Predictry
Predicts user preferences, sentiments, and behavior.
| Date | Investors | Amount | Round |
|---|---|---|---|
$200k | Seed | ||
| Total Funding | 000k | ||
| USD | 2021 |
|---|---|
| Revenues | 0000 |
| EBITDA | 0000 |
| Profit | 0000 |
| EV | 0000 |
| EV / revenue | 00.0x |
| EV / EBITDA | 00.0x |
| R&D budget | 0000 |
Source: Dealroom estimates
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Predictry, founded in 2013 by Seng Teong Chua and Kevin Gorges, operates as a machine learning technology company. The firm is positioned within the application software industry, focusing on providing predictive analytics solutions tailored for e-commerce and e-listing platforms. The core of Predictry's business is to assist clients in forecasting user preferences, sentiments, and behaviors to drive conversions, whether measured in views or purchases.
The company offers a self-optimizing online recommendation system as one of its primary products. This service is designed to enhance user engagement and sales by presenting relevant items to consumers. In addition to this standardized product, Predictry provides customized solutions for predictive analytics and develops bespoke systems to meet specific client needs. The business model centers on leveraging artificial intelligence, big data, and machine learning to deliver these services. By analyzing historical and current data, the technology aims to identify patterns that can predict future trends and actions, a common application in the e-commerce sector for functions like customer retention, personalized marketing, and dynamic pricing.
Predictry primarily serves businesses operating online, such as e-commerce stores and listing websites, that seek to improve their key performance indicators through data-driven insights. The company's technology helps these clients to better understand their customers and optimize their online platforms for increased interaction and transactions. The firm is headquartered in Petaling Jaya, Selangor, Malaysia.
Keywords: predictive analytics, machine learning, e-commerce recommendation engine, personalization, data mining, big data, customer behavior analysis, conversion optimization, online retail solutions, predictive modeling, sentiment analysis, e-listing sites, application software, user preference prediction, self-optimizing system, bespoke analytics, AI technology, customer engagement platform, online sales growth, data-driven marketing