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Ooak Data

The data infrastructure for frontier AI

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Ooak Data is an applied AI research lab that converts real company data into reinforcement learning environments for training and evaluating AI agents. The process sources multimodal data from real organizations, anonymizes it into digital twins that preserve structure and relationships, and generates RL environments with expert-level, multi-step tasks calibrated against frontier models.

The pipeline covers documents, communications, and tools such as Slack, Gmail, Notion, Jira, SharePoint, and Teams, with automated multimodal anonymization that transforms names, dates, and proprietary content while keeping multi-tool coherence and structural fidelity. Environments are designed as multi-step, multi-tool workflows rather than single-turn question answering, intended to expose weaknesses in agent performance.

The offering targets frontier AI labs, enterprise AI teams, and AI startups seeking evaluation infrastructure grounded in real workflows. Packaging details such as plans, trials, or editions are not specified on the page; interested parties are directed to get in touch.

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