
What is Ocular AI
Ocular Foundry is a comprehensive platform designed to transform petabytes of multi-modal, unstructured data into golden datasets, enabling the deployment of powerful, production-ready AI applications. It supports expert human feedback (RLHF) through Ocular Bolt to enhance model performance. The platform is trusted by engineers from leading AI and software companies and is built to meet the needs of the modern AI industry, whether for startups or enterprises.
How to Use Ocular AI
- Annotate and Review: Use the intuitive canvas for data annotation and review.
- Orchestrate Workflows: Set up and manage workflows and pipelines.
- Version Datasets: Track changes and maintain multiple versions of datasets for model iterations and reproducibility.
- Collaborative Annotation: Invite team members, external annotators, and reviewers to label data collaboratively.
- Label Management: Define and organize label attributes for consistency and gain insights into label distribution and data quality.
Use Cases of Ocular AI
Ocular Foundry is ideal for organizations looking to enhance their AI models by transforming unstructured data into high-quality datasets. It supports collaborative annotation, label management, dataset versioning, and integrates seamlessly with existing tech stacks, making it suitable for ambitious AI projects across various industries.
Features of Ocular AI
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Collaborative Annotation
Invite team members, external annotators, and reviewers to label data collaboratively, ensuring high-quality annotations.
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Label Management and Insights
Define and organize label attributes to maintain consistency and gain insights into label distribution and data quality.
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Dataset Versioning
Track changes and maintain multiple versions of datasets to support model iterations and ensure reproducibility.
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Enterprise-grade Security
Built with top-notch security measures and protocols to protect data, ensuring enterprise-grade security.
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Integration with Tech Stack
Seamlessly integrates with existing tech stacks and workflows, allowing data to stay on your infrastructure.