Ocular AI

Ocular AI is an applied research lab focused on encoding human expertise into AI models. It builds data infrastructure and an expert network to produce proprietary training data, alignment signals, and evaluations across multiple modalities, languages, and domains to improve conversational AI and related tasks.

Their Data Foundry engine transforms raw expert knowledge into structured training data, alignment signals, and rigorous evaluations at scale. They partner with domain professionals to capture what they actually do, producing expert-level training data, domain-specific datasets, alignments, evaluations, benchmarks, and tools (including tasks, RL environments, and rubrics). The product suite includes full-duplex conversational datasets, multilingual voice data, domain-specific speech datasets, transcription and annotation datasets, and production-grade datasets for TTS, voice cloning, and speech-to-speech applications, all labeled with scenario, role, and intent in 40+ languages.

Who it’s for: AI/development teams and research labs building advanced conversational AI and voice-enabled systems across industries who need high-fidelity, expert-annotated training data and evaluation metrics.

Hiring/product development activity implied by scale of data pipelines and expert network; mentions of data foundry and datasets suggest active R&D and productization efforts.