Seez, a Dubai-based pioneer in automotive AI, has entered a strategic collaboration with AutoData Middle East, the region’s gold standard for OEM (Original Equipment Manufacturer) data, to enhance predictive capabilities within AutoData’s platform, AutoData Analytics.
As part of this collaboration, Seez’s advanced AI models will power the Future Residual Value (FRV) module within AutoData Analytics. By applying Seez’s proprietary algorithms to AutoData’s extensive datasets, the partnership delivers more accurate and forward-looking residual value predictions, helping automotive stakeholders make smarter pricing, inventory, and investment decisions.
Seez, which was acquired by Pinewood.AI in 2025, has been building residual value intelligence since 2017, when it first launched RV modeling as one of its earliest monetized capabilities. Over the years, these models have been continuously refined through real-world deployment and direct work with regional OEM offices, including Hyundai and Jaguar Land Rover. This sustained focus has made Seez’s forecasting models more accurate and commercially relevant, supporting the company’s expansion into broader ecosystem integrations such as AutoData Analytics.
Residual value intelligence enables OEMs, dealers, and mobility businesses to analyze value retention, track price movements, forecast depreciation, and assess broader market health. These capabilities support stronger profitability, reduced operational risk, and more confident decision-making across the automotive lifecycle, from pricing strategy and leasing, to remarketing and fleet planning.
“Our goal has always been to turn raw data into a competitive advantage,” said Tarek Kabrit, CEO of Seez. “This partnership is about putting proven predictive models into the hands of more automotive businesses, directly within the platforms they already use.”
“Seez’s strength in AI-driven residual value modeling adds a powerful layer to our platform,” said Nour Abu-Safe, Head of Insights & Reports. “AutoData Analytics translates millions of data points into actionable insights, making complex automotive data easier to use at scale.”
This collaboration reinforces both companies’ commitment to advancing automotive intelligence, combining trusted data with proven AI to deliver practical, high-impact insights to the market.
