Datoric

The secure training data R&D engine for physical AI

Datoric operates in b2b based in San Francisco, CA, USA.

Profile

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 and model failures 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, we scale it up as a solution to the model failure and it also becomes a reusable data recipe for future custom projects or independently collected, rights-cleared data products.

Within the b2b space, the company focuses on its core offering rather than a broad product line.

The business is associated with San Francisco, CA, USA.

Its current recorded stage is Summer 2026.

Its team size is recorded as 2 employees.

Website: www.datoric.com