AI patient-conversation platform delivering chronic disease insights to pharma
mama health runs an AI chatbot for people with chronic conditions and packages those conversations into structured real-world data for life sciences teams. Its stack pairs a broad data toolchain (Airflow, dbt, Dagster, Snowflake, BigQuery) with PyTorch, TensorFlow and LiteLLM, pointing to an LLM-driven data product. Current hiring is light and tilted to sales and legal, signaling a push to grow the commercial pipeline across Europe.
mama health is a Berlin-based, privately held company with 11–50 employees. It operates a platform where patients living with chronic diseases describe their care experiences and receive personalized, evidence-based support from an AI chatbot that also tracks symptoms and triggers. The company turns these patient conversations into structured real-world insights delivered through a dashboard. Its clients are life sciences teams that use the data to inform strategy, messaging and decision-making around chronic conditions.
mama health uses Python, FastAPI, TypeScript and React, data tools like PostgreSQL, Snowflake, BigQuery, dbt, Airflow and Dagster, ML frameworks PyTorch, TensorFlow and scikit-learn, plus LiteLLM across AWS, GCP and Azure.
mama health is headquartered in Berlin, Germany, and its current hiring is focused in Germany.
Yes, mama health has an open junior-level sales role in Germany alongside a legal internship, tied to building its commercial funnel across Europe.
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mama 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 →
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