🤖 Smarter Anomaly Detection
Before: AI Detect would fire alerts during warm-up periods when there wasn't enough historical data, creating noise and false positives.
Before: AI Detect would fire alerts during warm-up periods when there wasn't enough historical data, creating noise and false positives.
Configure managed view settings independently for each schema.
Before: The term Segment didn't match industry standards, and naming felt inconsistent across the product.
Raw data at your fingertips for deeper analysis.
Before: AI Detect ran anomaly detection on every report, including ones with fixed date ranges where the data never changes.
Take control of your Slack notifications at the dashboard level. Route engineering alerts to your engineering Slack channel and marketing Dashboards to your marketing channel. Each team gets exactly what they need, nothing more.
Before: Some graphics and visual elements in the report builder weren't optimized for dark mode, making them hard to read.
Now you can work with Kubit directly inside your favorite AI tools. Whether you're in Cursor or Claude, your Kubit data is right there with you.