Seez and AutoData Partner to Revolutionise MENA Automotive Value Forecasting

Mohammed Fathy

Last updated 8-05-2026

4 min

Seez has teamed up with AutoData to enhance future vehicle value forecasts.

Its AI models will power the “Future Residual Value” module in AutoData Analytics.

The partnership blends proprietary algorithms with OEM-grade data for sharper predictions.

Accurate residual values protect margins for dealers, leasing firms and OEMs.

Backed by Pinewood, Seez gains scale as MENA shifts towards data-led decisions.

Seez, the Dubai-born automotive AI company, has teamed up with AutoData Middle East in a move that could quietly reshape how car values are forecast across the region. The partnership will see Seez’s artificial intelligence models integrated into AutoData Analytics, specifically powering its Future Residual Value (FRV) module.

In simple terms, this is about predicting how much a vehicle will be worth down the line, a detail that can make or break margins for dealers, leasing firms and OEMs. By combining Seez’s proprietary algorithms with AutoData’s deep well of OEM-grade data, the two companies say they can deliver sharper, more forward-looking residual value forecasts.

Residual value intelligence might sound like industry jargon, but it’s at the heart of automotive strategy. It helps businesses track depreciation, monitor price shifts and gauge overall market health. For OEMs and dealers, these insights feed into pricing, leasing models, fleet planning and remarketing. Get it right and you protect profitability. Get it wrong and, well… it can become a costly guessing game.

Seez has been working on this problem for a while. The company began building its residual value modelling capability back in 2017, one of its earliest revenue-generating tools. Since then, the models have been refined through hands-on collaborations with regional OEM offices, including Hyundai and Jaguar Land Rover. That continuous real-world testing has strengthened the commercial accuracy of its forecasts and paved the way for integrations like this one.

Tarek Kabrit, CEO of Seez, said the company’s mission has always been to turn raw automotive data into a competitive edge, adding that the tie-up with AutoData places proven predictive models directly inside platforms businesses already use. On the other side, Nour Abu-Safe, Head of Insights & Reports at AutoData Middle East, noted that Seez’s AI-driven residual value expertise adds another powerful layer to AutoData Analytics, which already processes millions of data points to generate actionable insight.

AutoData Middle East, part of the Skelmore Group, has operated in the UAE, Saudi Arabia, Kuwait, Oman, Qatar and Bahrain since 2010. It is widely regarded as a trusted source of vehicle data and history reports, supporting insurers, dealerships and transaction services. The company was also recognised last year as an AI-Based Estimating Solutions Provider at the 2024 InsureTek Golden Shield Excellence Awards, a detail that signals how seriously it’s leaning into advanced analytics.

As for Seez, the company was acquired in 2025 by Pinewood Technologies Group PLC, also known as Pinewood.AI. Pinewood, established in 1981 and formerly part of Pendragon PLC, now operates as an independent, cloud-based technology provider serving automotive retailers and OEMs in more than 36 countries. It supports over 50 OEM brands globally. That backing arguably gives Seez the distribution muscle to scale its AI capabilities well beyond its original footprint of 25 markets.

I’ve seen first-hand how complex pricing decisions can slow dealerships down, especially in markets where demand swings quickly. At Arageek, we often hear founders say that data is everywhere but clarity is rare. Partnerships like this aim to close that gap. And believe it or not, even small improvements in residual value forecasting can ripple across an entire portfolio.

That said, success will depend on adoption. Integrations can sometimes be a bit of a faff, and technology is only as good as its implementation. Still, combining trusted OEM datasets with AI models that have been tested in the field sounds, on paper at least, pretty spot on.

For the wider MENA automotive ecosystem, where margins are under pressure and digital transformation is no longer optional, this collaboration signals a clear direction of travel. Smarter forecasting. Better risk management. And perhaps, over time, a more resilient industrty built on data rather than instinct alone.

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