Validate AI Data
Get your data AI-Ready and free from critical issues by auto-fixing label issues, ensuring accuracy and consistency across splits, and maximizing relevance for AI models with powerful tools to help you select and validate the highest quality datasets.
Supported Modalities
WHY LATTICEFLOW AI
LatticeFlow AI delivers the deep insights that AI teams need to refine their data strategy, addressing both labeled and unlabeled data.
2x
FASTER DATA MANAGEMENT
4x
REDUCTION IN COMPUTING COSTS
75%
DECREASE IN DATASET SIZE
Make the most of Unlabeled Data
Prevent model performance degradation by identifying and fixing data issues like wrong, inconsistent, and missing labels at scale. LatticeFlow AI helps machine learning engineers to ensure your data strategy remains aligned with the business objectives.
Find and Fix Data Issues at Scale
Improve your data strategy by identifying and curating representative subsets of your data that cover the same distribution while avoiding redundancies. Similarly, assign high priority to long-tail to ensure improved data coverage.
Key Capabilities
Reduce Costs with Model-Guided Data Collection
Collect data in a smart way - by estimating the expected model performance of unlabelled data, hard samples, and model blind spots - to minimize data collection costs and get the highest impact on model performance.
Automatically Fix Data
Expand and generalize existing issues at scale – go from a couple of incorrect samples to finding similar problems in the whole dataset. Identify risks for data leakage and remove duplicates from your datasets.
Create and Track Subsets Performance
Create subsets from interesting data points in your dataset. Track their performance across model results so you can make better informed and more confident deployment decisions.
Data that has been cleaned to ensure accuracy, consistency, and relevancy, and is continuously monitored for critical issues through it’s deployment lifecycle.
Interactive Demo
Customer Success Stories
How Click-Ins Innovates AI-driven
Vehicle Inspection Using Synthetic Data
LatticeFlow AI tools have played a crucial role in empowering our data science teams to improve the quality of our training data. By effectively resolving data issues such as poor-quality samples, inconsistent annotations, and data biases at scale, we can now expedite the delivery of highly accurate models and provide a superior service to our clients.
- Dmitry Geyzersky
Co-Founder and CTO, Click-Ins
