SmarterX provides specialized AI models that ingest, enrich, normalize, and structure product data from sources such as PDFs, labels, and data sheets, delivering accurate ingredient, hazard, and regulatory information for retail catalogs. The platform combines large‑language‑model intelligence with expert‑curated rules and a human‑in‑the‑loop verification layer to ensure compliance while reducing classification costs by up to 50×. Integrated data can be exported to ERP, PLM, or compliance systems, helping retailers manage safe handling, shipping, storage, and disposal at scale.
Funding
$75.7M raised to dateRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.
RVFounders
Product
Problem
Retailers often lack complete, accurate product data—including ingredients, hazards, and regulatory status—because information is missing, incorrect, or hidden in unstructured documents. This forces compliance, logistics, and safety teams to rely on manual spreadsheets, emails, and tribal knowledge, leading to costly guesswork, regulatory risk, and operational inefficiencies.
Solution
SmarterX delivers a suite of specialized AI models that ingest, enrich, normalize, and structure product information from diverse sources such as PDFs, labels, and data sheets. Built on large language models and refined by regulatory experts, the platform extracts key attributes needed for safe handling, shipping, storage, and disposal while maintaining enterprise‑grade data security. A human‑in‑the‑loop workflow validates AI outputs, ensuring regulatory accuracy without sacrificing speed. The resulting structured data integrates with retailers’ existing systems, reducing classification costs by up to 50× and enabling consistent, compliant product management across the supply chain.
Target Audience
Primary customers are retail brands, distributors, and e‑commerce operators that must manage large product catalogs while meeting safety, environmental, and regulatory requirements.
Features
- Specialized AI models for distinct retail compliance domains (transportation, waste, sustainability, claims, etc.) that extract ingredients, hazards, and regulatory classifications
- Large language model foundation combined with expert‑curated rules to deliver high‑accuracy enrichment while never training on customer data
- Human‑in‑the‑loop verification layer that provides expert review of AI‑generated product attributes
- Secure, enterprise‑grade architecture with isolated LLM accounts and contractual guarantees that customer data is not used for model training
- Automated normalization and structuring of product data into a unified schema ready for integration with ERP, PLM, or compliance systems
- Cost‑reduction engine that lowers manual classification effort, delivering up to 50× cheaper data processing