About

Licensed data,
sourced at the origin.

Datoric builds consented, licensed multimodal training data for frontier AI. This is the company behind the datasets — who we are, how to reach us, and where to verify it.

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Who we are

A data company built for teams that have to defend their data.

Datoric designs and delivers licensed, ethically sourced multimodal data for frontier AI: voice, video, computer-use, robotics, and physical-AI corpora sourced directly from consented contributors under clear agreements.

We source at the origin instead of scraping the open web. Our collection model establishes consent, provenance, and usage terms at the source, giving buyers a record to review during evaluation.

Our research group, Datoric Research, publishes evaluation notes on where frontier models break, with public PDFs, so the same standard we apply to data applies to what we claim about it.

Company record

The facts, and where to verify them.

Name
Datoric
Backed by
Y Combinator
Research group
Datoric ResearchResearch notesChecked July 21, 2026
Governing law
State of DelawareTerms of ServiceChecked July 21, 2026
Business contact
service@datoric.com
Research & collaboration
research@datoric.com
Code & prior identity
Maintained in the ArzuleDev GitHub organization, reflecting the project's earlier Arzule identity.ArzuleDev on GitHubChecked July 21, 2026
Dataset distribution
Datoric organization on Hugging Face, with access by request.Datoric on Hugging FaceChecked July 21, 2026
Privacy & data handling
Published privacy notice covering collection, use, and rights.Privacy NoticeChecked July 21, 2026

What buyers can count on

Four commitments that shape every engagement.

01

Provenance first

Contributor consent, licensing scope, and origin are defined as part of each collection specification, then made available for review with the dataset.

02

Claims with evidence

Where we state a capability, we link to the primary source — a datasheet, a specification, a published notice — rather than asking you to take our word for it.

03

Built to spec

Most valuable data does not exist yet. We run collection programs against your requirements, with QA and acceptance criteria agreed up front.

04

Long horizon

We care whether a dataset still holds up in five years. That bias shapes what we collect, how we document it, and what we are willing to promise.

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