AI-powered auditing platform for healthcare payment integrity in Brazil
Arvo detects overpayments and leakage in Brazilian healthcare transactions using a data-heavy stack (GCP, AWS, Postgres, BigQuery, Spark, Airflow) layered with automation tools (UiPath, Playwright, Selenium) and HL7/medical data standards. The hiring mix—senior data and engineering roles alongside one sales opening—reflects a product-led phase: they're building the data foundation and AI layer (copilot platform, anonymization pipelines, analytics) before scaling sales reach.
Arvo builds AI-powered audit solutions for Brazilian health operators and administrators. The platform ingests healthcare payment transactions, detects anomalies and overpayments before they settle, and flags operational errors and fraud. Their technology stack spans cloud infrastructure (GCP/AWS/Azure), data processing (BigQuery, Spark, Airflow, Mage), and RPA tooling (UiPath, Automation Anywhere), alongside HL7 protocol support for health system interoperability. Founded in 2022, Arvo operates in São Paulo and currently hires only in Brazil. Active development focuses on an audit copilot, client portfolio analytics, and integration bridges to major health operator systems.
GCP, AWS, Azure, PostgreSQL, Redis, BigQuery, Apache Spark, Airflow, Kubernetes, Go, Python, Node.js, UiPath, Automation Anywhere, HL7, and Playwright for automation.
An audit copilot platform, automated data ingestion for health payments, data anonymization pipelines, reporting dashboards, and integrations to health operator systems.
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