Urban infrastructure intelligence
GPU-accelerated analysis of 2.34M Austin construction permits, processed nightly. Discover energy trends, grid gaps, and infrastructure patterns.
Infrastructure signals are hiding in plain sight.
The Permitting Bottleneck
Manual analysis of Austin's construction data is slow, fragmented, and prone to human error.
Hidden Trends
Critical infrastructure trends are buried under a mountain of bureaucratic paperwork and legacy PDF formats.
The 2.3M Scale Challenge
Processing 2.34 million permits manually is an impossible task for urban planners and developers.
From raw data to real-time intelligence
Open Pipeline
Repeatable for any city's open data. Customizable pipeline code you can fork and adapt.
Born on DGX Spark
Prototyped on DGX Spark, deployed to Jetson AGX Orin for edge AI.
NVIDIA Nemotron via NIM
Nemotron Nano 8B powers all AI insights via NVIDIA NIM.
Open Source
MIT licensed. Fork it for your city, customize freely.
Story-driven
Raw data → insights like the 9:1 solar-to-battery ratio.
Built for decision makers
Real-time infrastructure intelligence for the people who plan, power, and study cities.
City Planners
Identify infrastructure gaps, track permit trends, and make data-driven zoning decisions across every district.
Energy Companies
Find underserved areas for solar, battery, and EV infrastructure investments. Spot the grid gaps before they become crises.
Researchers
Analyze urban growth patterns, climate resilience, and infrastructure equity with 26 years of permit data.
Austin is Changing Fast
Solar installations, EV chargers, generators, and grid infrastructure patterns revealed through permit data analysis.
Solar to battery ratio
Generator surge post-2021
Solar installations
Open Source
Extensible data pipeline. Adapt it for any city, any dataset. MIT Licensed.