Wayve vs Skild AI

By valuation, Skild AI is the larger company at $14B versus $5B — a 2.8x difference. Size can also be measured by team: Wayve employs 100-500 people while Skild AI has 75 employees.

Skild AI has raised more in total funding at $1.9B, compared to Wayve's $1.3B — a gap of $600M.

Wayve holds the higher Awaira Score at 95/100, compared to Skild AI's 90/100. The Awaira Score is a composite metric factoring in valuation, funding, stage, team size, and market presence — a 5-point gap that reflects meaningful differences in scale or traction.

Wayve was founded by Amar Shah in 2017. Skild AI was founded by Deepak Pathak in 2023. Visit each company's profile on Awaira for a full founder biography.

Wayve: Wayve builds embodied AI systems for autonomous driving, developing a data-driven approach that trains neural networks end-to-end from raw sensor inputs to vehicle controls. Founded in Cambridge and headquartered in London, the company focuses on a generalist AI model that can adapt to new environments without hand-coded rules, distinguishing it from traditional autonomous vehicle stacks.\n\nThe company raised a $1 billion Series C round in 2024 led by SoftBank, with participation from Microsoft and NVIDIA, bringing total funding to approximately $1.3 billion. Wayve has deployed test vehicles across London and conducts large-scale data collection partnerships with commercial fleet operators including Asda and Ocado.\n\nWayve competes in a global autonomous vehicle market projected to exceed $500 billion by 2030, positioning itself against Waymo, Cruise, and Mobileye with a fundamentally different AI-first architecture. The company holds a valuation of approximately $5 billion and is considered one of the most significant autonomous vehicle startups outside the United States, with backing from some of the largest technology investors globally. Skild AI: Skild AI is a robotics company founded in 2023 that develops artificial intelligence systems for autonomous robots. The company focuses on creating AI software that enables robots to perform complex, dexterous manipulation tasks in real-world environments. Skild AI's core technology centers on machine learning models designed to improve robotic perception, planning, and control capabilities, allowing robots to handle varied objects and adapt to dynamic conditions. The company operates in the growing intersection of AI and robotics, where demand for automation solutions continues to expand across manufacturing, logistics, and warehouse operations. Skild AI's approach emphasizes practical deployment of AI-powered robotic systems rather than theoretical research, positioning it within the applied robotics sector. As of its most recent funding round, Skild AI has raised $1.9 billion in total funding and holds a valuation of $14.0 billion, reflecting significant investor confidence in its market potential. The company operates at Series C stage, indicating maturation beyond early-stage development. Specific details about notable customers, deployed use cases, and competitive positioning relative to other robotics companies are not disclosed. The company's rapid valuation growth and substantial funding suggest strong market traction, though its exact revenue figures and growth trajectory remain proprietary information. Skild AI achieved a $14 billion valuation within one year of founding, indicating exceptional investor confidence in its robotics-AI technology platform.

Wayve was founded first in 2017, giving it 6 years of additional market experience. Skild AI was founded later in 2023. In AI, even a year or two of head start can translate into significantly more training data, customer relationships, and institutional knowledge.

Wayve has approximately 100-500 employees, while Skild AI has approximately 75. A larger team often signals higher revenue or venture backing, but in AI, smaller teams are increasingly capable of building at scale.

Yes, Wayve and Skild AI are direct competitors — both operate in the AI Robotics space and likely target overlapping customer segments. This comparison is especially relevant for buyers evaluating both platforms.