100 AI agents working 24/7 so your team doesn’t. They detect, investigate, and resolve incidents automatically. No 3am pages ever again.
Nova unifies monitoring, incident response, automation, AI agents, and communication in one platform, so your team stops switching tabs across many fragmented tools during incidents. Works on its own, or alongside the tools you already run.
From incident response to security and compliance, each AI agent is a domain expert that works 24/7 across AWS, GCP, Azure, Docker, Kubernetes, Linux, and Windows.

When Nova spots an incident, 100 specialized AI agents diagnose the root cause, pick the right runbook, execute the fix, and verify the result, all without waking a human.

Ask your AI agents anything in natural language. "What's the root cause?" "Why did the backup fail?" Nova's Incident Commander and 99 other agents respond with structured analysis, impact assessment, and actionable next steps, in seconds.
Talk to Your AI Agents. Watch the demo
Every one of Nova's 100 AI agents is tracked in a single pane of glass. See live trust scores, performance metrics, decision history, and runbook coverage so you always know which agents are earning their autonomy and which need a human in the loop.

Monitor AI spend, model routing, caching, and policy enforcement in one dashboard. Every call is logged with tokens in, tokens out, cost, cache status, and latency.

A tamper-evident record of every AI action across your fleet. See the prompt, the model, the tools called, the response, the operator, and the outcome. Filter by agent, team, or time window for compliance reviews, incident replay, and SOC 2 evidence.

Same auth as the web UI. Same data, same permissions. npm install -g @novaaiops/cli and you're driving the platform from the keyboard.
A browser-based terminal that behaves like a real Linux server. Same commands, same syntax. SSH-grade access to any connected host: Linux box, Kubernetes pod, AWS instance, on-prem rack. Every keystroke is audited, and an AI agent is ready to translate intent into commands when you'd rather describe the outcome.