
What is Ocular AI?
Ocular AI is a data foundry platform designed for the multi-modal AI era. It helps enterprises transform unstructured, multi-modal data into golden datasets to power generative AI, frontier models, and computer vision applications. The platform offers tools like Ocular Foundry for data labeling and Ocular Bolt for expert human feedback (RLHF) to enhance models. It aims to streamline the process of deploying powerful, production-ready AI applications by addressing data silos and improving efficiency.
How to use Ocular AI?
To use Ocular AI, you can start by transforming unstructured, multi-modal data into golden datasets using Ocular Foundry. Then, add expert human feedback with Ocular Bolt to enhance your models. The platform integrates with your existing tech stack and offers features for annotation, workflow orchestration, and dataset versioning.
Ocular AI’s Core Features
Data transformation into AI-ready datasets Multi-modal data support Data labeling and annotation Workflow orchestration Dataset versioning Human feedback integration (RLHF) Enterprise-grade security Integrations with existing tech stacks
Ocular AI’s Use Cases
- Transforming unstructured data for generative AI applications
- Powering frontier models with high-quality datasets
- Enhancing computer vision projects with labeled data
- Deploying production-ready AI applications
- Improving model performance through human feedback
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