Metadata-driven platform automating data integration, transformation, and quality
TimeXtender builds a metadata-driven data platform positioned around data governance and portability — notably absent from their stack are Snowflake, dbt, or other mainstream cloud data warehouse tools, suggesting intentional vendor-agnostic design. Heavy investment in partner-led and direct-to-market motions (5 active sales roles, campaigns around channel development and lead scoring) indicates a shift from product-first adoption toward a sales-driven growth model, with hiring concentrated in Nordic markets.
TimeXtender delivers AI-ready data by automating the full data lifecycle — integration, transformation, quality assurance, and orchestration — through a metadata-driven platform. The product targets organizations that need portable data logic and governance confidence across heterogeneous stacks. Founded in 2006, the company operates from Aarhus, Denmark with a small, senior-heavy team of 51–200 employees. Core capabilities span data discovery, semantic layers, data quality, and data observability, with a specialization in Microsoft platform integration.
Primary stack includes C#, .NET, Blazor, Python, JavaScript, SQL, and GitHub Copilot. Integration and workflow tools span n8n, Zapier, Workato, and HubSpot. Testing uses Playwright, Cypress, and Selenium.
Aarhus, Denmark. The company was founded in 2006 and is privately held, with active hiring expansion in Nordic markets.
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