Automotive engineering services spanning CAD, CAE, simulation and launch quality
TOOGANN is a Dublin, Ohio engineering services firm supporting automotive manufacturers with design, simulation and component launch work. Its stack pairs OEM tooling (CATIA, Moldex3D, dSPACE, CANoe) and quality frameworks (APQP, PPAP, SPC, MSA) with Power Platform automation and AWS IoT, which points to a supplier-quality practice that is also digitizing its reporting. Hiring is accelerating and skews heavily toward senior engineers.
TOOGANN Technologies, founded in 2015 and headquartered in Dublin, Ohio, provides outsourced engineering services to the automotive industry. Its work covers CAD and CAE, computational fluid dynamics, digital manufacturing, component design, prototyping, testing and project management, along with training and technical support. Current engagements include interior and cockpit trim component launches and incoming quality inspection. The company employs 201–500 people, is organized as a partnership, and recruits in the United States and the Philippines.
TOOGANN provides automotive engineering services including CAD, CAE, CFD and digital manufacturing, plus prototyping, testing, component launch support and incoming quality inspection for vehicle manufacturers.
Its stack includes CATIA, Moldex3D, dSPACE and CANoe for engineering, Power BI, Power Apps and Power Automate for reporting, and Python, AWS IoT Core, MQTT and TensorFlow for data and connected systems.
TOOGANN is headquartered in Dublin, Ohio and hires in the United States and the Philippines, with openings concentrated in senior engineering roles plus some quality and HR positions.
Other companies in the same industry, closest in size
TOOGANN 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.