Improve the accuracy of your training data.
We provide innovative solutions with critical features to help you work more efficiently with data centric problems so you can focus on model designs.
The common Machine Learning workflow.
1 | Collection
Access current datasets and collect new data points.
2 | Cleaning
Import, aggregate, discard, and manage existing data.
3 | Annotation
Structure datasets with labels, classes, and objects.
4 | Visualization
Understand statistical distribution and data significance.
5 | Enrichment
Create new data points, enhance, and transform datasets.
6 | Feature Engineering
Learn about feature correlations, redundancy, and efficiency.
7 | Training & Validation
Train and validate model performance on labeled datasets.
8 | Deployment
Deploy performing models for production.
9 | Improvement
Boost performance through process iteration.
Developed with you in mind.
From enthusiasts to innovators, our user community provides resources, toolkits, and learning for every role within the artificial intelligence and machine learning space.
We support your passion for machine learning, gaining expert knowledge, and expanding your skill sets.
Our tools can increase your annotation speed, improve accuracy, and help you succeed faster.
We alleviate your data collection burdens, enabling you to focus on and create smarter algorithmic designs.
We are committed to helping you pioneer research and create lasting industrial impacts.
Our tools help you boost algorithmic performance and efficiently allocate project resources.
We help you focus on implementation, performance, minimizing risk, and maximizing revenue.