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Prompt Health Tech Stack

EMR and practice management platform for physical therapy clinics

Software Development Hoboken, New Jersey 201–500 employees Founded 2017 Privately Held

Prompt Health operates a fully integrated EMR and practice-management system for physical therapy practices, built on a polyglot stack (MySQL, PostgreSQL, SQL Server, PHP, Python, Vue, React) deployed across AWS, Azure, and GCP. The company is actively hiring across support, engineering, and data roles while adopting HubSpot and building out cloud infrastructure, deployment automation, and AI tooling—signaling both product expansion and operational scaling in a paper-heavy, revenue-cycle-constrained market.

Tech Stack 47 technologies

Core StackMySQL PostgreSQL SQL Server PHP Python JavaScript Vue React AWS Azure AD Okta Rippling Intune Docker GitLab AWS Lambda SageMaker Kubernetes NetSuite QuickBooks HubSpot Laravel Chrome DevTools JumpCloud Kandji macOS GCP Azure AWS ECS AWS Fargate+17 more
AdoptingHubSpot

What Prompt Health Is Building

Challenges

  • Paper-heavy industry digitalization
  • Reducing environmental waste
  • Digitizing paper-heavy billing processes
  • Complex healthcare industry problems
  • Improving outpatient therapy efficiency
  • Improving efficiency across departments
  • Reducing revenue cycle delays
  • Complex data sources
  • Scaling data pipelines
  • Reducing claim submission lag

Active Projects

  • Cloud infrastructure platform
  • Deployment pipeline automation
  • Containerized application scaling
  • Billing best practices training
  • Enterprise billing onboarding
  • Continuous improvement of contract management systems
  • Internal ai tools for efficiency
  • Product-facing ai initiatives
  • Ai scribe
  • Real-time language workflows

Hiring Activity

Accelerating25 roles · 10 in 30d

Department

Support
7
Engineering
6
Data
3
Finance
3
Legal
1
Operations
1
Ops
1
Sales
1

Seniority

Senior
11
Mid
7
Junior
3
Director
1
Manager
1
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About Prompt Health

Prompt Health is a SaaS provider of enterprise software for physical therapy clinics, founded in 2017 and headquartered in Hoboken, New Jersey. The platform consolidates scheduling, clinical documentation, billing, patient engagement, home exercise programs, and online intake into a single system. The company targets mid-market and group PT practices, with revenue optimization and operational efficiency as core value drivers. Active projects include billing automation, AI-assisted clinical documentation (scribe), contract management, and real-time language workflows—indicating a shift toward AI-assisted workflows and streamlined revenue cycles.

HeadquartersHoboken, New Jersey
Company Size201–500 employees
Founded2017
Hiring MarketsUnited States

Frequently Asked Questions

What tech stack does Prompt Health use?

Prompt Health uses MySQL, PostgreSQL, SQL Server, PHP, Python, Vue, and React. Infrastructure runs on AWS (ECS, Fargate, Lambda, SageMaker), Azure, and GCP. DevOps tooling includes Docker, Kubernetes, and GitLab. They're adopting HubSpot and integrating with NetSuite and QuickBooks for billing.

Is Prompt Health hiring engineers?

Yes. Prompt Health has 6 active engineering roles (from 23 total open positions) with accelerating hiring velocity. Recent posts include senior, mid, and junior-level IC roles. The company is also hiring 7 support roles and 3 data positions.

What is Prompt Health working on?

Current projects include cloud infrastructure migration, deployment pipeline automation, containerized application scaling, AI-assisted clinical documentation (scribe), real-time language workflows, and billing process optimization. The company is also building internal AI tools and product-facing AI initiatives.

How this profile is built

Prompt Health'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.