI customer service software, is a help desk where AI takes on part of the work: an AI agent answers customers from your knowledge, and AI tools route and tag tickets, summarize customers and draft replies for the team. In Gleap, Kai Support answers on every plan, AI ticket assignment and tagging run as workflow steps, and Kai Copilot writes replies and sends them on a teammate's yes, on every plan.

The agents work on the full customer context, not only on a knowledge base. Kai Support answers from your help center and connected sources and, on the hard tickets, investigates with logs, the click trail and read-only code access. Kai Code turns confirmed bugs into pull requests. Gleap continues past the handover to the fix. The inbox, workflows and SLA policies (Pro) of an AI help desk are part of the same workspace.

Tickets connect the conversation with customer records, linked requests and past tickets. SDK reports can also include session replay, logs, device details and custom app data, depending on your configuration.

Kai Support answers every conversation and brings the team in when needed. On Team and up, it investigates the hard tickets on the boards you choose and returns its findings with evidence. Kai Copilot works beside your team on every page: it proposes replies and sends them when you say yes, drafts articles, explains reports, sets Gleap up, asks before a risky change and drafts the changelog. Kai Code turns approved work into plans, code changes and pull requests that engineers review and merge. When an agent needs a decision, it asks with one card. Together they close the loop from report to release.

Not without your team's review. Most reports end in an answer or a human decision. A confirmed bug becomes a coding task in the ticket that Kai Code starts on its own when you allow it, or a teammate picks up or sends back. The pull request is reviewed and merged by your engineers, and by default a teammate confirms the fix is live before the customer is notified.

The Gleap widget for web and mobile apps, email, WhatsApp, Instagram, Facebook Messenger, Slack and Telegram land in one inbox. Starter covers live chat; email and the messaging channels need Team. Every conversation becomes a ticket with the customer's history. The multichannel support platform page covers channels, assignment and routing in detail.

Yes. Gleap is customer support software for software and SaaS teams that support customers inside their product: SDK reports can include replay and logs, the knowledge base feeds Kai Support, and confirmed bugs flow to engineering. For the support basics, see the AI help desk for the inbox, workflows and SLA policies (Pro), and the multichannel customer support platform for channels, assignment and routing.

Zendesk, Intercom and Freshdesk are established help desks with their own AI agents. Gleap covers the same support basics (a shared inbox, live chat, email and messaging channels, a knowledge base and an AI agent) and connects them to your product: in-app bug reports with logs, feature requests with votes and, on Team and up, Kai Support investigating hard tickets with read-only access to your code and Kai Code opening pull requests your engineers review. Seats are unlimited from Team, and Kai Support is billed by the AI it uses: we estimate under $0.05 per resolution, against $0.99 for Intercom Fin (how we estimate). Compare the details for Zendesk, Intercom and Freshdesk.

For customer-reported work, yes. In-app bug reporting captures the evidence engineers need, product feedback collects requests with votes and subscribers, and both live next to the conversation. Native integrations send tickets to Jira, Linear, GitHub and others when your engineering workflow lives there.

Yes. The integration directory lists native integrations and Composio connectors, custom agents use configured API and MCP tools, and the Gleap MCP server brings your tickets, contacts and help center into Claude, Codex, Cursor and other MCP clients.

Yes. Kai Copilot merges duplicate requests, links each to the customers who asked and their revenue, and answers what to build next on the roadmap; your team decides what gets built. This roadmap and changelog work and the public roadmap need Team. See your AI product manager.

Gleap Starter is $29 per month billed annually ($35 monthly), with Kai Support, Kai Copilot, live chat and in-app bug reporting for one seat. Team is $149 per month billed annually ($179 monthly) with unlimited seats and projects, seven support channels, every Kai agent and Kai Voice; Pro at $299/month adds LLM model choice, advanced reports, custom roles and permissions, the SOC 2 report, higher limits and priority support, plus a $500 AI credit a year on yearly billing. Enterprise starts at $999 per month billed annually. Every plan starts with a 7-day free trial. Kai Support and Kai Copilot work on every plan; investigations and Kai Code come with Team. AI usage is paid separately: we estimate under $0.05 per Kai Support resolution. See pricing for the full comparison.

The trust center covers SOC 2, GDPR, data residency and the security overview. When Kai Support investigates, it reads code read-only in a sandbox, and destructive tools, such as deletes and refunds, are blocked. Custom agents can use only the tools you attach to them.

Self-driving development is the category Gleap works toward: customer reports get findings with evidence, confirmed bugs become reviewed pull requests, and customers hear back after the release, with your team deciding at each step. Read the full definition at self-driving development.

Install the SDK or connect email, publish a few help articles and let Kai Support answer the questions you already know. On Team and up, turn on the Investigate bugs skill so Kai Support investigates new bug reports, and connect a repository when you want confirmed bugs to become pull requests. Talk to us about migrations and repository setup.