Figure AI vs Preferred Networks

Figure AI has a disclosed valuation of $39B, while Preferred Networks's valuation is not publicly available, making a direct size comparison difficult. Figure AI employs 450 people.

Figure AI has raised more in total funding at $1.9B, compared to Preferred Networks's $308M — a gap of $1.6B. Combined, the two companies have completed 6 known funding rounds.

Figure AI leads with an Awaira Score of 95/100, while Preferred Networks sits at 72/100. That 23-point gap reflects real differences in funding, scale, and traction — it's not a vanity metric.

Figure AI was founded by Brett Adcock in 2022. Preferred Networks was founded by Toru Nishikawa in 2014. Visit each company's profile on Awaira for a full founder biography.

Figure AI: Figure AI is a robotics company founded in 2022 that develops humanoid robots designed for industrial and commercial applications. The company focuses on creating general-purpose robots capable of performing complex physical tasks in real-world environments. Figure AI's primary technology centers on advanced robotics, artificial intelligence, and machine learning systems that enable autonomous operation and human-robot collaboration. The company has raised $1.9 billion in funding across multiple rounds, achieving a valuation of $39 billion as of its Series C stage, reflecting significant investor confidence in the humanoid robotics sector. This valuation places Figure AI among the most valuable robotics startups globally. The company's approach emphasizes practical deployment in industries facing labor shortages and operational challenges. Figure AI competes in the growing humanoid robotics market alongside companies developing similar technologies. The company's competitive positioning is strengthened by substantial capital resources enabling rapid research and development. Figure AI has demonstrated prototypes and engaged with potential enterprise customers across manufacturing, logistics, and service sectors, though specific customer details remain largely confidential. The company's growth trajectory reflects the broader acceleration in AI-enabled robotics investment. Figure AI's development timeline suggests advancement toward commercial deployment, with the robotics industry expecting increased real-world implementations in the coming years. Figure AI has achieved unicorn status within two years of founding, indicating rapid progress in humanoid robotics commercialization despite the sector's technical complexity. Preferred Networks: Preferred Networks develops deep learning technology applied to robotics, autonomous driving, and industrial applications, building neural network architectures for real-time edge inference in robot control, factory automation, and connected vehicle systems. The Tokyo company gained international recognition for early competition victories in autonomous navigation and robot manipulation challenges and developed its own deep learning framework, Chainer, which influenced the design of PyTorch before Chainer was eventually retired.\n\nThe company raised approximately $350 million including a landmark $105 million Series A from Toyota Motor Corporation and other strategic investors, making it one of the most valuable AI startups in Japan at the time of its fundraising. Preferred Networks collaborates with Toyota on autonomous driving AI, with NTT on communications AI, and with Fanuc on factory robot intelligence, creating a portfolio of deep technology industrial partnerships that provide both funding and deployment scale for its AI research.\n\nPreferred Networks operates in Japan industrial AI market where established relationships with major manufacturing and automotive companies provide a defensible position that international AI startups find difficult to penetrate through conventional sales approaches. The company research focus on edge AI inference for robotics aligns with Japan competitive strengths in manufacturing automation and precision robotics, markets where AI-enhanced robot intelligence is being adopted to address labour shortages and quality requirements that purely mechanical automation cannot satisfy.

Preferred Networks got there first, launching in 2014 — that's 8 years of extra runway. Figure AI didn't arrive until 2022. In AI, that kind of head start means more training data, deeper customer relationships, and a bigger talent moat.

Figure AI has about 450 employees; Preferred Networks has about 100-500. A bigger team usually means more revenue or heavier VC backing, but in AI, small teams can build at massive scale.

Yes — they're direct rivals. Both Figure AI and Preferred Networks compete in AI Robotics, targeting many of the same buyers. If you're evaluating one, you should be looking at the other.