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ReclaimLLM

AI usage observability, cost attribution, and security

ReclaimLLM serves as a central control plane for your organization's computational language tools. It offers a suite of features designed to enhance oversight and efficiency: * Capture and log every interaction * Search and reuse past sessions * Attribute operational spend * Govern usage across providers and teams * Ensure data privacy and control This platform allows organizations to comprehensively track, analyze, and manage how language computation tools are utilized. By capturing every interaction, it creates a searchable history, enabling teams to easily revisit, replay, and learn from previous computational exchanges. This robust logging capability supports knowledge retention and promotes the reuse of effective prompts and responses, saving time and resources. ReclaimLLM also provides detailed cost attribution, breaking down spend by provider, model, and team, which is crucial for budget management and optimization. Furthermore, it offers strong governance features to control access, set usage policies, and maintain data privacy, ensuring compliance and secure operations. It's built for engineering teams, security and compliance professionals, and management seeking granular control and visibility over their computational language infrastructure.
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