Kandu builds hardware and software for post-stroke rehabilitation, integrating robotics, EEG sensing, and brain-computer interfaces with telehealth delivery. The tech stack reveals a data-engineering-heavy operation: Fivetran, Airbyte, Prefect, Airflow, dbt, Python across Snowflake, BigQuery, and Redshift, plus a separate .NET/C#/Blazor backend for clinical and patient-facing systems. Active projects show simultaneous scaling of manufacturing (work-order prep, builds), enterprise data infrastructure (warehouse, ELT pipelines, predictive dashboards), and clinical evidence generation (real-world data, health economics), suggesting both a maturing medtech supply chain and a compliance-driven evidence strategy.
Kandu develops a rehabilitation platform for stroke survivors combining brain-activated therapy (EEG and BCI) with personalized telehealth. The company operates as a medical device manufacturer in the 51–200 employee range, headquartered in Los Angeles. Its operational footprint spans hardware manufacturing, data analytics, clinical operations, and sales. The hiring profile—heavy in sales and data roles, with accelerating velocity—indicates expansion into new regional markets and a shift toward data-driven reimbursement (health economics outcomes research).
Kandu runs on Salesforce (CRM), Fivetran/Airbyte (ELT), Prefect/Airflow (orchestration), dbt (transformation), and Snowflake/BigQuery/Redshift (data warehousing) on the data side; .NET, C#, Blazor, and Entity Framework Core on the backend; and Python for analytics.
Current projects include manufacturing work-order prep and assembly, enterprise data warehouse deployment, ELT pipeline development, predictive dashboards, regional sales expansion, and real-world evidence and health economics analyses for clinical publication.
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