Extract clean, consistent and queryable data from logs, reports, and other unstructured text files for *any* downstream use case

Fuse data from reports, bug trackers, and many more with simple functions instead of wading through multiple spreadsheets & formulas.

Pre-populate status reports with consistent metrics relevant to your team’s tasks and workflows. Just add insights.

Go beyond standard dashboards into insights for any project stage (Eg: Bug trending rates, is anyone of my team overloaded, etc)

Templates &  functions to determine PASS/ FAIL/ INCOMPLETE for any stage of your release process.

Track the changes to your CAD designs over time and store, organize, and archive relevant design data

Use multiple detection methods (thresholds, regressions, ML pipelines, etc.) to identify & flag anomalies based on historical data

Schedule and update any notebook, file, or database via cron, Jenkins, triggers, or our built in scheduler

Compute DORA metrics such as Deployment Frequency, MTTR, Lead Time to Change, and Change Failure Rate for your DevOps pipelines

Automate extraction and centralize tracking of slack, area, power, and other key (Quality of Results) QoR metrics

Combine metadata from version control and performance metrics from simulation runs to easily drill down into bugs and issues

Easily create dashboards to share IP, hardware specs and configurations to simplify creation of technical content and spec sheets

Key metrics (pass fail status, simulation seconds, wall clock seconds, versions, etc) - parser to dashboard for your team’s workflows

Templates and functions to answer questions like- why are my jobs not running while my machine utilization is low and licenses are idle?

Add metadata (like timestamps, versions, configuration, username) to help answer questions faster and track root causes