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SonarFetch

AI SaaS platform centralizing and normalizing electronic component data from hundreds of fragmented manufacturer sources.

Stack
FastAPICeleryMistralTypesenseReactPostgreSQL
ExperienceSonarFetch

Problem

Operational teams spent days manually structuring heterogeneous product data from hundreds of different manufacturer sources.

Approach

AI pipeline combining scraping, LLM normalization (Mistral), and semantic indexing via Typesense. Async FastAPI/Celery backend to handle volume at scale.

Impact

Processing time reduced from days to minutes. Evolved from a Steliau PoC into a fully industrialized SaaS platform.