Sandboxes
Every team member gets their own data environment.
Isolated from production. Isolated from each other. On your infrastructure.
Teams don't abandon AI tools because they're bad. They abandon them because they don't trust them. Sandboxes give your team freedom and you control.
Capabilities
What sandboxes give you.
Isolated database per team member. Own schema, own data, own schedule.
Your infrastructure. Postgres, Snowflake, BigQuery, Redshift, or Databricks.
Own API keys and encrypted secrets. Credentials per app, nobody else can read them.
Production stack untouched. Loony runs alongside, not inside.
Full audit trail. Every deploy, every run, every query logged.
loony apps sarah (PM) revenue-tracker snowflake active mike (Ops) support-metrics postgres active lisa (Founder) product-usage bigquery active alex (Marketing) campaign-roi postgres active 4 apps · 3 databases · production untouched
Teams
How teams use it.
A PM spins up their own environment for a new Stripe analysis and production stays exactly as it is.
Three teams build pipelines from the same data sources at the same time, each working in their own isolated space.
The CTO can see every deploy, every run, and every query across all environments from one audit log.
loony logs sarah/revenue-tracker #47 06:00 UTC ✓ 2,847 rows 18s mike/support-metrics #31 06:00 UTC ✓ 1,204 rows 12s lisa/product-usage #22 04:00 UTC ✓ 8,341 rows 24s alex/campaign-roi #15 06:00 UTC ✗ auth expired