Linear Logic is designed to facillitate an agile workflow and systematic approach on Machine Learning projects. We provide one integrated solution to manage the entire Machine Learning lifecycle.
A model is only as good as the data it's trained on. Being able to quickly iterate upon your data is key to create more performant models. Bring together your data, labels and model predictions for in-depth insights.
Data Querying & Visualization
RADICALLY EFFICIENT DATA ANNOTATIONS
Humans are particulary bad at repeatedly performing high precision tasks. We believe that the only way to scale your AI operations is by minimising the manual labour required to do so. Use ML-supervised tooling to reduce annotation time by up to 90%!
Quickly choose what data to label with active learning and advanced querying. Visualize data, identify edge cases with integrated model predictions, and make continuous iterations.
ZERO TO AUTOMATE
Structure the throughput of your data. Add consus stages, automatically assess annotator uniformity, bring models in the loop and audit tasks.
Never lose track of your annotation versions as your dataset evolves. Reference each model to a dataset version.
The only way to scale your AI operations is to minimize manual labour. Work with your ML-models and automate the annotation process.
Identify weak spots in your models or edge-cases using our sorting and visualization tooling.
Train your models on the cloud and directly deploy a production-ready ML-model accessible by API.
Bring together your data, labels and model predictions to assess performance and indentify edge-cases.
Iterate to innovate. Quickly search through troves of data to identify edge-cases and use our annotation tooling for hyperspeed dataset curation.
Linear Logic provides a unified process to structure your data, optimized for the ease of experimentation.
The most cost effective model deployment solution