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Datoric

The secure training data R&D engine for physical AI

Over het bedrijf

Bedrijfsbeschrijving in het Engels

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.

Onderwerpen

Artificial IntelligenceMachine LearningRoboticsData LabelingB2B
Locatie
San Francisco, CA, VS
Teamgrootte
2 medewerkers
YC-batch
Summer 2026
Status
Actief
Fase
Vroege fase

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Vragen en antwoorden

Waar is Datoric gevestigd?

San Francisco, CA, VS

Hoeveel mensen werken er bij Datoric?

Aantal medewerkers volgens het bedrijfsprofiel: 2.

Heeft Datoric geld opgehaald?

In onze gegevens staan geen investeringsrondes van Datoric.

Wat zijn alternatieven voor Datoric?

Vergelijkbare startups: Moving Atoms, Gecko Robotics en Hub.