Docent (now Get Well) Tech Stack

AI-driven patient engagement and care coordination platform for health systems

Hospitals and Health Care Bethesda, Maryland 201–500 employees Privately Held

Get Well (formerly Docent Health) operates a healthcare engagement platform built on a modern cloud-native stack—Python, Java, TypeScript, Kubernetes, and multi-cloud infrastructure (AWS, GCP, Azure)—with heavy instrumentation via Prometheus, Grafana, and Datadog. Active project work centers on conversational AI agents, clinical decision support, and AI infrastructure optimization, while the hiring mix skews heavily toward senior and staff-level engineers (13 engineering roles out of 18 total), suggesting both architectural maturity and a push to scale AI capabilities across their platform.

Tech Stack 97 technologies

Core StackPlaywright Selenium Cypress Python JavaScript TypeScript Java AWS Kubernetes Prometheus Grafana Elasticsearch Datadog LangChain MLflow GCP Azure AWS CloudWatch AWS CloudTrail CrewAI LangGraph Langfuse TestNG Robot Framework JMeter Locust Gatling pytest TensorFlow Extended iOS+58 more

AdoptingHelm ArgoCD Delta Lake Apache Iceberg AWS Kustomize Azure GCP+7 more

What Docent (now Get Well) Is Building

◆Challenges

Scalability of ai infrastructure
Compliance with healthcare regulatory requirements
Streamlining testing processes
Clinical insights accuracy
Performance and observability of ai models
Reducing system bottlenecks and drift
Performance of ai infrastructure
Building scalable testing documentation
Resolving broken automation scripts
High-scale distributed systems

▲Active Projects

Cloud ai infrastructure optimization
Conversational agentic ai workflows
Scalable services and apis on cloud
Ai-driven testing solutions
Internal tools and frameworks
Scalable test automation frameworks
Clinical decision support predictive analytics
Prototype new devops frameworks for ai
Llm-based ai solution development
Agentic system integration

Hiring Activity

Accelerating20 roles · 8 in 30d

Department

Engineering

Data

Product

Seniority

Senior

Staff

Principal

Mid

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About Docent (now Get Well)

Get Well acquired Docent Health in December 2020 and operates as a patient engagement and care coordination platform serving hospitals and health systems. The company focuses on patient experience, navigation, care coordination, and social determinants of health to drive retention and equity outcomes. With 201–500 employees headquartered in Bethesda, Maryland, Get Well maintains an engineering-forward organization with active development across cloud infrastructure, testing automation, and AI-driven clinical insights. The platform integrates conversational AI workflows, predictive analytics, and internal tooling to support both patient-facing and clinician-facing experiences.

HeadquartersBethesda, Maryland

Company Size201–500 employees

Hiring MarketsIndia

Frequently Asked Questions

What is Get Well's tech stack?

Get Well uses Python, Java, TypeScript, and JavaScript on multi-cloud infrastructure (AWS, GCP, Azure) with Kubernetes orchestration. Observability and testing are powered by Prometheus, Grafana, Datadog, Selenium, Cypress, and Playwright. AI work leverages LangChain, LangGraph, CrewAI, and MLflow.

What is Get Well working on?

Active projects include conversational AI agents, clinical decision support with predictive analytics, AI infrastructure optimization, scalable cloud services and APIs, and AI-driven testing solutions. The platform targets healthcare-specific challenges like regulatory compliance and clinical insight accuracy.

How this profile is built

Docent (now Get Well)'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.