Tamis provides an AI‑driven platform that continuously scans online marketplaces for collectible items matching user‑defined criteria, automatically evaluates listings against pricing and rarity metrics, and can execute purchases on the user's behalf. The service delivers real‑time alerts and a centralized dashboard for tracking acquisitions and market analytics, helping dealers, collectors, and investors acquire inventory more efficiently.
Funding
Funding not disclosed
Founders
Product
Problem
Dealers, collectors, and investors in collectibles must continuously monitor multiple online marketplaces to spot relevant listings, a process that is time‑consuming and prone to missed opportunities.
Solution
Tamis offers an AI‑powered platform that continuously scans online marketplaces for collectible items matching user‑defined criteria. The system automatically identifies relevant listings, evaluates them against pricing and rarity parameters, and can execute purchases on behalf of the user. By handling search, evaluation, and transaction steps, the platform reduces manual effort and accelerates access to market opportunities. Users receive real‑time notifications and can review acquisition history through a centralized dashboard, enabling more efficient inventory building and investment decisions.
Target Audience
Primary customers are professional dealers, serious collectors, and investment firms that require timely acquisition of collectible items across multiple online platforms.
Features
- Continuous AI-driven crawling of major online marketplaces for specified collectible categories
- Customizable search filters for brand, era, condition, price range, and rarity metrics
- Automated purchase workflow that can place orders and handle payment processing securely
- Real‑time alert system delivering new matching listings via email, SMS, or in‑app notifications
- Central dashboard aggregating discovered items, purchase status, and historical acquisition data
- Built‑in analytics that compare listing prices to market benchmarks and suggest optimal buying windows