Product analytics with an AI analyst.
Ask a question in plain English, get a chart, cohort or funnel with the SQL to back it up — no dashboard building required.
Active users
128,402
+12.4%
AI resolutions
41,908
+38.1%
Automations
9,214
+8.6%
Weekly activation
72,481 workflows
Support volume dropped 31% after enabling Atlas triage.
Estimated saving of 412 agent hours this month across 4 teams.
Overview
A single home for ai analytics.
AI Analytics replaces a stack of point tools with one system that shares identity, data, and workflows with the rest of Flyps.
50%
fewer tools
4×
faster time to value
99.99%
uptime
SOC
2 · HIPAA
Capabilities
Everything you need to ship.
Natural-language queries
Auto-joined events, sessions and revenue.
Anomaly detection
Weekly digests that rank changes by business impact.
Warehouse-native
Query in place on Snowflake, BigQuery, Databricks or Postgres.
Why teams love AI Analytics
Outcomes, not outputs.
- Every PM becomes an analyst
- Faster decisions
- Trust your data
Active users
128,402
+12.4%
AI resolutions
41,908
+38.1%
Automations
9,214
+8.6%
Weekly activation
72,481 workflows
Support volume dropped 31% after enabling Atlas triage.
Estimated saving of 412 agent hours this month across 4 teams.
How it works
From setup to signal in minutes.
1
Connect
Point Flyps at your existing sources — warehouse, tickets, CRM.
2
Model
Auto-suggested schemas you can review, edit and version.
3
Automate
Compose typed workflows with human-in-the-loop checkpoints.
4
Measure
Track outcomes and ROI in built-in dashboards.
Use cases
Where teams use AI Analytics.
Feature adoption
Retention
Attribution
Exec reporting
Integrations
Plays well with your stack.
First-party connectors — plus 300+ more across the Flyps platform.
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See AI Analytics in your context.
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