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Arc

Wraps agents to capture causality data automatically and enables real-time learning without manual annotation or retraining.

Arc provides infrastructure that wraps AI agents to automatically capture causality data during execution, enabling real-time learning without manual annotation or retraining. It targets developers and data teams at companies deploying production agents, particularly in enterprise settings. The platform is positioned as an infrastructure API that integrates with existing agents, offering a gradient-free, inference-time continual learning approach that reduces costs and improves performance.

Key features

  • Automatic causality data capture
  • Real-time learning without retraining
  • Gradient-free inference-time adaptation
  • Cost reduction (up to 86%)
  • Progressive learning reduces token usage
  • No social media activity within the last 30 days
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ICP
  • Software developers
  • Data analytics teams
  • Enterprises