AutoSynthData turns agent failures into targeted enterprise training
AutoSynthData helps enterprise teams turn an agent’s weak spots into new training tasks, so they can improve performance on their own tools, rules, and data rather than rely only on broad capabilities. It compares a target model’s failures with a stronger teacher’s successes, then generates tasks that are feasible, realistic, and verifiable in the target environment. As the model improves, the curriculum shifts toward what remains difficult.