INRIX turns connected-vehicle and device data into mobility analytics for public agencies and commercial buyers. Its stack centers on a Databricks lakehouse (Delta Lake, Unity Catalog, MLflow) over Spark, Kafka and AWS Kinesis, with PostGIS and QGIS for geospatial work, pointing to large-scale streaming location data. Hiring is minimal and split between data and sales, with job posts stressing growth in public sector sales.
INRIX, founded in 2005 and headquartered in Bellevue, Washington, is a privately held company of 201–500 employees. It collects data from connected vehicles and devices and converts it into insights on how people and goods move. Cities and road authorities use its on-demand analytics platform for traffic and mobility decisions, including signal timing and safety. Financial services and other businesses use its data for consumer trends, supply chain health and retail site planning. The company hires in the United States and the United Kingdom.
INRIX uses Databricks with Delta Lake, Unity Catalog and MLflow, plus Apache Spark, Kafka, Python, Scala and Java on AWS (Glue, Athena, EMR, Kinesis), with PostgreSQL/PostGIS and QGIS for geospatial data.
INRIX is headquartered in Bellevue, Washington, United States, and also hires in the United Kingdom.
Hiring is currently minimal, with open roles focused on data and sales at mid and senior levels, in the United States and United Kingdom.
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INRIX's technology stack, projects, and hiring signals are inferred from public hiring and company data — career pages, public listings, and company web presence — then clustered and de-duplicated. Figures are estimates that refresh over time. Read our full methodology →
This is not an official vendor or customer list. It is a technology-adoption signal inferred from public data, intended for B2B research.
