mama health Tech Stack

Real-world evidence platform capturing patient journeys for pharma and life sciences

Hospitals and Health Care Berlin 11–50 employees Privately Held

mama health operates a two-sided data platform: a patient-facing app that collects structured chronic disease experiences via AI-assisted conversations, and a B2B SaaS dashboard that surfaces actionable insights for pharma and life sciences clients. The tech stack is heavily weighted toward data infrastructure (PostgreSQL, BigQuery, Snowflake, dbt, Airflow, Dagster), indicating a company built around scale and reliability of the evidence collection and transformation pipeline—a critical requirement when patients are the data source and clients depend on data quality for clinical and commercial decisions.

Tech Stack 25 technologies

Core StackFigma Python PostgreSQL MySQL BigQuery Snowflake Redshift Apache Airflow dbt Dagster Prefect pandas scikit-learn PyTorch TensorFlow AWS TypeScript React FastAPI SQL GCP Azure LiteLLM

What mama health Is Building

◆Challenges

Acquiring pharma clients
Major launch preparation
Scaling design system
Unreliable observation of patient care path
Pipeline reliability and performance
Scaling platform with data volume growth

▲Active Projects

Patient app
Patient journey analytics platform
Client rollout plans
Design system
Building data backbone of real-world evidence platform
Implementing monitoring and quality checks for pipelines
Scaling platform with data volume growth
B2b saas analytics platform

Hiring Activity

Decelerating7 roles · 1 in 30d

Department

Data

Design

Engineering

Sales

Support

Seniority

Senior

Mid

Lead

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About mama health

mama health builds an AI-powered platform that bridges patient experiences and pharma innovation. Patients share their chronic disease journeys through a conversational app; the company structures those narratives into real-world evidence and surfaces patterns in a B2B dashboard for life sciences teams. The platform is engineered to handle both the conversational AI layer (Python, PyTorch, TensorFlow, FastAPI) and the heavy lifting of evidence aggregation and analytics (Snowflake, dbt, Airflow). The company is based in Berlin and operates with a lean team across engineering, data, design, sales, and support. Active projects span patient app development, journey analytics, pipeline reliability, and a design system—reflecting simultaneous focus on product maturity and data infrastructure as the company prepares for scaled client adoption.

HeadquartersBerlin

Company Size11–50 employees

Hiring MarketsGermany

Frequently Asked Questions

What tech stack does mama health use?

Data infrastructure: PostgreSQL, MySQL, BigQuery, Snowflake, dbt, Airflow, Dagster. ML/AI: Python, PyTorch, TensorFlow, scikit-learn. Backend: FastAPI, TypeScript, React. Cloud: AWS, GCP, Azure.

What is mama health working on?

Patient app and journey analytics platform, B2B SaaS analytics dashboard, design system, data backbone for real-world evidence, pipeline monitoring/quality checks, and scaling platform for growing data volume.