Marketplace deployment — publish and meter on AWS, Azure, GCP
Define your Licenses and Entitlements once: Kaiten prepares and publishes the marketplace listing with you, then provisions on purchase — Customer, License, Entitlements, and Instance created...
Kaiten Edge — works offline
Run an autonomous Kaiten agent inside air-gapped or self-hosted environments. It serves flags and entitlements with no connection to the cloud, then reconciles usage through a signed, tamper-proof...
Feature Catalog & Lifecycle — every capability becomes an object
Declare each product capability as a Feature and run it through one lifecycle: PLANNED → ALPHA → BETA → GA → DEPRECATED → ARCHIVED. A Feature links to the entitlements that sell it and the flags that...
Community templates, benchmarks & Skills registry
License templates by industry, anonymized usage benchmarks, AI pricing templates by vertical, and a community-driven registry of MCP Skills by framework and use case. The more the platform is used,...
Feature Campaigns — was this a good idea?
A time-boxed overlay on the Feature lifecycle: a period, an objective, the Features under observation, and automatically collected signals — rollout state, entitlement adoption, tracked usage,...
End-user model — per-user flags and seats
A Person level beneath the Customer: per-user feature targeting, per-seat metering, per-user entitlements, granular adoption analytics. Builds on per-user usage attribution. We ship it when customers...
System Map — what runs where, for whom, and what breaks
Your Components, Releases, Deployments, Zones, Instances, and Customers rendered as a living map — what runs today and what is decided next, on one canvas. Trace a change and get its blast radius in...
SQL Explorer — ask your data directly
Read-only SQL over the audit trail and tracking events, in the browser, with saved queries and shareable results. An explorer for the answers you don’t want a warehouse for — not a BI tool.
Data Exporter — your audit trail in your warehouse
Native export of the audit trail and tracking events to Snowflake, BigQuery, Databricks, and S3. Run your own analytics on Kaiten data in the tools your data team already uses.
Insights connectors & bidirectional CRM sync
Support tickets (Jira, Linear, Zendesk), CRM activity, and NPS flow inbound to enrich the 360 view and the health score; new customers and deals created in your CRM flow into Kaiten. Signals in,...