AI-powered operations platform for health plan claims and utilization management
Alaffia builds AI-assisted operations software for health plans, focused on claims processing, payment integrity, and utilization management. The stack reveals a modern, API-first architecture (GraphQL, React, Next.js, PostgreSQL) paired with orchestration tools (Apache Airflow, Pulumi, Kubernetes), and they're actively adopting Cursor — signaling rapid AI-assisted development velocity. The hiring mix skews heavily toward engineering and data (8 of 13 roles), with senior and lead-level positions dominating, indicating they're scaling infrastructure and ML capabilities to handle the complexity of clinical decision automation.
Alaffia operates as an outsourced operations partner for health plans, automating and augmenting workflows across utilization management, payment integrity, and appeals processing. Founded in 2020 and headquartered in New York, the company employs 51–200 people and serves mid- to large-market health plans. Their product suite combines clinical expertise with generative AI to reduce improper payments, detect claims leakage, and accelerate authorization and appeals workflows. Active projects reveal a heavy emphasis on GenAI—including agentic workflows, GenAI framework development, and an AI-driven medical billing and auditing platform—alongside traditional ETL and customer onboarding infrastructure.
Core: Python, TypeScript, React, Next.js, GraphQL, PostgreSQL. Orchestration: Apache Airflow, Kubernetes, Pulumi, AWS, Azure. Operations: Rippling, Retool, Datadog, Splunk. Sales/intelligence: HubSpot, Salesforce, Gong, ZoomInfo. Now adopting Cursor for AI-assisted development.
AI-powered claims automation, payment integrity platforms, and utilization management tools. Active projects include agentic AI workflows, GenAI framework development, scalable ETL pipelines, Retool reporting apps, and AI-driven medical billing auditing systems.
Alaffia 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.