H1 operates a data-heavy healthcare platform built on Apache Spark, Databricks, and PostgreSQL, with TensorFlow and PyTorch for AI workloads — a classic data-engineering stack. The company is actively scaling distributed ETL pipelines and entity resolution (via their Emerald platform) to handle provider data ingestion and enrichment at volume. Hiring skews heavily toward data roles (6 of 20 active positions), with senior/staff engineers and directors, reflecting infrastructure-scaling and data-quality challenges as their primary operational constraint.
H1 connects healthcare organizations with the right clinical professionals through an AI-powered platform built on a global dataset of healthcare providers. The product serves pharmaceutical, medical research, health plan network, and patient-matching use cases. The platform ingests, processes, and enriches healthcare professional data using distributed Spark pipelines and machine-learning models, then surfaces it through Salesforce integrations and proprietary workflows. The company operates across the US and India, with 201–500 employees founded in 2017.
H1 uses Apache Spark, PySpark, Databricks, PostgreSQL, and AWS (EMR, EKS) for data processing. TensorFlow and PyTorch power AI workflows. Salesforce (Sales Cloud, Data Cloud, Revenue Cloud) integrates with Outreach and SalesLoft for go-to-market. Entity resolution and enrichment run on Delta Lake.
New York, NY. The company also hires in India and operates globally to support healthcare provider data collection and enrichment.
H1'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 →
This is not an official vendor or customer list. It is a technology-adoption signal inferred from public data, intended for B2B research.