We’re investing in Structify. @structifyai parses high-quality data for any business problem to make it easy to build custom, structured datasets from unstructured sources like PDFs, websites, emails, and transcripts — no manual scraping or stitching required. Finding and https://t.co/7qIpCtvLCF
Extremely excited to partner with Structify! I’ve cobbled together dozens of datasets through scraping & scripting — it’s a pain, it’s fragile, it’s unending maintenance. For humanitarian reasons alone, I’m glad Structify is turning this job over to AI. https://t.co/2MJ8raU8aJ
Excited that @structifyAI finally launched: LLMs made the Internet into a database. Structify aims to be your query'ing tool for this database. They buit everything in house, absurdly performant, insanely low-cost. They can run 10s of thousands of queries at once, where https://t.co/TGN1q7lBK8
Structify, an AI-driven startup, has raised $4.1 million in seed funding to develop technology that converts unstructured web data into enterprise-ready datasets. The company builds in-house solutions that enable high-performance querying of large-scale data, allowing tens of thousands of queries simultaneously at a low cost. Structify's platform automates the process of creating structured datasets from unstructured sources such as PDFs, websites, emails, and transcripts, eliminating the need for manual scraping and data stitching. Investors including Bain Capital Ventures have backed the company, highlighting its potential to simplify data collection and maintenance tasks. This technology is positioned to aid businesses in efficiently parsing high-quality data for various applications. Separately, another startup has raised $4 million in seed funding to automate telesales using voice technology.