AI clinical scribe for ambient note generation in healthcare
Tandem builds an ambient scribe that transcribes patient consultations and auto-generates medical notes—freeing clinicians from documentation overhead. The tech stack spans Python, TypeScript, Kubernetes, and cloud infrastructure (Azure, AWS, GCP) alongside LLM foundation models (GPT, Whisper), with data infrastructure (BigQuery, Snowflake, Kafka, Airflow) suggesting they're managing both real-time transcription pipelines and longitudinal clinical data at scale. The hiring mix is sales-led (17 roles) and ops-focused (14 roles), signaling a market-expansion phase across Europe while simultaneously scaling internal safety and compliance operations.
Notable leadership hires: Head of Data, Head of Security, Clinical Research Lead
Tandem provides a clinician copilot that listens during patient consultations, transcribes them, and drafts medical notes for direct integration into healthcare systems. The product operates under full GDPR and local patient data compliance. The company is based in Stockholm and operates across 14 European countries (Sweden, France, Belgium, Estonia, Denmark, Netherlands, Norway, United Kingdom, Italy, Spain, Germany, Portugal, Lithuania, Finland), with active projects including rollout across NHS sites in the UK and adoption expansion in Denmark and Norway. Current focus areas include clinical safety incident management, customer success infrastructure, and clinical research strategy across multiple markets.
Core stack: Python, TypeScript, React, Kubernetes, GPT, Whisper. Cloud: Azure, AWS, GCP. Data layer: BigQuery, Snowflake, Redshift, Databricks, Kafka, Apache Airflow. Ops tools: Terraform, Helm, Argo Workflows, HubSpot, Outreach.
Primarily Europe: Sweden, France, Belgium, Estonia, Denmark, Netherlands, Norway, United Kingdom, Italy, Spain, Germany, Portugal, Lithuania, Finland.
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