AutoScientist

What is AutoScientist?

Automates data prep, fine-tuning and evaluation for custom models.

Who is AutoScientist best for?

AutoScientist is best for developers who want a custom fine-tuned model from their own data without manual experiments.

• ML engineers short on time

  It searches training recipes, reworks the data, trains and evaluates in a loop until the model reaches your target, so nobody has to babysit sweeps.

• Builders without ML expertise

  You set the outcome and it picks the model and training recipe, so shaping a model does not need specialist knowledge.

• Small models for edge and regulated use

  Tiny AutoScientist targets models from 0.8B to 8B parameters for on-device inference, edge deployment and regulated industries.

• Retraining from code

  An API and Python SDK start runs from a notebook or a pipeline, so models can retrain when your data changes.

How much does AutoScientist cost?

AutoScientist does not publish prices: Adaption Labs lists it as free to try, runs are paid in credits whose cost the app shows before you confirm, and larger teams can book a call with sales.

Adaption Labs has no pricing page and states no terms for the free try. Runs use credits: the order summary splits the cost of dataset expansion and training before you launch, and the API can estimate credits and run time without starting a run. Plans and current prices are on adaptionlabs.ai.

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