Structify : AI-Powered Data Preparation for Custom Analytics

Structify is an AI-based data analytics platform that transforms unstructured online data into structured, analysis-ready datasets. It is designed for teams in industries such as finance, sales, marketing, and competitive research, who need precise, high-quality data extracted from diverse digital sources. Structify’s proprietary visual language model, DoRa, powers the automation of data structuring, making it possible to build tailored datasets quickly and at scale.

What are the main features of Structify?

Automated data structuring

Structify automatically extracts and structures data from websites, PDFs, and other unstructured sources based on the user’s requirements.

• Converts messy web content into clean, structured tables or formats
• Supports schema-based data extraction with minimal manual configuration
• Drastically reduces time spent on data wrangling

Custom AI workflows for data projects

The platform allows users to create and refine their own data workflows for specialized use cases.

• Define custom data collection rules
• Adjust workflows to target specific fields, patterns, or segments
• Reuse and modify workflows for ongoing data acquisition projects

Human-in-the-loop data verification

To ensure quality, Structify blends AI automation with manual oversight from expert reviewers.

• Allows verification and correction of extracted data
• Trains the AI to improve over time based on feedback
• Increases trust and reliability in final data sets

Transparent source tracking

Structify provides detailed sourcing for every piece of collected data, ensuring traceability.

• View original source links and timestamps for each data point
• Assess the trustworthiness and compliance of each source
• Maintain transparency and auditability for downstream use

Why choose Structify?

• Reduces manual labor in data collection and preparation through smart automation
• Supports tailored analytics by enabling custom data structuring at scale
• Improves data quality via integrated human review and feedback loops
• Ensures data trust with full source transparency and traceability
• Scales across industries, from small teams to enterprise-level data operations