China intelligence platform built on OSINT, web scraping, and AI
Datenna delivers techno-economic intelligence on China—mapping government ties, defense connections, investment flows, and academic research—for compliance, export control, and investment screening. The tech stack reveals a data-acquisition-first architecture: Python (Scrapy, BeautifulSoup, Playwright, Selenium) for web scraping, Kubernetes + Docker for infrastructure scaling, and Go for backend services. Active hiring in data (6 roles) and research (4 roles) outpaces engineering (2 roles), signaling that the bottleneck is data sourcing and validation, not product iteration—consistent with pain points around scraper robustness, data provenance, and transforming raw OSINT into trusted intelligence.
Notable leadership hires: Chief Data Officer
Datenna is a Netherlands-based intelligence platform founded in 2017, operating from Eindhoven. The product maps China's economic and academic landscape through proprietary research and automated data collection, capturing shareholder structures, geolocation, management teams, patents, military procurements, investments, government funding, and research connections. The platform serves multinational corporations, financial institutions, and government agencies navigating China exposure. The organization scales around data acquisition (web scraping, proxy infrastructure, academic/government portal monitoring) and research curation (in-house China experts validate and contextualize findings). Current hiring focus is data engineers and researchers; they operate in the Netherlands and United States.
Python-based web scraping (Scrapy, BeautifulSoup, Playwright, Selenium), proxy infrastructure with rotation, and Selenium Grid for distributed scraping. Data flows through Docker/Kubernetes for scaling.
Eindhoven, North Brabant, Netherlands. 51–200 employees, privately held, founded 2017.
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