Streamline ML Experiments

Use AI to set-up, launch, and reproduce ML experiments

llog runs your stack

End-to-end experiment lifecycle management

Templatized Configs

Guided set-up by templatizing configs from YAML files or argparse code.

Web GUI

Make experiment modifications visually.

Visualize Results

No-code visualization of experiment outputs.

Experiment Launching

Launch & run experiments on your server or via SLURM.

Version Control

Reproduce experiments to support real-time collaboration.

Adding Parameters

Add new parameter across your entire pipeline in one-click.

Dev Tools that just work

We help ML researchers leverage AI to to automate away the software engineering burden of running their experiments & pipelines

1 Sec Operation - Dark X Webflow Template

40% Less Time on Software Engineering

Stop wasting time on repetitive software tasks. Visualize experiments without writing manual code.

No Commissions - Dark X Webflow Template

Manage Configs as Classes

Our AI understands the semantics of your data. Stop copy & pasting code between YAML files.

Get to Results Faster

AI tools to get run experiments & visualize results

Saving Account - Dark X Webflow Template

Automated Visualizations

Ask the AI questions to visualize features in the data with no-code / low code.

Real Time Trading - Dark X Webflow Template

Work with your Infrastructure

Launch experiments in one-click on your server.

Create your account and start building today

FAQ

What is llog? Why do I need it?
How does LLog determine how to merge data? Can I customize the merging logic?
What metrics are used to measure pipeline performance?
Is there support for predictive analytics to prevent future anomalies?
Can I customize the thresholds for what is considered an anomaly?