perceptivesensing.ai valuation and analysis

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Title Perceptive
Description A New Kind of Sensing and Perception to Accelerate Autonomy at Solution About Us Menu Solution About Us A New Kind of Sensing and Perception to Accelerate Autonomy at Scale Scale unlocks the future of autonomy​ Today’
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WebSite perceptivesensing faviconperceptivesensing.ai
Host IP 34.67.8.234
Location United States
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perceptivesensing.ai Valuation
US$2,262,500
Last updated: 2023-05-10 20:46:10

perceptivesensing.ai has Semrush global rank of 4,678,146. perceptivesensing.ai has an estimated worth of US$ 2,262,500, based on its estimated Ads revenue. perceptivesensing.ai receives approximately 261,058 unique visitors each day. Its web server is located in United States, with IP address 34.67.8.234. According to SiteAdvisor, perceptivesensing.ai is safe to visit.

Traffic & Worth Estimates
Purchase/Sale Value US$2,262,500
Daily Ads Revenue US$2,089
Monthly Ads Revenue US$62,654
Yearly Ads Revenue US$751,846
Daily Unique Visitors 17,404
Note: All traffic and earnings values are estimates.
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Solution About Us Menu Solution About Us A New Kind of Sensing and Perception to Accelerate Autonomy at Scale Scale unlocks the future of autonomy​ Today’s autonomous mobility solutions are built around a 20-year-old hardware-centric architecture that doesn’t scale, which is why progress has been incremental at best. When we make scalability a core requirement of every part of the solution, autonomy will take a giant leap forward. Human-like perception unlocks scale Autonomy today is focused on sensors that don’t comprehend complex contexts, evolving semantic relationships, or unexpected situations. To unlock autonomy at scale, autonomous mobility solutions require human-like awareness — where sensing and perception are one and the same. Computational sensing unlocks perception Instead of relying on more and more complex and expensive sensing hardware, treating sensing computationally turns it into a mathematical problem we can solve with ever-improving algorithms. This approach
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