OmniEase AI

OmniEase AI — A defensible HTS classification reasoning corpus with the licensed expert's decision on it. For each product researched the platform produces a full classification analysis - HTS code with GRI-based rationale, chapter and section note references, and cross-ruling context from prior customs rulings - plus a complete duty stack computed together rather than in isolation (base duty, Section 232 metals and derivatives, Section 301, antidumping and countervailing exposure, trade-programme treatment), Partner Government Agency requirement flags against the product profile (FDA, CPSC, …

OmniEase AI offers (Alternative, Fundamental, Supply Chain, Reference) — Request further research - no query, research-record or decision count is published, and unlike peers in this cohort the vendor quantifies nothing. Volume scales with entries researched per broker desk and the archive is likely young, so the count of classification analyses and accumulated accept-adjust-reject decisions is the single decisive question for this lead.

Training and evaluating classification models on expert-corrected reasoning chains, which is more valuable than code-only labels because it supervises the justification and not just the answer - the accept-adjust-reject loop is effectively a licensed-expert RLHF signal; chain-of-thought distillation using GRI-sequenced analyses with cited authority; hallucination and legal-citation evaluation for regulatory AI, since each analysis references verifiable chapter and section notes; tariff pass-through research using duty-stack composition by HTS code and origin as a ground-truth rate series independent of published rate tables; antidumping and countervailing exposure screening; a dated policy-transmission series from Federal Register and proclamation alerts mapped to affected codes and lanes; and multi-jurisdiction classification research across 90-plus destination markets

The data is with 1 years of history.