Ocular AI

Ocular AI is a platform focused on encoding human expertise into AI models by transforming real-world knowledge into structured training data, alignment signals, and evaluations. It specializes in capturing nuanced human interactions across modalities like voice, vision, and reasoning to improve AI performance in real-world scenarios.

Ocular AI is designed for enterprises and AI labs, particularly those building conversational AI, speech models, or domain-specific applications requiring high-quality, human-like data. It caters to professionals in fields like linguistics, voice technology, and AI research.

Ocular AI provides datasets such as full-duplex conversational audio, domain-specific speech datasets, scripted voice datasets, and annotation/evaluation datasets. These datasets span over 40 languages and include features like emotional tagging, prosodic markers, and scenario-anchored conversations.

Ocular AI captures human expertise through its Expert Network and Data Foundry, which transforms raw human interactions—such as negotiations, medical intakes, or customer support conversations—into structured training data. This process preserves nuances like tone, timing, and cultural context.

Yes, Ocular AI offers datasets specifically designed for voice AI training, including full-duplex conversations, domain-specific speech datasets, and scripted voice recordings. These datasets are tailored for tasks like text-to-speech, voice cloning, and conversational AI.

Yes, Ocular AI provides datasets in over 40 languages, including American English, French, Arabic, Spanish, Mandarin, Japanese, German, Hindi, and Polish. The datasets are designed to capture linguistic and cultural nuances for global applications.