Merifund Capital Management: AMD, Arm, Qualcomm Back Wayve

Rival chip groups back a fresh extension to Wayve's Series D funding, highlighting momentum for mapless, end-to-end autonomous driving software that can run across different automotive platforms as procurement teams prioritise supply resilience.

Merifund Capital Management is tracking a funding extension disclosed this week for Wayve, the British autonomous driving developer, as Qualcomm, AMD and Arm line up behind the same software-first approach to vehicle automation in an industry that usually splits along competing silicon roadmaps.

The transaction, in the words of Merifund Capital Management Pte. Ltd.'s Director of Private Equity Anthony Saunders, represents "a rare show of unity among rivals, and a clear hint that carmakers want autonomy software that travels across chips rather than locking them into one stack". In the latest disclosure, the extension totals $60 million and adds three household names in automotive computing to a shareholder register that already spans cloud infrastructure, mobility platforms and global manufacturers.

With the extension in place, Wayve's Series D financing totals $1.2 billion, with the earlier tranche in the first quarter bringing in SoftBank Vision Fund 2, Eclipse and Balderton alongside Microsoft, U b e r, Mercedes-Benz, Nissan and Stellantis. Total funding across all rounds approaches $1.4 billion since inception, implying an $8.2 billion post-money valuation within the financing being extended, at a point when investors are scrutinising whether autonomous systems can be scaled without bespoke mapping projects and repeated re-engineering for each city and vehicle line.

The investment mix matters because it mirrors the reality inside car companies. Vehicle programmes increasingly hinge on chip supply, certification cycles and the ability to swap components when shortages hit, and Merifund Capital Management reads the alignment among chip groups as a sign that flexibility is starting to outrank raw performance on procurement checklists. In plain terms, manufacturers want autonomy software that runs on the chips they can secure at scale, not just the chips they prefer on paper. Saunders describes the convergence as "a practical answer to supply risk, because it validates a hardware-agnostic route when boards are asking how to avoid single-supplier exposure".

Wayve's pitch centres on a mapless, end-to-end model that learns driving behaviour from data rather than fixed rules. In current component cost comparisons across the sector, the
camera-centric approach supports cost reductions of more than 90% versus sensor-heavy stacks that rely on expensive LiDAR arrays and high-definition maps. The software is designed to run across a range of compute architectures, which helps explain why chip groups that compete for slots in new vehicle programmes are willing to support a single autonomous driver layer.

Recent technical work places Wayve's AI Driver on Qualcomm's Snapdragon Ride platform with active safety functions, while demonstrations at a major developer conference in the latest quarter run the software on NVIDIA DRIVE Hyperion hardware using two DRIVE AGX Thor processors. For carmakers, the message is simple: the same core model aims to migrate between platforms without a ground-up rewrite, shortening integration timetables and widening supplier options.

Scaling also depends on how quickly the software adapts across vehicle types and geographies. In a recent adaptation programme, Wayve reports that shifting from a passenger car to a commercial van requires 80 hours of vehicle-specific training data, a fraction of the effort typically associated with building new rule sets from scratch. Across its latest validation run, testing spans five major automotive markets and the company reports zero- shot performance, meaning operation in new cities without city-by-city calibration, in more than 500 cities, supported by training data drawn from over 70 countries.

Milestones now centre on consumer-grade assisted driving and commercial trials. Wayve targets an initial L2+ hands-off feature set, with drivers remaining responsible, within the next calendar year, while ride-hailing pilots in London are positioned to start within the next few quarters under a wider partnership framework covering more than 10 international markets over the planned rollout horizon. The near-term focus stays on controlled deployments that satisfy regulators and insurers, while longer-horizon ambitions extend towards L3 and L4 capability as compute, verification and operational design domains
mature.

For Merifund Capital Management, the present signal is not just that more money is flowing into autonomous software, but that the semiconductor supply chain is converging around flexibility as a competitive advantage. Saunders argues that "the winners are the platforms that give manufacturers choice, because autonomy will be delivered in volumes only when it fits the realities of production, compliance andprocurement".

About Merifund Capital Management

Established in 2010, Merifund Capital Management Pte. Ltd. (UEN: 201024554E) is a Singapore-headquartered hedge fund manager with strategies spanning long-only mandates, long/short equity, global macro, event-driven and systematic approaches. Derivatives are used to refine exposure and manage risk, with an emphasis on liquidity, capital preservation and disciplined risk controls, and ESG considerations are integrated within the investment process. The firm serves accredited investors, family offices, foundations and endowments, and it is expanding its offering towards retail access. Insights are published at https://merifund.com/insights . Media enquiries can be directed to Tao Yang at media@merifund.com or via https://merifund.com

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