Taylor (YC S23)

Taylor (YC S23)

软件开发

San Francisco,California 980 位关注者

Wrangle text better. Out of the box text classification, entity extraction, and more for Business & Engineering teams.

关于我们

Product & Engineering teams use Taylor to build products around their text without the infrastructure and maintenance overhead. Learn more at www.trytaylor.ai.

网站
https://trytaylor.ai/
所属行业
软件开发
规模
2-10 人
总部
San Francisco,California
类型
私人持股
创立
2023

地点

Taylor (YC S23)员工

动态

  • Taylor (YC S23)转发了

    查看Benjamin Anderson的档案,图片

    Stanford CS Grad, Chief Scientist, Taylor AI (YC S23)

    At Taylor, we've spent months developing some of the best tools for enriching & structuring text data. ?? Now, we're using those tools to directly provide high-quality data to our customers. Our first release is ?? Taylor Jobs, a database of hundreds of thousands of job postings, directly from employers, cleaned and enriched with our powerful models. ?? As the saying goes, you either die a hero, or live long enough to become a data vendor ?? Interested in a free sample from our awesome jobs database? Drop us a line. ?? https://lnkd.in/gV-zkj5u

    Good, Clean Jobs Data with Taylor – Taylor

    Good, Clean Jobs Data with Taylor – Taylor

    trytaylor.ai

  • 查看Taylor (YC S23)的公司主页,图片

    980 位关注者

    We launched Taylor Jobs today—our first database of high-quality job postings, cleaned and enriched with our models. Check it out! ??

    查看Benjamin Anderson的档案,图片

    Stanford CS Grad, Chief Scientist, Taylor AI (YC S23)

    At Taylor, we've spent months developing some of the best tools for enriching & structuring text data. ?? Now, we're using those tools to directly provide high-quality data to our customers. Our first release is ?? Taylor Jobs, a database of hundreds of thousands of job postings, directly from employers, cleaned and enriched with our powerful models. ?? As the saying goes, you either die a hero, or live long enough to become a data vendor ?? Interested in a free sample from our awesome jobs database? Drop us a line. ?? https://lnkd.in/gV-zkj5u

    Good, Clean Jobs Data with Taylor – Taylor

    Good, Clean Jobs Data with Taylor – Taylor

    trytaylor.ai

  • Taylor (YC S23)转发了

    查看Benjamin Anderson的档案,图片

    Stanford CS Grad, Chief Scientist, Taylor AI (YC S23)

    Excited about our new brand safety & content moderation model, based on the GARM taxonomy! ?? Here's a quick demo: we're able to detect the sensitive nature of this Quora post instructing minors how to purchase alcohol. ? Definitely wouldn't want my ads next to that! ?? Want to test it on your own inputs? New users get 1,000 classifications for free. ?? Link below.

  • Taylor (YC S23)转发了

    查看Benjamin Anderson的档案,图片

    Stanford CS Grad, Chief Scientist, Taylor AI (YC S23)

    We're so excited to share our new Data Tables tool, which lets you apply multiple classification and entity resolution models all at once, and see the results immediately ?? This is a natural next step in making classification both accessible and powerful. You get: ?? The instant feedback of a playground ??? The power of a batch job ??? The familiarity of a spreadsheet UI I'm a little biased, but this honestly feels magical. ??♂? Each new column you add is automatically filled in. Each new text you add in has all its column autofilled. We're really excited to see how people use this new feature. ??

  • 查看Taylor (YC S23)的公司主页,图片

    980 位关注者

    查看Benjamin Anderson的档案,图片

    Stanford CS Grad, Chief Scientist, Taylor AI (YC S23)

    Have been learning a lot about how online ad auctions work and it's fascinating! Did you know that you can sell ad space at a premium just by enriching your content with more tags and metadata? ?? This is because: - ?? More detailed information about your content allows better targeting and ad placement, so your ad space sells at a premium - ?? Granular content tags help ensure brand safety, and avoid placing ads next to sensitive, controversial, or adult content At Taylor, we provide high-accuracy tags from industry-standard taxonomies like the IAB content taxonomy, the IAB product taxonomy, and soon even more! ?? If you're working in ad ops, I'd love to connect and see how we can help you come out on top in those auctions. ??

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  • Taylor (YC S23)转发了

    查看Benjamin Anderson的档案,图片

    Stanford CS Grad, Chief Scientist, Taylor AI (YC S23)

    ?? Entity Extraction + ?? Batch Jobs = ?? Two of our customers' favorite features (entity extraction and batch classification jobs) just had a baby together ?? In the example below, I upload a file with hundreds of job descriptions, and in a few minutes, get back a CSV with the skills for each job extracted! It's live today, check it out.

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