ZineOne provides an in-session marketing platform that uses AI to score visitor behavior and personalize website and app experiences for e-commerce brands. The system observes a visitor’s first few clicks or taps and analyzes anonymized, granular session events (product detail views, cart updates, checkouts) to predict outcomes in real time. Its early purchase prediction model tells brands within five clicks which anonymous visitors are highly likely to buy, who is on the fence, and who is unlikely to purchase, enabling targeted messaging, discounts and product recommendations. Customers named in the article include Men’s Wearhouse, Wynn Resorts, Advance Auto Parts and Kohl’s. ZineOne also says its AI can predict friction points and price sensitivity; its roadmap focuses on productizing new predictive models, building new data visualizations and launching a self‑service dashboard. The company plans to grow headcount by 70% by the end of the year and has raised a total of $42 million to date. ZineOne provides a next-generation customer engagement hub that connects disparate customer data streams and applies machine learning algorithms to create actionable insights used during real-time interactions. The platform is aimed at banks and retailers and can surface personalized actions in branches, stores, e-commerce sites and mobile apps. Led by CEO Debjani Deb, the company emphasizes machine learning and artificial intelligence capabilities in its product. ZineOne intends to use its recent funding to accelerate sales and marketing and to execute its product roadmap. The company also plans significant investment in hiring talent focused on machine learning and AI. Financially, ZineOne completed a $2.5M Series A round to support these initiatives.

Total raised

$31M

Funding rounds

2

Latest round

Series C

Latest activity

Sep 2022