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AI cloud for training and serving models at scale.

Environments for training AI and agents that handle recurring engineering work

AI Ontology Infrastructure for high-stakes operations

Autonomous security factory for software, repositories, agents, and infrastructure.

Deploy an adaptable live-streaming server on your own infrastructure

A YAML-based CLI for asserting the installed packages, services, files, ports, and other state of a system.

Deploy app services from GitHub or templates, then manage them from a shared project dashboard.

Monitor application, database, server, and web-transaction health from one managed console.

Provision managed SQLite-compatible databases for apps that need isolated data stores and cloud synchronization.

Memory layer for AI agents and apps

An on-premises vault for privileged account records

Fully managed AI search and retrieval infrastructure with SDKs and APIs for RAG.

Run a self-managed time-series database for recent metrics and event data.

Correlate OpenTelemetry metrics, traces, and logs in a shared observability workspace.

Run web and mobile application tests on hosted browsers and physical devices without maintaining a device lab.

A self-hosted team timesheet for customer and project work with Jira integration and enterprise authentication.

Build a custom build, test, and release pipeline from a Python-configured framework.

Collect, reconcile and pay through Australian payment networks

Self-host an appointment booking page and team calendar, or use the project’s managed hosting.

Collect continuous CPU and memory profiles, then compare code paths over time.

A DAST scanner for finding and validating exploitable vulnerabilities in web applications and APIs.

Deploy a self-hosted OpenTelemetry stack for application, infrastructure, and AI-agent telemetry.

Compose Kubernetes-native tasks into build, test, and deployment pipelines.

Run your own subscription billing with catalogs and payment plugins