Looker Data Apps · Built by Astrodata
Looker added Data Apps in October 2026: custom applications that live inside Looker and read from your LookML models. We rebuilt six of our apps on it the week it launched. The screens are new to Looker. The work under them is what Astrodata does for clients every day: data platforms, dbt models and metric definitions that hold up when someone checks them.
All apps
Tell us who you are once and every app opens. Most have a public build anyone can open. Every Looker edition runs on the Astrodata Looker instance, so ask us for a walkthrough.
Fleet operations
A national trucking fleet on one live map: 312 tractors on the real U.S. freight network. See which truck is about to break down, which loads will run late and where the weather is, then plan the fix.
Retirement, priced by the bond market
A retirement planner built on current Treasury and TIPS rates. Enter your goals and it shows how much guaranteed income you can lock in, and how the plan would have held up in every year since 1928.
Life-sciences segmentation
Audience segmentation for health brands. Build a segment, estimate a campaign’s reach and results, and track the campaign after launch.
Kettle Moraine Residential
An operations view of 40 apartment communities. It ranks what needs attention in the next 60 days and drills down to a single unit and lease.
Kristi Ridge
A harvest planner for a vineyard. It shows which blocks are ready to pick before the rain, what each picking day is worth, and builds the week’s schedule for the crews.
The Westside
A distribution planner’s view of the Westside of Los Angeles. Every building at its surveyed height, modeled evening load by home, and a peak-day plan that shows which programs keep a circuit under its rating.
Underneath the apps
Astrodata is a data and AI consultancy. Most of our work is the part nobody sees: platforms, pipelines, models and metric definitions for teams that need their numbers to hold up. These apps put that work in front of you, on a single screen.
01
We build and run data platforms on Snowflake, BigQuery and Databricks, and we are a Snowflake Premier partner. The data behind an app lands, refreshes and gets checked the same way it does on a client platform.
02
Every metric is defined once in dbt and tested before it reaches a screen. For Clever, we brought their metric definitions together in dbt on Snowflake and handed over a reporting suite their team runs on its own.
03
The app and every Looker dashboard read the same LookML, under the same permissions, so they agree. It is the same discipline we bring to embedded analytics on Omni, where we rebuilt WorkRamp’s customer-facing analytics in under three months.
04
We design for the person who has to act on the number, usually not an analyst. The number, the reason behind it and the next step sit together, and every figure can be traced back to its rows.
Teams we build for
Read the case studies
What changes on Looker
The screens are the same apps you can open on our Omni page. What changes is underneath: the data model, the sandbox the app runs in, and where its media comes from.
01
Every table behind an app becomes a LookML view and explore. The app queries the explores, never the warehouse directly, so row-level security and model permissions apply to every number on the screen.
02
A Looker Data App runs in a locked sandbox: no outside images, fonts or video. Fonts and photos travel inside the app, and heavier media arrives through a query like any other data.
03
The same app code runs in Omni and in Looker; only the data connection changes. Teams on either platform get the same product, and switching later does not mean starting over.