Technology and semiconductor company Qualcomm, recently announced a collaboration with AI software company, Wayve, with an aim to lower barriers to deploy AI based advanced driver assistance systems (ADAS) at scale.

The companies say the collaboration aims to create a clear path for OEMs to move from level 2 driver assistance toward hands-off driving and, over time, eyes-off full level 4 capability.

The solution is designed to scale across vehicles and markets on a shared platform foundation for future automated driving and robotaxi use cases.

We spoke to Anshuman Saxena, VP & GM, ADAS and Robotics, Qualcomm Technologies, Inc to learn more about the collaboration and how the software works.

Just Auto (JA): How did the two companies come to be working together, and what does the partnership hope to achieve?

Anshuman Saxena (AS): The collaboration between Qualcomm Technologies and Wayve centres on a pre-integrated, production-ready solution that simplifies implementation for automakers, focused on their priorities around safety, reliability, scalability, and time-to-market – specifically for high levels of autonomy. At the core of Qualcomm Technologies’ strategy is a platform that stands on its own while remaining open, forming the basis for a broad ecosystem of software partners.

Qualcomm’s Snapdragon Ride Platform and tightly integrated Active Safety software provide the foundational compute and safety architecture, already deployed across automotive programmes worldwide. Wayve brings a mature end-to-end AI driving intelligence layer that learns directly from large-scale, real-world data and is designed to deliver adaptable performance across regions, road types, and driving environments. This combination of Qualcomm Technologies’ platform maturity and global scale with Wayve’s embodied AI driving intelligence creates a practical, production-ready path for automakers.

The collaboration is built around a simple principle: automakers shouldn’t have to significantly adjust their product plans to fit a rigid system.By delivering a pre-integrated platform, the collaboration offers a solution to combining disparate systems, helping automakers move faster from development to deployment. We’re also expanding choice and flexibility for the industry by introducing Wayve AI Driver as a new, high-performance software option for Snapdragon Ride customers, enabling them to standardise across programmes and regions while retaining the flexibility to differentiate their brands.

Could you discuss the new Wayve AI options that Snapdragon Ride customers can now use?

For Snapdragon Ride customers, this collaboration introduces Wayve’s AI Driver as a new software option. Wayve brings a next-generation end-to-end AI driving capability that works alongside Qualcomm Technologies’ established compute and Active Safety software. Designed as a flexible, vehicle-agnostic software, the Wayve AI Driver serves as the intelligence layer for autonomy across diverse vehicle types and global markets. This data-driven software stack learns directly from large-scale real-world data, enabling adaptable performance across regions, road types, and driving environments.

The pre-integration of Wayve’s AI Driver with Snapdragon Ride gives automakers a practical deployment path for L2+ ADAS and Automated Driving capabilities. This enables automakers to leverage Qualcomm Technologies’ proven platforms and Wayve’s AI capabilities to design systems that scale across vehicle lines and markets, without being locked into a single architecture. It is designed to support hands-off driving assistance and expand towards eyes-off capabilities over time.

By reducing the integration complexity of bringing together the SoC, Active Safety systems, and AI Driver, automakers can move faster from development to deployment, significantly reducing cost, complexity, and risk compared to fragmented and closed approaches. Software and AI portability are designed into the platform, meaning these capabilities can be reused and scaled across platforms, vehicle tiers, and model years. As part of the collaboration, we’re also exploring opportunities to leverage Qualcomm Technologies’ SoCs in future Level 4 robotaxi applications, extending the platform’s potential beyond current consumer vehicle deployment.

Could you discuss how the software learns driving behaviour directly from large‑scale real‑world data?

The Wayve AI Driver is a data-driven software stack, designed to learn driving behaviour directly from large-scale, real-world data. This is central to its ability to deliver adaptable performance across diverse markets and driving conditions. Unlike traditional rule-based and map-dependent systems, Wayve has built an “embodied AI” approach to autonomous driving: software built to enable vehicles to learn, perceive, understand, and navigate complex real-world environments, rather than simply following pre-defined instructions.

Fundamental to this approach is Wayve’s AV2.0 strategy, which centres on a unified foundation model trained on globally diverse data, encompassing a wide range of driving scenarios and conditions encountered around the world. This enables the AI Driver to generalise its knowledge across different markets and vehicle platforms, reducing reliance on location-specific engineering adjustments, removing a significant barrier to global deployment. The result is a flexible and scalable AI which is focused on practical deployment across vehicle segments and markets, not one-off high-end applications.

What are the benefits to customers as well as automakers?

The collaboration between Qualcomm Technologies and Wayve is designed to deliver value on two levels: for automakers building and deploying these systems, and for the drivers who experience them.

For automakers, the core benefits centre on efficiency, flexibility, and speed to market. A pre-integrated ADAS/AD system reduces development cycles, effort, and risk, helping them bring advanced features to market faster and more cost-effectively. The open architecture gives automakers the freedom to design ADAS that fits their vehicles, their markets, and their timelines. Software and AI portability means these capabilities can be reused across platforms, tiers, and model years, so OEMs don’t have to reinvent the system every time; they can focus on getting real solutions into real vehicles.

For drivers, those efficiencies translate into more capable, reliable driving assistance features, available sooner and across a wider range of vehicles. Wayve’s data-driven AI helps enable more consistent performance across regions, road types, and driving environments, whether navigating a busy urban centre or a motorway in a different country. From entry-level hands-off assistance to more advanced eyes-off capabilities, the platform supports a natural progression in driving capability, with over-the-air updates enabling continued improvements over the vehicle’s lifetime. Advanced driver assistance is no longer limited to high-end models; this is technology that automakers can realistically bring to production across their full vehicle range, putting these safety capabilities within reach of more drivers.

What do you see the future holding for ADAS technology and its scaling?

The direction of travel is clear. We anticipate a strong acceleration towards increasingly pre-integrated solutions, which will simplify the development and deployment process for automakers and enable ADAS features to scale beyond the premium tier, becoming standard across a wider range of models and brands.

The industry is on a clear path to higher levels of autonomy, transitioning naturally from today’s hands-off capabilities (Level 2/2+) to eyes-off driving (Level 3). As part of the collaboration, we are also exploring future applications, including longer-term Level 4 robotaxi use cases based on SoCs from Qualcomm Technologies’ Snapdragon Ride Platform.

As vehicles become defined by their software capabilities, the intelligence layer becomes the core differentiator, with AI capability becoming central to how vehicles evolve over time. ADAS doesn’t scale in isolation – openness and ecosystem collaboration are what turn promising technology into something the industry can deploy. The ability to achieve global deployment across diverse driving environments and regulatory frameworks without extensive re-engineering will be a defining characteristic of the platforms that succeed.

Automakers are at different stages with different strategies; an open platform that supports multiple software paths lets them move at their own pace.Qualcomm Technologies is focused on building the foundation that allows advanced driving software to scale efficiently, preserving choice as the market and technology continue to evolve.

“Qualcomm and Wayve: Collaborating for driver assistance” was originally created and published by Just Auto, a GlobalData owned brand.

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