[What the data was for]
[What you delivered, how it was enriched, and how fast.]
Sourced directly from the studios, publishers, creators, and companies that own it, across audio, video, images, text, code, robotics, and business operations, and delivered with the labels models train on. AI teams get data they can defend. Owners get paid.
License existing data across nine data types, request the catalogue and free samples, or commission data collected to your spec.
Explore training data For studios, publishers, and rights holdersFilm, audio, publishing, archives, or company data. We package it for AI labs on your terms, and you keep ownership.
License your contentHave company data like messaging, docs, CRM, or code? License your business data
Off the shelf where we have it, collected to your spec where we don't.
Conversational, accented, expressive, and low-resource speech, plus long-form audio.
Long-form, instructional, egocentric, and action video with dense captions.
Captioned images, documents, charts, products, and geospatial imagery.
Books, journalism, scientific, legal, and financial text, in many languages.
Permissive source, repositories, pull requests, execution traces, and SQL.
Chain-of-thought, math, verifiable problems, agent trajectories, and private evals.
Preference pairs, demonstrations, red-teaming, moderation, and factuality labels.
Teleoperation, manipulation, driving, LiDAR, IMU, and drone data.
Anonymized messaging, documents, CRM, tickets, and code from real companies.
Start with what is already built, or have us build exactly what you need.
Rights-cleared data ready to deliver, with a sample and datasheet before you commit.
Request the catalogueData collected to your exact spec: any language, domain, modality, or annotation schema.
Start a briefSend us raw content. We return it with transcripts, labels, captions, and quality scores attached.
How enrichment worksOwn a library or company data? We turn it into a licensable product and find the buyers.
See how it worksEvery asset ships with the labels models train on, in one consistent JSON format whatever the data type.
{
"asset_id": "ar-MISC-15m-002",
"language": "ar",
"duration_seconds": 1610.401,
"speaker_count": 3,
"utterances": [{
"speaker": 0, "start": 1.521, "end": 12.32,
"confidence": 0.735,
"words": [
{ "word": "طيب", "start": 1.521, "end": 2.462, "confidence": 0.766 },
{ "word": "خلينا", "start": 2.542, "end": 3.464, "confidence": 0.676 },
{ "word": "نتكلم", "start": 3.484, "end": 3.885, "confidence": 0.777 },
…
]
}, … ]
}{
"clip_id": "vid-instr-00412",
"duration_seconds": 9.6,
"resolution": "1920x1080",
"scenes": [{ "start": 0.0, "end": 4.2, "label": "kitchen, close-up" }, … ],
"actions": [{ "start": 1.1, "end": 3.8, "verb": "slice", "object": "onion" }],
"camera_motion": "static",
"caption": "A person slices an onion on a wooden board."
}{
"doc_id": "txt-legal-08831",
"type": "commercial lease",
"language": "en",
"sections": [{ "heading": "Term", "tokens": 412 }, … ],
"entities": [{ "text": "[PARTY_A]", "type": "organization" }],
"summary": "Five-year lease with one renewal option.",
"pii_redacted": true
}{
"repo_license": "MIT",
"language": "python",
"path": "billing/invoice.py",
"function": "apply_discount",
"tests": [{ "name": "test_zero_discount", "passed": true }],
"trace": "traces/apply_discount.jsonl",
"docstring_generated": false
}{
"source_system": "helpdesk",
"company": "[COMPANY_17]",
"thread": [
{ "role": "customer", "author": "[PERSON_1]", "text": "Our export failed overnight." },
{ "role": "agent", "author": "[PERSON_2]", "text": "Rerunning it now, fixed by 10am." }
],
"workflow": { "escalated": false, "resolution_hours": 3.5 },
"anonymized": true
}Anonymized at our clients' request.
[What you delivered, how it was enriched, and how fast.]
[What you delivered.]
[What you delivered.]
Every record carries documented consent and a license chain, with an audit trail on delivery.
We license directly from studios, publishers, and contributors, not from resellers.
A representative slice and full datasheet on request, so you can test fit first.
The source data, whether audio, video, images, text, code, sensor logs, or anonymized business records, cleaned, deduplicated, and consistently formatted. Plus enrichment as JSON and JSONL sidecars: transcripts, captions, boxes, entities, test results, or workflow labels depending on the data type. Every delivery includes a datasheet and the documentation behind the rights.
Yes. Request the catalogue or describe what you need, and we send a representative sample and datasheet so you can evaluate fit before any licensing conversation.
Each record carries documented consent and a license chain we can show you. You receive an audit trail tying the data to its source and rights basis, so your legal team can defend its use.
We collect it. Share a spec covering language, domain, modality, annotation schema, and volume, and our sourcing network and enrichment pipeline build it to order.
As JSON and JSONL alongside the raw media, with WebDataset or Parquet on request. We deliver to AWS S3, Google Cloud Storage, Azure, or your own bucket.
Many datasets are available both non-exclusively and exclusively. Exclusive and first-look deals are scoped case by case.
Tell us what you hold, whether that is a media library or your company's operational systems. We review the rights you control, enrich the content into a licensable product, and license it to vetted AI buyers on terms you set. You keep ownership and get paid for every license.
Collection follows documented consent, and we screen and redact personal information appropriately for each modality. Details are in each dataset's datasheet and our Privacy Policy and Data Processing Addendum.
Data to train on, or data to license. We reply within one business day.