Healthcasts Tech Stack

Clinical collaboration platform for healthcare professionals

Technology, Information and Media Palm Beach, Florida 51–200 employees Privately Held

Healthcasts operates a verified-practitioner network where doctors connect, share clinical knowledge, and validate treatment decisions. The stack reveals an AI-forward architecture: OpenAI and PyTorch power NLP-based clinical entity extraction and recommendation models, while Pinecone enables semantic search over unstructured medical content—directly addressing a core pain point of extracting actionable insights from vast clinical data. Active infrastructure work (Terraform, AWS Lambda, ECS, Fargate) paired with a next-gen web portal rebuild suggests a scaling phase for both the platform and its physician user base.

Tech Stack 22 technologies

Core StackOpenAI Python PyTorch Pinecone Svelte Terraform AWS Lambda DynamoDB AWS AWS RDS CloudWatch Sentry Docker ActiveCampaign JavaScript TypeScript AWS SNS AWS SQS API Gateway AWS ECS AWS Fargate Git JavaScript/TypeScript

What Healthcasts Is Building

◆Challenges

Physicians pressed for time
Content overload
Extracting insights from unstructured clinical content
Meeting revenue goals
Expanding sales pipeline
Scaling healthcare portal
Email deliverability
Scaling email reach
Vast, complex clinical interactions

▲Active Projects

Data pipelines for ingesting healthcare data
Next-generation hcp web application portal
Always-on content programs
Dashboards and reporting cadences
Go-to-market launch campaigns
Nlp/llm-based model for extracting clinical entities
Classification and recommendation models for clinical guidelines
Strategic planning for client campaigns across channels
Oversee rfp responses and pricing strategy
Terraform infrastructure deployments

Hiring Activity

Steady7 roles · 3 in 30d

Department

Engineering

Marketing

Sales

Seniority

Senior

Director

Manager

Mid

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About Healthcasts

Healthcasts is a clinical collaboration platform serving healthcare professionals across the United States and Canada. The product centers on verified peer-to-peer connection, real-world data research, treatment validation, and medical news distribution—all within a single interface designed to compress decision time for time-pressed physicians. The company operates a content-driven go-to-market model, with active campaigns around therapeutic specialties and physician education. Current technical priorities span healthcare data ingestion pipelines, portal modernization, and scaling email reach to expand HCP engagement.

HeadquartersPalm Beach, Florida

Company Size51–200 employees

Hiring MarketsUnited States, Canada

Frequently Asked Questions

What AI and ML technologies does Healthcasts use?

OpenAI and PyTorch power NLP/LLM models for extracting clinical entities and generating treatment recommendations. Pinecone provides semantic search over unstructured clinical content to surface relevant insights.

What is Healthcasts working on?

Core projects include a next-generation HCP web portal, healthcare data ingestion pipelines, NLP-based clinical entity extraction models, and dashboards for reporting. Infrastructure work centers on Terraform deployments and AWS scaling (Lambda, ECS, Fargate).