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Automated Documentation of ML Development

You focus on coding, trail documents model, code, and data.

Automated Documentation

trail uses LLMs to generate accurate documentation of your ML development from code, data and model.
Saving you hours of time.

Model

Metrics, parameters and artifacts of your last model run

Data

Sources, metrics and distributions of your dataset

Increase the time you can use to develop and code ML models by up to 50%. trail helps you in automizing the manual tasks.

more time for coding

Code

Analysis and aggregation of information

Knowledge Sharing

Easy collaboration and onboarding within the ML team through standardized documentation with all relevant project information.

Summaries for high-level stakeholder and explanations for business - exported at a click.

With trail you can close the gap between tech and non-tech stakeholders during ML development. Bring ML engineers, AI team leads and Compliance one one page.

Easy Integration

Stay in your IDE - trail integrates into your infrastructure and frameworks.

Just add a few lines of code.

To use trail, you only need to implement a few lines of code, before you start running experiments.

Supports All Data & Model Types

Text

Tabular

Images

Regression

Classification

Segmentation

Compliance

Be audit-ready with regulatory conform documentation.
Takes minutes instead of weeks to prepare for technical AI audits.

Get Early Access

Try before you buy:
We will onboard you immediately in a 15-min call.

Or sign up to our waitlist below and get notified as soon as the trail copilot is publicly available.

Schedule Call Go To Waitlist Instead

Sign up to get a 30-day free trial.
Easy integration into your environment.
Focus on coding while trail takes care of documentation.

How trail works: Add a few lines of code, run experiments as you would normally do, view metadata from the ML development in trail and improve your project from here.

How it works

1. Choose Code

Choose the repo / code that you want to document with our CLI

2. Analyze

We analyze your code

3. Get Docu

You get your documentation, ready to share with your team

Seamlessly integrates into your workflow

Keep using what you like - trail integrates in your infrastructure and model frameworks

Integrate Tensorflow into trail.

Integrate pytorch into trail.

Integrate Keras into trail.

Integrate scikit-learn into trail.

Integrate Hugging Face into trail.

Integrate Tensorflow into trail.

Integrate scikit-learn into trail.

Integrate Tensorflow into trail.

Integrate pytorch into trail.

Integrate scikit-learn into trail.

Integrate Keras into trail.

Integrate Hugging Face into trail.

Integrate Tensorflow into trail.

Integrate scikit-learn into trail.

Integrate Pycharm into trail.

Integrate VS Code into trail.

Integrate AWS into trail.

trail integrates Python.

Integrate Google Cloud into trail.

Integrate Azure into trail.

Integrate Pycharm into trail.

Integrate VS Code into trail.

Integrate Pycharm into trail.

Integrate AWS into trail.

trail integrates Python.

Integrate Google Cloud into trail.

Integrate Azure into trail.

Integrate Pycharm into trail.

Join Waitlist

And get notified when the trail copilot is available.

Learn more

Leveraging Documentation: Implementing ML Model Cards for Better Decision Making

Leverage documentation in Machine Learning by implementing Model Cards.

The First Steps Towards a More Structured ML Development: Experiment Tracking

The First Steps towards a more structured Machine Learning development by tracking experiments.