Tembi operates a data-driven market intelligence platform centered on web scraping, event-driven pipelines, and predictive analytics for business development teams. The tech stack—Python, TypeScript, Kafka, RabbitMQ, Scrapy, Playwright, Selenium across Azure, AWS, and GCP—reveals a data-collection-first architecture optimized for scale. Active projects show a clear focus on improving scraping robustness and pipeline performance, with conversational AI layered on top; the engineering-to-data hiring ratio (4:2) and pain-point concentration on anti-bot resilience and large-scale ingestion underscore that data reliability is the foundational challenge.
Tembi builds a market intelligence platform that combines external data sources, web scraping, and AI-driven analytics to help mid-market and enterprise business development teams uncover growth opportunities and industry trends. Founded in 2022 and headquartered in Copenhagen, the company operates with a lean engineering-focused team (11–50 employees) centered on data collection, pipeline infrastructure, and predictive modeling. The product surfaces actionable insights across verticals including e-commerce and real estate by allowing customers to query and analyze curated external datasets. Distribution appears primarily sales-driven rather than self-serve, with a concentrate on Northern European markets.
Python, TypeScript, Kafka, RabbitMQ, and Azure Service Bus for event-driven architecture; Scrapy, Playwright, and Selenium for web data collection; Docker, Terraform, and Azure Bicep for infrastructure; deployed on Azure, AWS, and GCP.
Data collection and web scraping technology, event-driven systems using messaging platforms, predictive analytics, and conversational AI tools. Current priorities include improving scraping robustness and scaling data ingestion pipelines.
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