About
Licensed data,
sourced at the origin.
Datoric builds consented, licensed multimodal training data for frontier AI. Learn how we source data, what buyers can expect, and how our methods work.
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.
Datoric Research is the company's research publishing group. Earlier paper editions used the Datoric Labs affiliation; current articles, citations, and structured data use Datoric Research consistently.
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, such as a datasheet, specification, or 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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More of the record
How it works
From spec to delivery: the end-to-end collection and review workflow.
Data rights & provenance
How consent, licensing, and origin are defined and reviewed.
Quality methodology
Modality-specific checks for datasets and benchmarks.
Security & privacy
Request-based access, privacy handling, and program safeguards.
Licensing
Commercial license scope and the terms buyers review.
Custom data collection
Build-to-spec programs for data that does not exist yet.