Radar and vision-based launch monitors for baseball, softball and golf
Rapsodo builds sports hardware that pairs RF radar and camera sensing with on-device ML, visible in a stack spanning C++, PyTorch, TensorRT, ONNX Runtime and TensorFlow Lite alongside a Vector Network Analyzer. Hiring is accelerating and engineering-led, with active work on multi-band radar design, RF front-end circuits and board bring-up, while job posts flag measurement accuracy and modernizing monolithic backend systems.
Rapsodo is a privately held sports technology company founded in 2010 and headquartered in Chesterfield, Missouri. It makes flight and launch monitors for baseball, softball and golf, plus sports vision technology, built on sensor data and analytics. The company employs 51–200 people and hires across the United States, United Kingdom, Singapore and Malaysia. Its software runs on GCP and AWS with Go, Node.js, PostgreSQL and MongoDB, and customer operations use Salesforce and Zendesk.
Rapsodo uses C++, Python, Go, Node.js, Kotlin and React, with PyTorch, TensorFlow, TensorRT and ONNX Runtime for ML, plus GCP, AWS, Kubernetes, PostgreSQL, MongoDB, Salesforce and Zendesk.
Rapsodo hires in the United States, United Kingdom, Singapore and Malaysia, with engineering the largest department in its current hiring mix.
Current projects include multi-band radar system design, RF front-end circuit development, board bring-up and validation, a high-speed sports robot validation system, and marketplace performance optimization.
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Rapsodo'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.