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Belvedir is a private AI infrastructure platform for building, training, deploying, and continuously improving custom AI models and agents. It connects to existing agent workflows through an SDK, captures production traces and tool usage, and converts operational data into training datasets, evaluation environments, and benchmark tasks.
The platform supports custom model training, memory optimization, model routing, benchmark management, and managed inference. Teams can use their own production data to improve model performance through frequent fine-tuning and memory updates, while keeping traces and training data within their account. Models can run on managed infrastructure, in a private virtual private cloud (VPC), or on dedicated hardware. Belvedir is designed to work alongside an existing AI stack and provides a continuous workflow for data collection, evaluation, training, deployment, and model improvement.
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