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SOFTWARE (NON-INTERNET/MOBILE) | Operating Systems & Utility Software
xnor.ai

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Founded Year

2016

Stage

Acquired | Acquired

Total Raised

$14.6M

Valuation

$0000 

About Xnor.ai

Xnor.ai is focused on the development and commercialization of lightweight AI frameworks that enable deep learning, machine vision, and speech recognition to run directly on resource-constrained devices, such as phones, smartwatches, cameras, cars, embedded devices, and the smallest Raspberry PI device.On January 15th, 2020, Xnor.ai was acquired by Apple. The terms of the transaction were not disclosed.

Xnor.ai Headquarter Location

2157 N Northlake Way Suite 110

Seattle, Washington, 98103,

United States

217-721-3681

Latest Xnor.ai News

Did AI Patents Help AV/EV-Related Companies Get Acquired by Apple?

Jun 11, 2021

To embed, copy and paste the code into your website or blog: <iframe frameborder="1" height="620" scrolling="auto" src="//www.jdsupra.com/post/contentViewerEmbed.aspx?fid=0cbce469-6801-4a58-b75f-eb5d18d0a27c" style="border: 2px solid #ccc; overflow-x:hidden !important; overflow:hidden;" width="100%"></iframe> From 2016 to 2020, Apple bought the most AI companies. Of the AI companies Apple acquired during this time, the following appear to provide technology (e.g., vehicular technology, visual or image processing, or facial recognition) at least tangentially applicable to the autonomous vehicle (“AV”) or electric vehicle (“AV”) sectors:  Drive.ai, Emotient, Vilynx, Xnor.ai, Lighthouse AI, Spectral Edge, and Spektral. Table 1 illustrates, based on publicly available records, the number of years from company founding to acquisition by Apple (based on date founded indicated by Crunchbase and year of acquisition indicated by GlobalData ), the estimated acquisition amount or valuation at acquisition, and the number of United States patent assets (including issued patents and pending published patent applications and determed based on USPTO public records). Years to Acquisition  Table 1:  Estimated Acquisition Amount, Years to Acquisition, and Patent Assets While there are various factors leading to any acquisition and valuation, Table 1 illustrates that the three AI companies (Drive.ai, Xnor.ai, and Emotient) Apple acquired for over $100 million each had approximately 20 patent assets. Each of these three companies went from founding to acquisition at a breakneck pace of four years. The company with the next highest acquisition amount had only a quarter of the number of patent assets, and took nine years to be acquired. The following Figure 1 is based on the data in Table 1. As illustrated in Figure 1, the companies in the top right quadrant had the highest acquisition amount and largest patent portfolio, relative to the companies in the bottom left quadrant. Figure 1:  Patent Assets vs. Acquisition Amount In view of the above, while there are many ways for companies to distinguish themselves from competitors and successfully exit for the highest amount, the patent portfolio of an AI company with AV/EV-related technology appers to be correlated with both the acquisition amount and number of years to acquisition. Thus, as an AI company developing AV/EV-related technology seeks funding or an exit, it can leverage a patent portfolio to indicate how innovative the AI company is, its proprietary technology, and multiply its valuation.

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Expert Collections containing Xnor.ai

Expert Collections are analyst-curated lists that highlight the companies you need to know in the most important technology spaces.

Xnor.ai is included in 2 Expert Collections, including The Edge Computing Landscape.

T

The Edge Computing Landscape

343 items

Edge computing companies facilitate workload deployment in addition to providing data processing and storage at the farthest reaches of the network. These edge computing companies range from data centers at the edge to workload management tools designed to orchestrate edge deploy

A

Artificial Intelligence

8,327 items

This collection includes startups selling AI SaaS, using AI algorithms to develop their core products, and those developing hardware to support AI workloads.

Xnor.ai Patents

Xnor.ai has filed 22 patents.

The 3 most popular patent topics include:

  • Artificial neural networks
  • Machine learning
  • Artificial intelligence
patents chart

Application Date

Grant Date

Title

Related Topics

Status

12/10/2018

6/22/2021

Machine learning, Artificial neural networks, Classification algorithms, Artificial intelligence, Image processing

Grant

Application Date

12/10/2018

Grant Date

6/22/2021

Title

Related Topics

Machine learning, Artificial neural networks, Classification algorithms, Artificial intelligence, Image processing

Status

Grant

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