About
Geonix is built by a team of engineers holding PhDs in transportation and geospatial engineering, with experience spanning academia and industry. The work sits where disciplines rarely meet in one team: transportation-domain depth, high-performance systems engineering, large-scale computing, and applied AI. The team builds across Rust, Python, and Java — Rust where microseconds and memory matter, Python for modeling and orchestration, Java where the ecosystem fits — and has hands-on experience running compute clusters and supercomputers, sizing and tuning workloads that don't fit on a single machine. Geonix is the expression of that combination: terabyte-scale geospatial pipelines on commodity hardware, natural-language query and generative dashboards and maps over a guardrailed semantic layer, machine learning and agentic systems grounded in domain data, and city-scale traffic microsimulation as a synthetic-data source. The throughline is engineering that is measured, clear about its limits, and built end-to-end — from raw GPS to an interface you can talk to.