AI-powered telehealth platform connecting patients, ophthalmologists, and optical retailers across Brazil
Eyecare Health operates a healthcare IT platform built on Python, TensorFlow, and PyTorch for AI-driven vision screening and telemedicine, deployed across AWS, GCP, and Azure. The tech stack and active projects reveal a company scaling microservices architecture and optimizing acquisition funnels—matching a hiring acceleration centered on engineering and data roles to support both product evolution and sales efficiency. Pain points around CAC reduction and sales cycle compression signal a transition from product-first to revenue-focused operations.
Eyecare Health is a Brazilian healthtech company founded in 2019 that provides integrated digital solutions for ophthalmology care. The platform connects patients, ophthalmologists, optical retailers, health insurers, and administrators. The core product, Benefício Visão, includes chatbot-driven vision screening, AI-powered vision testing, online consultations, and specialized eye care management. As of the data snapshot, the company serves over 4 million patient records across 26 states plus the federal district, working with more than 1,000 ophthalmologists and 5,000 optical partners. The 11–50 person team operates entirely from Brazil.
Core stack: Python, TensorFlow, PyTorch, SQL, Apache Airflow, Prefect, Apache Spark. Deployment: AWS, GCP, Azure. Analytics: Power BI, Tableau, Metabase. CRM/ops: HubSpot, Pipedrive, Jira, Azure DevOps. Testing: Cypress, Playwright, Selenium.
Microservices architecture evolution and scalable web solutions. Growth-side: landing page optimization, acquisition funnel structuring, and digital campaign execution. Internal: creative production standardization and visual identity consolidation.
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