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Vorhut · Public Beta

Predict incidents before they happen.

AI-powered AIOps that detects anomalies, predicts outages, and remediates under explicit governance — before they impact your users.

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Core capabilities

Everything you need to stay ahead of incidents

From prediction to remediation, Vorhut provides a complete toolkit for proactive operations management.

Threshold, error-rate, and trend detectors fire on telemetry from your existing observability stack. Calibration histogram + confidence scoring keep over-confident detectors out of the queue. Workflows graduate draft → approved → auto as eval scores accrue. Every trigger evaluates the active RPL policies before any executor mutation runs. Recursive-CTE walk over the service dependency graph surfaces every downstream service an incident will touch, ranked by criticality, before approval. Datadog, Prometheus, OpenSearch, Slack, PagerDuty, GitHub, Kubernetes restart/scale, and incident.io. MCP-server plugins extend the agent tool surface at runtime. RPL gates auto-execution by confidence threshold, blast-radius cap, service scope, and environment. Production-remediation-requires-approval is the default gate. Pipeline-scoped agents own slices of the topology. Each carries its own tool allowlist + scope filter; the default agent catches anything unscoped.
How it works

From chaos to control in minutes

01

Connect your stack

Install source plugins (Datadog, Prometheus, OpenSearch, …) and Vorhut starts reading telemetry. No new agent to deploy; we sit on top of the tools you already pay for.

02

Define governance

Author RPL policies that gate every workflow trigger. Set confidence thresholds, blast-radius caps, and approval routing per service or environment.

03

Promote with evidence

Workflows ship as draft, run in shadow + dry-run modes, and only graduate to auto-execution after the eval harness clears them. Operators stay in the loop until the loop is proven.

Ready to predict the future?

Free during the Public Beta. No credit card required. Set up in under 5 minutes.

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