A group of gemologists and mathematicians started work on a web-based application for the appraisal of gemstones. Initially, we planned to develop a web tool to specifically evaluate natural sapphires. However after testing dozens of models, we discovered that the same statistical approach we'd developed for sapphire valuation could be applied to almost any variety of gemstone. Thus, after a year of compiling data and testing, Gemval.com was conceived.
Gemval.com is launched, and 480 new users registered during its first week online!
Open Alias Corporation acquires Gemval.
Gemval offers a paid-subscription service for precious gemstones, however appraisals for most of the natural gemstone varieties remain free of charge. Gemval becomes renowned in the jewellery community.
Gemval is the first to market. We begin to publish historical-value charts, and the Gemval Aggregate index (GVA).
Gemval appointed as an approved data supplier for the provision of valuation data and pricing indices for the Market News Service, The International Trade Centre UNCTAD/WTO, Geneva.
Gemval extends its statistical database, with specific color pattern parameters added for the rare gemstone varieties.
Gemval develops the color grading system and valuation model for precious opals. Gemval releases a diamond valuation service online.
Gemval serves 1500-2000 users per day worldwide. We undertake work for gem cutters, online gemstone dealers, auction houses, private collectors, consulting institutions and governmental organizations. We now count among our partners and customers:
- Price Waterhouse Coopers
- The World Trade Center
- Jewelry Television
- The International Gem Society
- The US Department of Homeland Security
- The Australian Government
Gemval is now operated by the company “Moreno Y Nicoleta” with its headquarters in Spain. A new customer support system was introduced this year, payments are now accepted via PayPal and Stripe.
Gemval website undergoes a significant rebranding and redesign. Now it provides full support for mobile devices and better user experience. The accuracy of price predictions has been improved by using more data sources and changes in the core algorithm. Modern machine learning techniques and data analysis are in place to provide gemstone market insights to our customers.