NLG platform for automated product content and data structuring at scale
uNaice builds natural-language generation tools to auto-produce SEO product descriptions, category pages, and news content across 110+ languages. The stack is Python/FastAPI backend with React frontend, deployed on AWS/Azure. Active projects span automated data enrichment pipelines, video-avatar content via HeyGen, and SaaS sales to niche verticals (landscaping, construction drying) — suggesting a shift from pure software licensing toward vertical-specific solutions and media/editorial networks.
uNaice is a 11–50-person software company headquartered in Werther, Germany, founded in 2015. They operate three product lines: automated text generation (500,000 SEO-optimized product descriptions per run, available in 110+ languages), data preparation (extracting and structuring unstructured product data into machine-readable ontologies), and content feeds (auto-curated news and lead-stream content for B2B websites). The customer base skews toward eCommerce platforms and B2B services firms scaling multilingual content or automating data capture from legacy systems. Engineering and sales hiring is steady and distributed equally across the small org.
Python, FastAPI, Flask, Django, React on AWS and Azure. Data processing via Pandas and NumPy; APIs via REST and GraphQL. Also using GPT and HeyGen for content generation.
Currently Germany only. All active hiring is based in Germany.
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