Connect repositories, cloud accounts, runbooks, and live infrastructure. Aura answers based on your environment, resources, and internal procedures.
Technical demo with our engineering team
Indexes repositories, wikis, runbooks, and PDFs so answers can cite specific files, paths, and examples from your documentation.
Alerts arrive by webhook, are correlated with operational context, and can generate Jira tickets with a root-cause hypothesis attached.
AWS, Azure, GCP, and Kubernetes resources become part of the conversation context: accounts, pods, deployments, and current state.
Every write operation requires explicit human approval, with a complete audit trail and no autonomous execution in production.
Bring your own API key for OpenAI, Anthropic, Google, Meta, or Mistral. Switch models per message without vendor lock-in.
PostgreSQL Row-Level Security, OIDC SSO, and per-tenant data boundaries with enterprise access control.
When a Grafana alert fires, Aura correlates it with infrastructure state, references relevant runbooks, and can create a Jira ticket with a root-cause hypothesis and recommended actions.
Connect GitHub and repositories are indexed. Upload PDFs, add runbooks, and build semantic retrieval context so Aura can answer with your organization's actual procedures.
Every integration domain runs as an isolated service in its own Kubernetes namespace. No plugins or external agents. Each service has its own lifecycle and can be monitored independently.
A plausible answer, but without environment context: no pod, namespace, current usage, or team runbook reference.
Specific pod, namespace, current usage, internal procedure, and correction command — all from your environment.
Your team spends less time interpreting advice and more time executing precise actions. MTTR drops and on-call load decreases.
Book a technical walkthrough with our engineering team and see Aura operating with real environment context.
