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Belvedir

Make 3D models effortlessly with an intuitive, no-code interface.

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Belvedir is a platform for building custom AI models from production traffic. It captures agent calls, tool uses, and replies as data, then cleans and groups traces into task types and training datasets, addressing the problem of turning raw operational data into usable training material.

The platform includes modules for data import, conversations, traces, tasks, task groups, and a cleaning log, alongside training, evals, harnesses, inference, routers, and a playground. Training runs are versioned and reproducible, with fine-tuning of open models such as Qwen/Qwen3.8-27B. Evals score each run against a base and frontier model. Trained models can be served through Belvedir's cloud inference with OpenAI-compatible endpoints, or weights can be exported for self-hosting. Data stays isolated to the user's workspace.

Belvedir is aimed at teams running AI agents who want to improve models from their own traffic. Access begins by installing the package and signing in to create a workspace, with onboarding available for larger teams. Training and inference run on Belvedir's infrastructure.

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