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Marisa.Care Tech Stack
AI infrastructure for hospitals automating patient workflows and clinical operations
Marisa.Care builds AI agents and interoperability layers for hospital networks in Brazil, automating appointment scheduling, clinical follow-ups, and critical finding detection. The stack reveals a healthcare-grade engineering operation: HL7/FHIR healthcare data standards alongside AWS/Azure cloud, MLOps tooling (MLflow, Databricks, SageMaker), and RAG pipelines for clinical document processing. Active projects span partner onboarding, hospital system integration (Tasy), and continuous model retraining—indicating a scale-up from initial product to managed services for hospital networks.
Tech Stack 30 technologies
Core StackAWS HubSpot .NET Node.js TypeScript React MongoDB SQL Server Oracle Python Apache Airflow Prefect MLflow Databricks SageMaker Kafka RabbitMQ RAG Go Azure Git HL7 v2 FHIR DICOM REST SOAP WhatsApp NVIDIA GCP DVC
What Marisa.Care Is Building
◆Challenges
- Expanding partner network
- Improving channel performance
- Patient engagement
- Health form completion
- Appointment scheduling
- Meeting aggressive sales targets
- Closing high-ticket b2b deals
- Legacy system integration
- Performance and scalability
- Clinical data quality governance
▲Active Projects
- Partnership program management
- Partner onboarding and training
- Co-creating business plans
- Integrated hospital solutions strategy
- Tasy mv integration
- Continuous model retraining pipeline
- Rag ingestion pipeline
- Mlops feature store and model registry
- Multitenant platform development
- Ai integration pipeline
Hiring Activity
10 roles · 6 in 30d
Department
Seniority
Notable leadership hires: Tech Lead
Company intelligence
