Automated paper analysis, code generation, and knowledge synthesis powered by 8 AI models across 6 providers. In the first 4 days of production, the system consumed 1.02 billion tokens across Claude, GPT, Gemini, MiMo, DeepSeek, and Qwen — averaging 255 million tokens per day.
Input arXiv paper URLs, get structured summaries with key algorithms, experimental results, and innovation points. Batch processing for 10+ papers.
Generate runnable code from paper descriptions in Python, TypeScript, or Solidity. Auto-includes test cases, documentation, and quality scoring.
Extract entity relationships from papers, build concept dependency graphs, and discover cross-domain knowledge connections.
Run tasks across multiple models, compare quality, latency, and cost. Get model selection recommendations.