AutoData Systems

Tagline Brand's website · 2026-10-04

Requires minimal human intervention (only natural language instruction), utilizes a robust multi-agent architecture with an oriented message hypergraph, introduces a novel hypergraph cache system for efficient collaboration and token cost mitigation, and demonstrates superior performance compared to baseline methods on benchmark datasets and challenging tasks.

Description Brand's website · 2026-10-04

AutoData is a novel multi-agent system designed for automated web data collection, leveraging large language models (LLMs) and a robust multi-agent architecture. It aims to efficiently gather high-quality web-sourced datasets with minimal human intervention, addressing the scalability, adaptability, and cost issues of conventional and existing LLM-based data collection methods.

Core capabilities Brand's website · 2026-10-04

• AutoData
• a multi-agent system for automated web data collection
• featuring an oriented message hypergraph coordinated by a central task manager and a hypergraph cache system to optimize multi-agent collaboration and mitigate token costs.

Target industry Brand's website · 2026-10-04

Organizations and systems requiring high-quality web-sourced datasets for data-driven applications and AI technologies, with demonstrated applicability across academic, finance, and sports domains for live data collection.