Solutions · Data & Analytics

The AI analyst that watches the numbers so nobody gets surprised.

Metrics monitored around the clock, anomalies investigated before the Monday meeting, reports prepared with every figure linked to its source.

Anomalies flagged within the hour Every figure traceable to source No schema changes, ever
metrics · watch
Live monitors Data · Vega
SignalState
Signup conversion down 6% — traced to checkoutINVESTIGATED
Weekly KPI digest compiledSENT
Revenue dashboard refreshed, checks passedAUTO
Duplicate records in accounts tableFLAGGED
14 MONITORS GREEN2 NEED A LOOK

<1h

From anomaly to first analysis

100%

Figures linked to their query

0

Untracked dashboard edits

Representative results · your workload will vary

The job

What your data employee owns.

01

Metric monitoring

Watches the KPIs you name and speaks up when one moves — with the segments that explain why.

02

Anomaly triage

Separates data problems from business problems before anyone builds a narrative on a broken number.

03

Report preparation

Weekly and monthly packs assembled on schedule, every figure carrying its source query.

04

Data hygiene

Flags duplicates, schema drift, and stale definitions — and files the fix for review.

Guardrails

Read everything. Change nothing alone.

The agent reads warehouses and dashboards freely, but writing is a different privilege: hygiene fixes are proposed as changes, external shares hold for approval, and schema changes are simply off the table.

Numbers your board sees deserve a chain of custody. Every decision stays on the record.

data · guardrails
ActionState
Internal digests & alertsAUTO
Dashboard fixesHOLD
External data sharesHOLD
Schema & pipeline changesBLOCKED

Integrations

Plugged into your stack.

Scoped to the sources the role needs — read access to the warehouse doesn't grant edits, and edits can always require a person.

GOGoogle SheetsReports
AIAirtableOperational data
SLSlackDigests & alerts
NONotionMetric definitions
STStripeRevenue data
SASalesforcePipeline data
GMGmailScheduled reports
GIGitHubAnalytics code
+ thousands morevia Syntrum connections
We stopped discovering bad weeks in the Friday deck. The dip gets explained the morning it happens.
Wei Zhang · Head of Analytics, Coppervale

Straight answers.

Any metric you can define against your connected sources — revenue, conversion, activation, retention, queue health. You set the thresholds and the audiences; it watches continuously and explains movements with segments, not just alerts.

Not on its own. Reads are free; every write is either a proposal held for review or blocked outright, depending on your rules. Schema and pipeline changes are always human work.

Every figure it reports carries the query and timestamp it came from, so any stakeholder can trace a number to its source instead of trusting a screenshot.

It's one standard role on any plan — from $12/month with your own API key on Solo, or on Team with model usage included. There are no per-seat charges for the people reviewing its work.

Start small

Put one agent to work this week.

Start with one repeatable job. Keep approval over every action, see the results, and expand when you are ready.