Reduce 10,000 daily alerts to the ones that need human eyes.
Network alerts pile up faster than any team can triage them, and support tickets sit in the wrong queue while customers wait on a fix.
Data Foundations, Intelligent ITSM & Snowflake-Native MDM with Bruce Oliver
HOW IT WORKS
Compress the noise.
DAS42 builds models that group thousands of daily network alerts into the small set of root-cause incidents your team actually needs to see.
Route and resolve.
Cortex-based agents classify incoming tickets, send them to the right team, and surface a suggested fix before an agent finishes reading the ticket.
Forecast what’s coming.
Models built on your own telemetry and customer data predict churn and demand shifts, so your team acts before the numbers move, not after.
WHAT YOU GET
Alert Compression
A working alert-compression model running against your live network telemetry
AI Ticket Management
Cortex agents that classify, route, and suggest resolutions for incoming support tickets
Churn & Demand Forecasting
Churn and demand forecasting models built on your own usage and customer data
Continuous Model Evaluation
A Snowflake-native evaluation pipeline that tracks model accuracy over time, so “good enough” stays a monitored state, not a one-time judgment call
Knowledge Transfer
Documentation and training so your team can extend the models after handoff