tokonomaTry Tokonoma

    Your AI reliability teammate

    Take the burden of production reliability off your team.

    Tokonoma learns what to monitor and investigates issues found by its monitors or flagged by your existing alerts. Get the evidence in Slack and use your coding agent to prepare a pull request for review.

    Watch an investigation in Slack and Claude Code.

    Follow the work from recalling past fixes to opening a PR and saving your decision.

    Tokonoma learns what to monitor as your product evolves. Get findings in Slack with the evidence behind them.

    Reads your existing telemetry. Tokonoma’s collection and storage are optional.

    Agentic Monitoring
    In your environment

    Tokonoma runs in your cloud.

    Detection, investigation and shared knowledge run in your Kubernetes environment. Agentic Monitoring reads telemetry from your existing tools and APIs. The OpenTelemetry Collector and Tokonoma’s telemetry platform are entirely optional.

    Your cloud contains workload clusters with application workloads and an optional OpenTelemetry Collector, plus Tokonoma running in a Kubernetes namespace with dashboards and alerting (Grafana and Alertmanager), an optional telemetry platform, Agentic Monitoring, and investigation knowledge. Agentic Monitoring reads existing telemetry via Model Context Protocol (MCP) and receives existing alerts without requiring Tokonoma’s collection or storage. Automatic investigations feed learning back into automatic detection. Alertmanager sends alerts, and the optional telemetry platform supplies additional evidence. Your team uses Slack and coding agents over MCP. Model connections include Bedrock, Anthropic, and Jev.
    Model-backed features and connected agents can send context to external model providers. Open full-size diagram

    See how Tokonoma performs.

    Past investigations give agents context they may be missing. In Tokonoma’s controlled benchmark, the same agent solved more cases with access to prior investigations.

    See benchmark results