The data science copilot that enables trust and efficiency
Efficiency
Save Time During ML Development
Our copilot is your new best friend: it automates the manual, time-consuming and annoying tasks of machine learning development, like documentation, searching for information and communication.
Automated Documentation
Automated model, data and code documentation by just one click
Manage Experiments
Track, manage and share experiment runs to improve your model with advanced recommendations
Centralized Information
Find all relevant project information in one place without searching
Trust
Increase Quality and Gain Trust
Keep doing what you love while making sure you can trace and trust the outcome. Mitigate risks and reduce manual overhead of upcoming regulation already during machine learning development.
Deliver with Confidence
Ship to production with confidence, knowing your model performs the way you intend
Explainability and Tests
Enhance explainability and mititgate risk with the integrated trail test suite
Compliance by Design
Achieve compliance by design - with governance frameworks for all use cases and automated audit trails
Flexible. Easy. Safe.
Keep using what you like
Simply a few lines of code
pip install trailml
import mlflow
from trail import Trail
with mlflow.start_run() as run:
with Trail('myProjectAlias') as trail:
#your training code here
Enjoy European privacy
Your model and data belong to you, we only store metadata
Hosted on European servers
Strive Towards Collaboration
Close the gap between tech and non-tech stakeholders and assure all needs are met. Ease communication friciton with collaborative yet stakeholder-specific views.
Supported by leading organizations
