As Palowise expanded its footprint beyond Southern Europe into high-density, dynamic growth markets like India and Nigeria, its core data ingestion infrastructure faced significant operational pressure:
- Volume & Velocity: Markets like India produce immense volumes of public posts, comments, and interactions across multiple networks per second, overwhelming standard web scraping pipelines.
- Regional & Cultural Nuances: Capturing complex linguistic, regional, and contextual nuances in emerging markets required clean, uncorrupted, and high-completeness social data.
- Scraper Maintenance Burden: Internal engineering teams were spending valuable time maintaining fragile, custom-built scrapers and adjusting to constant platform API updates rather than focusing on building core AI/LLM models.
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