Post-training built from your agents’ work.

Open models are capable enough to do more of your work. Getting them there takes more than a training run. Your agent traces contain the examples, failures, and corrections a model needs to learn from, but logs aren’t datasets. Someone has to extract the signal, build checks for what good looks like, and find the recipe that actually improves the model. Bandr builds that loop: production traces into verified training data, task-specific evals, and post-training recipes for smaller models. As your prompts and tools change, the training has to keep up.

app.bandr.ai

Recent work