Altana operates a network platform connecting enterprises and government agencies around supply chain transparency and international trade. The tech stack—Python, PySpark, Databricks, Delta Lake, Snowflake—reveals a data-heavy architecture built for large-scale entity resolution and network analysis. Adopting dbt signals a shift toward standardized transformation pipelines as the platform scales its world-scale dataset and API surface. Sales hiring (14 open roles) outpaces engineering (12), indicating a product-market fit phase where go-to-market velocity matters as much as feature velocity.
Notable leadership hires: Director of Product Management, Chief of Staff, Government Affairs Director
Altana builds an AI-powered network platform for global trade, enabling businesses and government agencies to collaborate on supply chain resilience, trade compliance, and national security. The company serves mid-to-large enterprises and government institutions across manufacturing, logistics, and defense sectors. The platform combines world-scale datasets with machine learning (entity resolution, transaction screening) and API-first architecture to surface supply chain risks and enable regulatory compliance. Operations span the United States, United Kingdom, and Netherlands, with headquarters in New York.
Core stack: Python, PySpark, Databricks, Delta Lake, Snowflake, BigQuery. DevOps: Kubernetes, Docker, AWS, Azure. Monitoring: Prometheus, Grafana, Datadog. BI: Looker, Tableau. CRM: Salesforce. Adopting dbt for data transformation.
United States (primary), United Kingdom, and Netherlands. Headquarters in New York, NY.
Altana'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.