Preferred Networks vs Mobileye

Mobileye has a disclosed valuation of $7.6B, while Preferred Networks's valuation is not publicly available, making a direct size comparison difficult. Mobileye employs 1000+ people.

Preferred Networks has raised $308M in disclosed funding across 2 known rounds. Mobileye's funding history is not publicly available.

Mobileye leads with an Awaira Score of 92/100, while Preferred Networks sits at 72/100. That 20-point gap reflects real differences in funding, scale, and traction — it's not a vanity metric.

Preferred Networks was founded by Toru Nishikawa in 2014. Mobileye was founded by Amnon Shashua in 1999. Visit each company's profile on Awaira for a full founder biography.

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. Mobileye: Mobileye designs AI chips and software systems for advanced driver assistance and autonomous driving, producing the EyeQ system-on-chip series and associated computer vision software stack that is integrated into hundreds of millions of vehicles globally as the technical foundation for features including lane keeping, automatic emergency braking, and adaptive cruise control. The Jerusalem company was founded as a camera-based ADAS system pioneer before the autonomous vehicle era and grew to dominate the mass-market vehicle safety chip segment.\n\nMobileye was acquired by Intel in 2017 for approximately $15 billion and subsequently relisted on NASDAQ in 2022 in one of the largest technology IPOs of that year, with Intel retaining a majority stake. The company reports its EyeQ chips are integrated into vehicles from over 50 automakers globally, representing a dominant market share in camera-based ADAS hardware. Mobileye has expanded its product roadmap beyond ADAS toward full autonomy products including its Robotaxi platform, tested in Munich, Detroit, and Tel Aviv with selected mobility partners.\n\nMobileye competes in the ADAS and autonomous driving chip market against NVIDIA Drive, Qualcomm Snapdragon Ride, and Texas Instruments for automotive processor design wins, as well as against Waymo, Cruise, and Zoox in autonomous vehicle deployment. Its vertical integration across chip design, computer vision software, and mapping data creates a complete ADAS stack that automakers can implement without integrating components from multiple vendors. The Israel engineering heritage in computer vision, combined with decades of automaker relationships, gives Mobileye structural advantages in a market where safety certification requirements create multi-year adoption timelines.

Mobileye got there first, launching in 1999 — that's 15 years of extra runway. Preferred Networks didn't arrive until 2014. In AI, that kind of head start means more training data, deeper customer relationships, and a bigger talent moat.

Preferred Networks has about 100-500 employees; Mobileye has about 1000+. 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 Preferred Networks and Mobileye compete in AI Robotics, targeting many of the same buyers. If you're evaluating one, you should be looking at the other.