AIOps & Anomaly Detection

Let AI read
your telemetry.

Anomaly detection, Prophet forecasting, natural-language querying, and incident root-cause summaries — applied to your own logs, metrics, and traces. RAG over your runbooks turns past incidents into answers, so you spend less time hunting and more time fixing.

Anomaly detectionProphet forecastingNatural-language queryIncident RCARAG over runbooksCapacity planning
Detect

Find the anomaly you didn’t write a rule for

Z-score and IQR detection score every point in your metric time-series and flag what breaks the pattern — no thresholds to maintain, no baselines to hand-tune.

  • Z-score and IQR anomaly scoring on any metric series
  • Per-point flagging with a configurable sensitivity threshold
  • Anomaly-driven alerts wired into the alerting engine
  • Works on existing telemetry — no new instrumentation
aiaxoniq.com — AI Insights
Detect
AI Insights · Live view
Live
Feature
Z-score and IQR
Feature
Per-point flagging with
Feature
Anomaly-driven alerts wired
Forecast

See the spike before it happens

Prophet-based forecasting projects metrics 24 hours to 14 days out with confidence bands. Plan capacity, anticipate saturation, and budget infrastructure before the page fires.

  • Prophet forecasts at 24h, 3d, 7d, and 14d horizons
  • Upper and lower confidence bands on every prediction
  • Capacity planning for CPU, memory, disk, and request volume
  • Forecast any metric or a custom series you provide
aiaxoniq.com — AI Insights
Forecast
AI Insights · Live view
Live
Feature
Prophet forecasts at
Feature
Upper and lower
Feature
Capacity planning for
Investigate

Ask in English. Resolve with context.

Translate plain-English questions into safe, parameterized ClickHouse SQL. When an incident hits, AI summarizes the likely root cause from logs and traces and surfaces relevant runbooks via RAG.

  • Natural-language to ClickHouse SQL, injection-safe by design
  • Schema-aware queries across logs, spans, metrics, and events
  • LLM incident summaries with root cause and remediation steps
  • RAG over runbooks and past incidents for instant context
aiaxoniq.com — AI Insights
Investigate
AI Insights · Live view
Live
Feature
Natural-language to ClickHouse
Feature
Schema-aware queries across
Feature
LLM incident summaries

Built for every team that cares about reliability

One platform, tailored to how your team actually works.

SRE & On-call

Faster root cause

AI summarizes the incident and points to the runbook while you’re still reading the page.

Platform teams

Plan capacity

Forecasts and anomaly detection flag saturation days before it bites.

Every engineer

Query without SQL

Ask questions in plain English and get answers from the telemetry directly.

Under the hood

AI features grounded in your data, not a demo

Anomaly detection runs Z-score and IQR statistics over your real metric series. Forecasts come from Prophet models fitted to your history. Natural-language queries compile to parameterized ClickHouse SQL, and RAG retrieves from runbooks you upload — every answer traces back to your own telemetry.

Z-score / IQR anomaly detectionProphet-based forecastingNL→SQL with parameterized queries

Start using AI insights in 5 minutes

Free forever for up to 3 services. No credit card required.

Free tier · No credit card · Deploy in 5 min · Self-host or cloud