Collect, curate, and annotate data. Train models and evaluate. Repeat.
Omni can provide the core tenet of any dataset with high-quality labels from domain experts.
Our rigorous quality assurance processes ensure accurate annotations, consistent labeling standards, and validated outputs that meet the highest industry benchmarks for AI training data.
Easily find, categorize, and fix model failures with Omni's Data Engine.
Then, optimize labeling spend with high-value curated data.
Reduce operational costs by up to 60% while maintaining premium data quality through intelligent automation and smart resource allocation.
Omni's data engine can support any ML project from lower-volume experiments to high-volume production projects.
Scale up, or down, as needed.
Our elastic infrastructure handles millions of data points seamlessly, adapting to your project demands without compromising performance or quality.
Omni delivers the greatest variety and diversity of data to help deliver the greatest value to your model performance.
Access comprehensive datasets spanning multiple domains, languages, and edge cases to build robust, unbiased AI models that perform consistently across diverse real-world scenarios.
Data engine is the process of improving machine learning models with high quality, diverse and large datasets powered by experts.
After initial pre-training, create complex prompt-response pairs from scratch.
Apply human preferences to model outputs.
Use prompt injection techniques to find vulnerabilities.
Evaluate your model against a set of complex and diverse prompts to find weak points.
Start free and scale as you grow. No hidden fees.