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Insight · Analyze

Understand your fleet, with agents that build its KPIs.

Describe what you want to know in plain language. Specialist agents build the KPIs, analytics, and dashboards; you review and approve; the result runs fleet-wide as live telemetry.

Agentic analyticsEarly access

From a plain-language ask to running analytics.

You don't configure analytics screen by screen. You describe what you care about, and specialist agents build it. What you approve becomes part of your asset model itself, so one definition measures every asset of that type you own today or buy next year, with a record of every change. The agents build; a person approves. Nothing runs without your sign-off.

  1. 01
    Describe: Say what you want to know, in plain language.
  2. 02
    Agents draft: Specialist agents write the calculation, work out which assets it applies to, and build the dashboard.
  3. 03
    You approve: Preview every draft over your real history. Nothing activates without an explicit human yes.
  4. 04
    Runs as live telemetry: Approved analytics compute continuously on every matching asset as first-class time series. They are charted in the explorer and on asset pages, queryable and exportable like any raw signal, with input quality carried through to every computed point.

KPIs

Larkspur Wind Farm · fleet-scoped

Continuous
Availability
Your definition, applied to every turbine
Approved
formula
available_time / period_time
inputs
status_code · fault_code
window
1 day · site timezone
Availability
96.8%
0.4%
Performance Ratio
0.86
fleet · 30d
Energy Delivered
48.2MWh
fleet · 30d
Lost energy per turbinePending review
drafted from “track lost energy per turbine, monthly”
Live dashboardsLive

Real-time, without the refresh button.

Dashboards stream straight to the browser, with no refresh and no polling. Per-asset charts and fleet views update as new readings arrive from the edge.

Turbine A07

Larkspur Wind Farm

Live
Latest Values
Current readings for each variable on this asset
VariableValueUnitQualityLast Updated
rotor_speed12.45rpmGood2s ago
active_power1240.8kWGood1s ago
blade_pitch27.3°Uncertain5s ago
nacelle_temp38.6°CGood3s ago
Time Series
Historical readings over the selected time range
1h
rotor_speedactive_powerblade_pitch
Historical readings over the selected time range
Rotor speed highWarning
3 turbines · fleet rule · grouped
just now
AlertsLive

Catch the right signal across the whole fleet.

Six rule types cover the ways industrial equipment goes wrong. Fleet-scoped rules apply one definition across every matching asset, grouping keeps a fleet-wide event from becoming an alert storm, and rules can watch KPI outputs as well as raw signals.

Thresholdwith hysteresis
Sustained durationbreach over time
Stalenessmissing data
Multi-conditioncombined logic
Rate of changefast swings
Patternsequence match

Severity and acknowledge

Alerts carry a severity and move through an acknowledge lifecycle, so an on-call team can triage, claim, and clear incidents without losing track of what is still open.

Webhook and email notifications

Route alerts to the channels your team already uses: outbound webhooks for downstream systems and chat, or email for direct delivery. Scheduled briefings are in early access: a recurring digest on the channels you pick, with a picker that shows exactly who each channel reaches.

Alerts on your KPIs

A rule can watch a KPI output the same way it watches a raw signal. A threshold on round-trip efficiency works exactly like one on a temperature. When corrected history restates a KPI value, the alert follows the restatement, and late data never re-fires a resolved alert.

Explanations with receipts

Early access

Ask why a KPI moved and the assistant answers from the actual inputs. Every claim cites the readings and the definition it came from. Explanations read your data; they never act on it.

Put your agents to work.

Start with live dashboards and fleet-scoped alerts today, and have your agents build your first KPI in early access.

Insight: Analyze | Fleetera