E-prescribing and pharmacy benefit APIs for health technology platforms
DoseSpot supplies e-prescribing, insurance verification and revenue cycle tools embedded in EHR and telehealth software, built on a Java/Spring and .NET core with FHIR and HL7 interoperability. An LLM toolchain of OpenAI, LLaMA, LangChain, LlamaIndex and RAG alongside AI-driven data platform work points to AI moving into core operations. Hiring is accelerating and senior-weighted, split across engineering, sales and support as it pushes into top-tier U.S. health systems.
DoseSpot is a Boston-based, privately held company founded in 2009 with 51–200 employees. It provides e-prescribing, insurance eligibility verification and revenue cycle management capabilities to healthcare providers and the technology vendors that serve them, including EHR, dental EHR and telehealth platforms. Its services connect prescribers, pharmacies, payers and patients, covering areas such as controlled substance prescribing and real-time pharmacy benefit checks. The company operates alongside its subsidiary pVerify and runs its infrastructure on AWS and Azure.
DoseSpot uses Java with Spring Boot, .NET, Python and C++, runs on AWS and Azure with Terraform, Docker and Datadog, and handles healthcare data via FHIR and HL7. Salesforce, Zendesk and ServiceNow support go-to-market and service.
Yes. Its stack includes OpenAI, GPT, LLaMA, LangChain, LlamaIndex and RAG, and current projects include an AI-driven data platform enhancement and AI-assisted operations automation.
Yes, hiring is accelerating in the United States across engineering, sales, support, data and product, with an emphasis on senior-level roles.
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DoseSpot'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.