TechCrunch News 01月17日
Instabase raises $100M to help companies process unstructured document data
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Instabase是一家致力于从各种文档中提取非结构化数据的软件公司,最近完成了1亿美元的D轮融资。面对企业数据洪流,Instabase的技术能够从PDF、图片和邮件等非结构化数据中提取、分类和分析信息。这不仅能帮助企业将信息准确路由到相应部门,还能利用生成式AI进行数据分析,用户可以提问、请求摘要或获取洞察。Instabase自2015年成立以来,已吸引了包括Uber、Natwest等众多知名客户。随着人工智能时代的到来,Instabase利用自然语言处理和生成式AI等技术,能够处理更复杂的数据类型,帮助企业充分利用其非结构化数据。

🗂️Instabase专注于从各种文档类型中提取和处理非结构化数据,如PDF、图片和邮件等,这些数据通常缺乏预定义的标签。

🤖通过部署Instabase,企业可以对文档数据进行提取、分类和分析,并利用生成式AI技术进行更深入的数据挖掘,例如,可以向AI提问或请求数据摘要。

💰Instabase已获得1亿美元的D轮融资,由卡塔尔投资局领投,并吸引了包括Andreessen Horowitz等知名投资机构的参与。

🏢Instabase的客户包括Uber、Natwest、美国专利商标局等知名机构,以及美国前五大银行中的四家,表明其产品在市场上的广泛认可。

🚀随着AI技术的发展,Instabase正在利用自然语言处理(NLP)和生成式AI等技术,处理更复杂的数据类型,帮助企业充分利用非结构化数据。

Instabase, a company that creates software for extracting processing unstructured data from myriad document types, has raised $100 million in a Series D round of funding.

The announcement comes as companies struggle under a deluge of data — data that can unlock key business insights. Indeed, most of the data that companies generate is “unstructured,” that is, it doesn’t have any predefined labelling — this could be plain text contained within PDFs, image files, or emails.

By deploying Instabase, businesses can extract, classify, and analyze data from any document — this could be to help re-route correspondence to the right department, for example. They can also apply generative AI to this data, allowing anyone to ask questions or request summaries or insights from across their vast document stores.

The San Francisco-based startup has amassed a number of high-profile customers since its inception in 2015, including Uber, Natwest, AXA, the United States Patent and Trademark Office (USPTO), and “four of the five largest U.S. banks.”

Data extraction: InstabaseImage Credits:Instabase

Historically, Instabase was one of numerous document processing automation companies that used more rules-based techniques to extract and process data. With the advent of the modern AI era, including natural language processing (NLP) and generative AI, such systems are capable of handling far more complex data types.

“As we progress through the AI age, companies cannot realize their AI capabilities without first harnessing and learning from the unstructured data that lives within every organization,” Instabase founder and CEO Anant Bhardwaj (pictured above) said in a statement.

Prior to now, Instabase had raised around $175 million in funding, including a $45 million Series C round in 2023, valuing the startup at $2 billion.

The company’s Series D round was led by Qatar’s sovereign wealth fund, the Qatar Investment Authority (QIA), with participation from big-name existing investors including Andreessen Horowitz, Greylock Partners, Index Ventures, and NEA. The company didn’t reveal a fresh valuation.

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Instabase 非结构化数据 人工智能 数据分析 融资
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