Datoric
运营中为多模态AI负责任地获取数据
公司简介
Datoric develops custom datasets for voice models, robotics, and world models, treating research, collection, verification, and production as one continuous process. We work closely with frontier model teams to turn emerging limitations into testable data hypotheses, while running our own experiments ahead of customer demand. This allows us to operationalize validated methods into repeatable collection systems at scale. Data is collected through private invite-only applications separated by modality, customer, and trust level. Every submission remains linked to the contributor, device, task, session, consent, rights, and processing history that produced it, giving our internal QA and fraud models the context to detect problems that may appear legitimate in the finished file. Each collection reveals new failure cases and quality signals that improve the systems behind the next dataset. Once a collection method is validated, it becomes a reusable data recipe for future custom projects or independently collected, rights-cleared data products. This allows Datoric to turn what is emerging at the frontier into datasets available ahead of broader market demand.
创始团队
Nikhil Reddy· FounderArzule 首席执行官。前量化工程师及软件工程实习生。芝加哥大学数学/经济学/计算机科学专业；2023年初绕过 Google OAuth 2.0 和 QA 测试人员，在付费数据标注网站上自动化处理超过 15,000 小时的工作量。
产品发布 · 1 次发布
Collecting the human experience AI needs, securely.
变化历史 · 11 条记录
- 2026年8月23日
- 更新了一句话简介19:00
- 更新了标签19:00
- 2026年8月21日
- 重写了公司简介19:00
- 更新了一句话简介19:00
- 更新了标签19:00
- 2026年8月9日
- 更新了创始人资料20:01
- 更新了 YC 主对接人20:01
- 2026年7月23日
- 更新了标签19:00
- 更新了一句话简介19:00
- 批次代码更新为「S26」19:00
- 批次标签更新为「Summer 2026」19:00