Hyground vs incident.io

Investigate against your live infrastructure, not from a chat channel over connected telemetry

incident.io runs its AI SRE inside Slack and Microsoft Teams, correlating logs, metrics, deploys, and past incidents from telemetry you connect to its cloud. Hyground installs into your Kubernetes cluster, queries Prometheus, Loki, the cluster API, and your runbooks directly, and keeps credentials and the model in your network.

What the agent can actually reach

incident.io built a chat-native incident platform (response, on-call, status pages) and added a multi-agent AI SRE that investigates in Slack, searching pull requests, past incidents, logs, metrics, and traces to draft hypotheses and PRs for a human to approve. Its root-cause depth tracks how much telemetry and source context you connect. Hyground runs inside the cluster, models the live infrastructure, and reasons over services, pods, deploys, logs, and code natively.

Architecture

Where Hyground differs

Six choices that change what the agent can see, where your data lives, and where the investigation runs.

Reasons over a live infrastructure graph

Hyground queries the Kubernetes API, Prometheus, Loki, Elasticsearch, and OpenSearch from inside the cluster to map dependencies and pinpoint the deploy that changed things. incident.io correlates the data sources you connect from its cloud; it has no in-cluster model of your infrastructure.

Credentials and telemetry stay in your network

Hyground holds your observability, ITSM, and Git credentials inside your cluster, behind a central gateway with platform-level RBAC and an audit trail. incident.io connects your observability, code, and chat data into its SaaS tenant to investigate.

Bring or self-host your LLM

Connect Hyground to Azure OpenAI, Anthropic, Google Gemini, AWS Bedrock, or a self-hosted Ollama endpoint through LiteLLM. incident.io runs its AI SRE on its own managed models, with no published bring-your-own or self-hosted option.

Not tied to Slack or Teams

Hyground's investigation runs in the cluster and surfaces through your own interfaces and back into the incident tool. incident.io's AI SRE lives inside Slack and Microsoft Teams; that is the surface, and the environment, it depends on.

Read-only by default

Hyground runs read-only by default, Kubernetes RBAC scoped, with actions gated behind explicit opt-in. incident.io keeps a human in the loop too, drafting a pull request for a person to review with its Code it up workflow.

Speaks the OSS stack and pairs with your coordinator

Hyground ships first-party connectors for Prometheus, Loki, Elasticsearch, and OpenSearch, plus bidirectional Jira and ServiceNow. Webhook incident.io alerts in and post findings back to the incident channel.

Decision

When each tool fits

incident.io and Hyground are different products: a chat-native incident coordinator with an AI SRE, and an in-cluster investigation agent. Pick on which job leads.

Choose Hyground when

Investigation depth against live infrastructure, sovereignty over credentials and the LLM, or working beyond Slack matter more than running everything in chat. Pair it with incident.io for coordination and paging.

Choose incident.io when

Your incident process already lives in Slack or Teams and you want response coordination, on-call, status pages, and AI triage in one chat-native place.

See Hyground in action

Try the sandbox or schedule a demo and watch the agent investigate against a real cluster.