Ocular AI

Ocular AI is an applied research lab that turns human voice, vision, reasoning, and professional expertise into structured training data, alignment signals, and evaluations for frontier AI models. It addresses the gap that models trained on text and synthetic data struggle with real-world nuance, such as tone, accent, gesture, and domain judgment.

Its offerings include an Expert Professional Network of practitioners across domains and languages, a Data Foundry pipeline, and datasets spanning Speech-to-Text, Text-to-Speech, full-duplex audio, and full-duplex audiovisual conversations. Other products cover Transcription-as-a-Service, licensed professional voice actor recordings, multimodal data, off-the-shelf datasets, and custom evaluations and training sets. It also publishes public benchmarks, including Converse-STT for conversational speech-to-text, and supports work in over 40 languages.

The products are aimed at teams building conversational AI, speech models, and other frontier systems that need domain-specific, multilingual, and annotated data. Packaging details such as plans, trials, or seat-based pricing are not stated on these pages.