Founded by Francisco Ferreira in 2024
Convert unstructured documents into connected data tables and queryable backends for AI agents
Pricing model
Demo
Rating
★ Mixed Reviews
Time to value
Quick Setup (< 1 hour)
You can use DataLinks to turn unstructured documents and varied datasets into structured tabular backends for artificial intelligence applications. Upload documents in multiple formats, define required columns in plain language, and automatically resolve entities across connected datasets. The system provides a semantics editor to adjust relational links between disparate sources. Once connected, team members can query integrated data using natural language or structured requests, improving accuracy for language models. You can also export processed data into business intelligence dashboards like Tableau, Power BI, and Palantir Foundry.
What DataLinks does
Pricing breakdown
Pricing model: Book a demo
Tutorials & Demos
Frequently asked
Want a tailored answer?
See whether DataLinks fits your stack.
Techbible weighs DataLinks against what you already pay for, your team shape, and the work that's actually happening. Free to start.
Side by side
Compare DataLinks
Search the catalog or pick a similar tool to compare pricing, features, and fit.
Or pick from similar tools
More in Data Scraping & Extraction
All tools →Bright Data
Scrape public web data and manage proxy networks across global servers
Exa
Search the web and extract clean structured data directly for AI agents
AI Web Scraper
Easily convert website data into structured formats without coding.
API Parrot
Reverse engineer website network traffic and export executable code to automate integrations
Beautiful Soup
Extract and navigate data from HTML and XML files
Chunkr
Parse messy documents and images into clean structured Markdown or JSON via API
ParseHub
Extract data from interactive websites and turn them into spreadsheets or APIs
Webz.io
Access structured open, deep, and dark web data feeds through unified developer APIs
Tableau