Manufacturing cost and manufacturability simulation software for product teams
aPriori Technologies builds simulation-driven software that estimates product cost, manufacturability and carbon impact for manufacturers. Its stack pairs CAD and PLM systems (Creo, SolidWorks, NX, CATIA, Teamcenter, Windchill) with a modern data toolchain (Airflow, dbt, Airbyte, Fivetran, Temporal), and current projects center on a new data platform and PLM/PDM connectors. Hiring is slow and senior-weighted, tilted toward data and engineering.
aPriori Technologies is a privately held software company headquartered in Concord, MA, founded in 2003, with 201–500 employees. It sells product-intelligence software to manufacturers, covering design, sourcing and production decisions through simulation of cost, manufacturability and sustainability. The product connects to engineering systems such as Teamcenter, Windchill and major CAD tools to pull design data into its analysis workflows. It runs across AWS, Azure and GCP with Java, C#, Python and React. Hiring is concentrated in the United States and United Kingdom.
aPriori runs on AWS, Azure and GCP with Java, Spring Boot, C#, Python, React and TypeScript, PostgreSQL, MySQL and SQL Server, Kubernetes and Terraform, plus Airflow, dbt, Airbyte and Fivetran for data.
Its stack includes Teamcenter and Windchill for PLM and Creo, SolidWorks, NX and CATIA for CAD, and current projects focus on integrating aPriori with customer PLM/PDM systems.
aPriori is headquartered in Concord, Massachusetts, has 201–500 employees, and hires in the United States and United Kingdom.
Other companies in the same industry, closest in size
aPriori Technologies'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.