KLARITICS AI
Warehouse-native analytics first. AI as a trusted copilot.
Klaritics AI sits on top of your existing analytics workflows to accelerate understanding, not to replace your warehouse-native foundation.
AI-optional
core analytics works with AI off
warehouse-first
no architecture compromise for AI
faster triage
for anomalies and behavior shifts
shared context
for PM and data team decisions
AI capabilities in Klaritics
Practical assistance for understanding results faster, while the underlying metrics and logic remain anchored to your warehouse-native analytics model.
Query plan explainer
Translate generated SQL/query plans into clear language for PMs and data teams.
Event stream summaries
Get concise summaries of behavior shifts, anomalies, and release impacts.
Guided insight workflows
Suggested next analyses based on your funnel, retention, and cohort patterns.
High-impact workflows
Where teams use Klaritics AI most
Release impact review
Summarize metric movement after launches and highlight which cohorts changed most.
Anomaly investigation support
Get plain-language breakdowns of sudden conversion, retention, or engagement deltas.
Analysis next-steps
Receive suggested follow-up cuts and segments after funnels or retention results.
Trust and guardrails
Built to be optional and safe by default
If AI keys are not configured, Klaritics falls back to deterministic product behavior and stub responses in demo environments. Your core analytics experience remains fully functional.
- - AI augments interpretation, never replaces warehouse-native metrics.
- - Teams can gate AI features by environment and role.
- - Analytical workflows remain available even with AI disabled.
Add AI assistance without changing your analytics foundation
In a live walkthrough, we can show how Klaritics AI fits your product analytics workflow, where it adds speed, and how it respects your existing governance model.