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PerfectServe Tech Stack

Clinical communication and scheduling platform for hospitals and medical practices

Hospitals and Health Care Miami, Florida 201–500 employees Founded 1997 Privately Held
perfectserve.com LinkedIn

PerfectServe operates a cloud-based clinical workflow platform built on Python, C#, .NET, and AWS, with deep EHR integrations (Epic, Cerner, athenahealth, eClinicalWorks via FHIR/HL7). The stack reveals a healthcare-specific, interoperability-first architecture. Current hiring momentum—14 roles posted in the last 30 days across engineering, sales, and support, with leadership gaps filled by recruiting directors and a VP—suggests acceleration in demand generation and product scaling. Active projects signal a strategic pivot: AI integration (LLM APIs, RAG systems, OpenAI, Anthropic, AWS Bedrock) and Salesforce modernization are now core workstreams, moving the company beyond pure scheduling into intelligent message routing and predictive analytics.

Tech Stack 35 technologies

Core StackPython C# .NET Salesforce Slack OpenAI Anthropic AWS Epic Systems React Angular Vue Node.js Java Kubernetes Lucidchart Tableau Terraform SQL Server Docker AWS Bedrock athenahealth eClinicalWorks Cerner FHIR HL7 OAuth 2.0 SMART on FHIR iOS Microsoft Access+5 more

What PerfectServe Is Building

◆Challenges

  • Routing communications efficiently
  • Clinical workflows
  • Optimizing provider schedules
  • Scaling demand generation engine
  • Ehr integration
  • Pipeline visibility lag
  • Workflow complexity
  • Scalability challenges
  • High-availability voice messaging systems
  • Administrative burden for clinicians

▲Active Projects

  • Implementing ai in new and existing solutions
  • Scaling demand generation engine
  • Sales funnel development
  • Outreach campaign execution
  • Salesforce enhancements
  • Reporting & executive insights
  • Scalable high-availability voice and messaging communication systems
  • Ai integration patterns and architecture standards
  • Llm api integration
  • Rag system development

Hiring Activity

Accelerating20 roles · 15 in 30d

Department

Engineering
6
Sales
4
Support
3
Marketing
2
Ops
2
Finance
1

Seniority

Senior
7
Manager
4
Mid
3
Director
2
Junior
1
VP
1
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About PerfectServe

PerfectServe provides cloud-based software for clinical communication, provider scheduling, and patient engagement across hospitals and medical practices. The platform operates at significant scale—trusted by more than 500 hospitals and 30,000 medical practices—and handles secure, timely message routing to the right clinician at the right time. Core functionality spans physician scheduling optimization, real-time care team collaboration, and patient/family engagement. The architecture integrates with major EHR systems (Epic, Cerner, athenahealth, eClinicalWorks) using standard healthcare protocols (FHIR, HL7, OAuth 2.0, SMART on FHIR). The company, founded in 1997 and privately held, is headquartered in Miami, Florida with 201–500 employees.

HeadquartersMiami, Florida
Company Size201–500 employees
Founded1997
Hiring MarketsUnited States, Canada

Frequently Asked Questions

What tech stack does PerfectServe use?

PerfectServe runs Python, C#, .NET, and Node.js on AWS infrastructure with Kubernetes orchestration. Frontend uses React, Angular, and Vue. Integrations include Epic Systems, Cerner, athenahealth, eClinicalWorks via FHIR/HL7/OAuth 2.0/SMART on FHIR. Recent additions: OpenAI, Anthropic, AWS Bedrock for AI.

What is PerfectServe working on?

Active projects include AI integration (LLM APIs, RAG systems), Salesforce enhancements, scalable voice and messaging communication systems, and demand generation scaling. Core problem areas: EHR integration, provider schedule optimization, clinical workflow complexity, and message routing efficiency.

How this profile is built

PerfectServe'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.