Datoric
Security-first training data
About Datoric
Datoric provides custom training data for voice models, robotics, and world models. We manage the full process from contributor recruitment and task design to secure collection, quality control, rights management, and delivery. Our collection infrastructure is private by design. Voice, robotics, and world-model projects run through separate applications and sites, so contributor pools, task requirements, incentives, and data flows do not mix across modalities. Within each system, customer projects are isolated in private workspaces. Only approved contributors can access assigned tasks, with no public task listings, upload links, or contributor APIs. We also build quality into the collection process instead of relying only on review after the data arrives. Contributors are qualified and matched before they participate, collection requirements are enforced inside each workflow, and early submissions are tested before a project scales. Every sample is then linked to its contributor, consent, usage rights, collection history, and review record. Datoric’s mission is to make human-generated training data more secure, reliable, and responsibly sourced from the moment it is created.
Founders
Nikhil Reddy
Founder
CEO @ Datoric. Prev Quant & SWE Intern. Math/Econ/CS @ UChicago; Bypassed Google OAuth 2.1 and QA testers to automate 15,000+ hours on paid data annotation sites in early 2023.
Jeffrey Lin
Founder
CTO @ Datoric. Prev AI/ML & SWE Intern. Math & CS & Robotics at NYU.