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InstabaseA company that develops software for processing unstructured data from a myriad of document types raised $100 million In a Series D round of funding.
The announcement comes as the company Struggling under a deluge of information – Data that can unlock key business insights. In fact, much of the data that companies generate is “unstructured,” meaning it has no predefined labeling — it can be PDFs, image files, or plain text in emails.
By deploying Instabase, businesses can extract, categorize and analyze data from any document — for example, it can help re-route correspondence to the right department. They can apply generative AI to this data, allowing anyone to ask questions or request summaries or insights 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 US banks.”
Historically, Instabase was One of many Document processing automation companies that use 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 able to handle much more complex data types.
“As we move through the AI ​​era, companies cannot realize their AI capabilities without first harnessing and learning from the unstructured data within each organization,” said Instabase founder and CEO. Anant Bharadwaj (pictured above) said in a statement.
Earlier, Instabase raised about $175 million in funding, one of which $45 million Series C round in 2023The startup is valued at $2 billion.
The company’s Series D round was led by Dr Qatar’s sovereign wealth fundQatar Investment Authority (QIA), with participation from big-name existing investors including Andreessen Horowitz, Greylock Partners, Index Ventures and NEA. The company did not release a new valuation.
