Question 1

这些数据的来源是什么？

Accepted Answer

我们的数据来源于从数百万家公司收集的招聘信息。我们在公司网站、招聘网站和其他招聘平台上监控这些招聘信息。分析招聘信息提供了一种可靠的方法来了解公司正在使用的技术，包括他们对内部工具的使用。

Question 2

数据更新的频率是多少？

Accepted Answer

我们每天更新我们的数据，以确保您访问到最当前的信息。这个频繁更新的过程保证了我们的见解和情报能够反映行业内的最新发展和趋势。

Question 3

什么是Optic？

Accepted Answer

Optic is a cuttingedge technology used in the category of Code Automation Tools designed to streamline and enhance the process of code generation and automation It offers advanced features that enable developers to efficiently generate code automate repetitive tasks and improve overall development productivity Optic leverages sophisticated algorithms and customization options to cater to the unique needs of individual projects making it a versatile solution for software development teams

Initially founded in 2015 by a group of seasoned software engineers seeking to address the challenges associated with manual coding processes Optic has rapidly gained recognition within the tech community for its innovation and effectiveness The creators of Optic were driven by a vision to revolutionize the way code is generated and automate tedious tasks ultimately empowering developers to focus on more complex and creative aspects of their projects

Currently Optic holds a notable market share within the Code Automation Tools category with a growing user base and positive industry feedback The technologys userfriendly interface powerful functionality and reliability have contributed to its increasing popularity among developers and tech companies Analysts forecast a continued upward trajectory for Optics market share as more organizations recognize the value of automation in enhancing development speed and quality With its strong market position and ongoing enhancements Optic is poised for sustained growth in the foreseeable future

Question 4

如何获取使用Optic的公司最新列表？

Accepted Answer

通过访问 TheirStack.com，您可以获取使用 Optic 的公司更新列表。我们的平台提供一个全面的数据库，其中包括使用各种技术和内部工具的公司。

Question 5

Optic 有多少客户？

Accepted Answer

截至目前，我们拥有使用Optic的7,160家公司数据。

Question 6

谁在使用Optic?

Accepted Answer

Optic 被各种行业的多样化组织所使用，包括 "Technology, Information and Internet", "Telecommunications", "Telecommunications", "Telecommunications", "Telecommunications", "Telecommunications", "Telecommunications", "Defense and Space Manufacturing", "Defense and Space Manufacturing", "IT Services and IT Consulting"。要查看使用 Optic 的所有行业的完整列表，请访问 TheirStack.com。

Question 7

哪些公司使用Optic?

Accepted Answer

一些使用Optic的公司包括Lumos Fiber, Crown Castle, Ziply Fiber, Clearwave Fiber, Spectrum, AFL, Frontier Internet, HII, Lockheed Martin, Black Box，以及更多公司。您可以在TheirStack.com上找到使用Optic的7,160家公司完整列表。

Question 8

在哪些国家中，Optic 使用最多？

Accepted Answer

根据我们的数据，Optic 在 美国 (1,781 companies), 英国 (326 companies), 加拿大 (155 companies), 印度 (72 companies), 澳大利亚 (68 companies), 法国 (62 companies), 德国 (43 companies), 菲律宾 (31 companies), 阿联酋 (30 companies), 荷兰 (28 companies) 最受欢迎。然而，它被世界各地的公司使用。

Question 9

如何找到使用Optic的公司？

Accepted Answer

您可以通过在 TheirStack.com 上搜索 Optic 来找到使用该技术的公司。我们跟踪来自数百万家公司的职位发布，并利用它们来发现他们正在使用哪些技术和内部工具。

Company	Country	Industry	Employees	Revenue
Company name Industry Size Revenue
Company name Industry Size Revenue
Company name Industry Size Revenue
Company name Industry Size Revenue
Company name Industry Size Revenue
Company name Industry Size Revenue
Company name Industry Size Revenue
Company name Industry Size Revenue
Company name Industry Size Revenue
Company name Industry Size Revenue
Company name Industry Size Revenue
Company name Industry Size Revenue

使用Optic的公司

Optic 客户按国家/地区分布

如何针对Optic用户进行定位

美国

英国

加拿大

印度

澳大利亚

法国

德国

菲律宾

阿联酋

荷兰

Optic 替代品和竞争对手

Hugging Face

Transformers

GitHub Copilot

SpaCy

Thematic

Plasticity

Gensim

CoreNLP

FastText

IBM Watson Assistant

Sinequa

Spark NLP

Stanza

Dragon NaturallySpeaking

Serenade

Apache cTAKES

AdaTest

Dasha

Google Cloud Speech-to-Text

Lucet

HumanFirst

rasa NLU

Microsoft Azure Speech to Text

Nuance Recognizer

Azure Translator

Speechly

MonkeyLearn

AYLIEN

NLP Cloud

IBM Watson Speech-to-Text

Azure Language Understanding

Nuance Nina

Nuance Text to Speech

Google Cloud Natural Language API

Azure QnA Maker

IBM Watson Content Analytics

AlchemyAPI

Telosys

Semantria

Codeium.vim

IBM Watson Knowledge Studio

Oracle InQuira

IBM Watson Tone Analyzer

Celebros Search

NeuronBlocks

Nuance RadWhere

Nuance SpeechMagic

Nuance Transcend

Label Sleuth

Tisane Labs