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Founded | 2017 |
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Location | United States (USA) |
Sector | manufacturing |
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Technology | Artificial Intelligence,Machine Learning,DeepTech |
Business Function | Vision-oriented AI platform |
Business Model | B2B |
Headquartered in San Jose, California, Recogni has created a Vision-oriented AI platform purpose-built for autonomous vehicles. Recogni, with its unique approach to designing a vision-oriented inference Artificial Intelligence system from the ground up as a holistic module, will deliver unprecedented inference performance at more than 500x better power efficiency compared to other solutions, enabling novel edge processing at multiple points on vehicles to naturally offload central processing needs. Building on a strong foundation of entrepreneurial team-building and operations experiences, their unique blend of proven track records in high-performance computing and distributed systems, artificial intelligence and machine learning, and imaging and vision systems is empowering us to accelerate the realization of fully-autonomous vehicles. Recogni unleashes new capabilities in perception processing. Their novel Vision Cognition Module (VCM), based on a custom ASIC, is capable of running deep-learning networks with amazing efficiency. This purpose-built solution can enable a car to detect small objects at long distances while consuming minimal battery power.
Vision Inference System
Highest Performing Perception Inference- The world’s first Peta-Op class inference solution. With this performance, we enable superhuman object detection accuracy up to 1000m in real-time under various road and environment conditions, with our ability to process multiple streams of ultra-high resolution & very high frame rate cameras.Low Latency- From last pixel out to perception results, it takes less than 10 milliseconds. This provides ample reaction time for the car to navigate safely.Best-in-class power consumption- We are 10-20 times more power efficient than competing solutions. We enable the flexible design of vehicles and minimize the impact on driving range.