Auryth is a Swiss-founded technology company building the next generation of AI-powered research tools for professionals in highly regulated sectors. The company's mission is to make authoritative knowledge instantly accessible while maintaining the rigorous source standards that regulated industries demand. Unlike general-purpose AI tools, Auryth's platforms are trained on domain-specific corpora and designed with compliance professionals in mind, ensuring that every response can be traced back to a primary legal or regulatory source.

The company's flagship product, TX AI, covers the full Belgian tax corpus including federal and regional legislation, parliamentary preparatory works, administrative circulars, advance rulings, court decisions from all jurisdictions, and leading tax doctrine. The platform applies authority ranking to weigh sources by legal hierarchy — distinguishing between binding legislation, persuasive case law, and administrative guidance — so professionals can immediately gauge how much weight to give each citation. Temporal versioning ensures that users always see the law as it applies at the relevant point in time, eliminating the risk of relying on superseded provisions.

Auryth's multilingual interface serves Belgium's diverse professional landscape across Dutch, French, German, and English, reflecting the linguistic complexity of Belgian tax practice. The platform is designed for daily use by accountants, tax advisors, corporate tax departments, and multi-family offices who need to research complex questions under time pressure. Rather than replacing professional judgment, Auryth accelerates the research phase so practitioners can focus on analysis, advisory, and client service.

A second vertical targeting veterinary pharmacovigilance is currently in development, applying the same core technology — semantic search, confidence scoring, and citation transparency — to MRL verification, withdrawal period tracking, and species-specific safety data. This expansion reflects Auryth's broader vision of becoming the trusted AI research layer across multiple regulated industries where professionals cannot afford to be wrong.

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