carrot is a copilot for fine-tuning LLMs.

Our agents automate the entire loop from data generation to training run debugging, so engineers can build specialized models without weeks of overhead.

See carrot in Action

Just describe what you need. Carrot handles the rest.

1. Describe 2. Debug 3. Ship
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Your Team's Most Productive ML Engineer

Fine-tuning LLMs is complex, time-consuming work that requires deep expertise.

Carrot is an AI copilot that empowers your engineering team to do expert-level ML work, automating the complex loops of fine-tuning so you can ship specialized models faster.

End-to-End Automation

Forget manual data cleaning and hyperparameter guessing.

Carrot handles everything from generating synthetic data to debugging training runs, all tailored to your use case.

Data
Train
Debug
Ship

Data Generation

Automatically generates high-quality synthetic datasets tailored to your specific domain and edge cases.

Reward Functions

Intelligent reward modeling that learns from feedback to guide your model towards optimal behavior.

Job Automation

Hands-off management of fine-tuning jobs, scheduling, and resource allocation.

Auto-Debugging

Our copilot analyzes failures in real-time and suggests fixes for training instability.