Waystar builds software that automates claims, patient payments and revenue capture for healthcare providers. Its stack pairs a legacy .NET, C#, PHP and SQL Server estate with a GCP-centric AI layer (Vertex AI, PyTorch, Triton, ClearML) and fine-tuning of open models like Mistral and Llama via LoRA/QLoRA, pointing to in-house LLMs for clinical documents. Engineering-heavy, accelerating hiring alongside legacy refactoring work suggests active modernization.
Waystar is a publicly traded healthcare payments software company headquartered in Louisville, Kentucky, with 1,001–5,000 employees. Its platform serves healthcare providers across financial clearance, claims management, denial management, revenue capture and patient payments. The company reports roughly 30,000 clients representing over 1 million distinct providers, and its platform handles over 5 billion payment transactions a year. Hiring is concentrated in the United States across engineering, support, data and product teams.
Waystar runs on GCP (Vertex AI, Cloud Run, Cloud Functions) plus AWS and Azure, with Python, Java, C#, .NET, Go, Kubernetes, Kafka, PostgreSQL and SQL Server, and AI tooling like PyTorch, Triton and ClearML.
Yes. Waystar uses and is adopting Mistral and Llama, fine-tuned with LoRA and QLoRA, alongside Vertex AI, likely tied to extracting meaning from unstructured clinical documentation.
Yes. Engineering is Waystar's largest hiring area, followed by support, data and product, with mostly mid and senior roles in the United States and hiring velocity accelerating.
Other companies in the same industry, closest in size
Waystar'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.
