
Structify
Data on demand. Human quality, at superhuman speeds.
Date | Investors | Amount | Round |
---|---|---|---|
investor investor | €0.0 | round | |
* | $4.1m | Seed | |
Total Funding | 000k |
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Structify operates as a data-on-demand platform, enabling companies to transform unstructured data from various sources into customized, structured datasets through its API. Founded in 2023 by CEO Alex Reichenbach, CTO Alex Goldstein, and COO Ronak Gandhi, the Brooklyn-based company aims to solve the problem of inaccessible and unreliable data that hampers AI-driven workflows. The founding team combines diverse academic and professional backgrounds; Reichenbach and Gandhi met on their first day of college, pursuing different academic interests in computer science and humanities, respectively, before collaborating on various projects. Goldstein brings experience from leading robotics teams at other startups. The company officially launched in April 2025, securing $4.1 million in a seed funding round led by Bain Capital Ventures, with participation from 8VC and Integral Ventures, to expand its technical team.
The core of Structify's business is an AI-powered platform that utilizes proprietary AI agents to crawl, extract, and structure information from the web, PDFs, and other specified sources based on a customer's needs. Clients interact with the system through a chat interface to define data workflows, specify the required data schema, and designate the sources for the AI agents to process. This allows organizations to essentially become their own data providers, creating continuously updated databases from sources like news articles, SEC filings, and social media posts. A key feature is the human-in-the-loop system, where experts fine-tune results to ensure the quality and accuracy of the generated datasets. The platform also offers features like automated entity resolution to maintain clean and consistent data, and backsourcing, which links every piece of data to its original source.
Structify serves a diverse client base, including companies in finance, construction, enterprise tech, and media. For instance, finance teams use the service to extract key information from pitch decks, while construction firms convert complex geotechnical documents into readable tables. Sales and operations teams can obtain real-time organizational chart data to streamline their pipelines. The business model operates on a tiered subscription basis. A free tier allows users to process up to 1,000 rows of data per month. For more extensive needs, pro and enterprise tiers offer the ability to fine-tune and deploy custom models, including on-premise solutions, with advanced analytics and security features.
Keywords: data on demand, unstructured data, data extraction, custom datasets, API, AI agents, data workflow automation, data structuring, human-in-the-loop, data pipeline, knowledge graphs, enterprise data, financial data services, construction data, sales intelligence, seed funding, Bain Capital Ventures, 8VC