Kadoa is an AI-driven platform designed to extract, transform, and integrate unstructured web data at scale, eliminating the need for coding. It offers automated extraction and transformation capabilities, enabling users to efficiently process data from various web sources. Kadoa's self-healing scrapers adapt to website changes, ensuring reliable data collection. The platform is utilized across multiple industries, including finance, e-commerce, and job postings, to streamline data workflows and provide actionable insights.
Automating web data extraction and transformation processes.
Collecting and standardizing data from diverse web sources.
Reducing maintenance efforts with self-healing data pipelines.
Integrating unstructured web data into existing systems for analysis.
Kadoa demonstrates high autonomy through AI-driven navigation, automatic adaptation to website structure changes (including self-healing workflows), and maintenance-free operation once configured. The system handles complex tasks like multi-page crawling, PDF/CSV extraction, and dynamic interaction replay without human intervention. While initial workflow setup requires human input for schema definition and use case configuration, subsequent operations including change detection (within 2 seconds), data transformation via constrained AI agents (source 4), and cross-domain integration occur autonomously. The platform achieves Level 4 autonomy per network testing frameworks (source 2), operating with dynamic closed loops across domains while maintaining human oversight capabilities.
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