Training data, licensed & sourced

The data layer for frontier models.

Rights-cleared training data across every modality. Licensed, enriched, and sourced. Compliant by design.

70+
Off-the-shelf datasets
220+
Languages & locales
100%
Rights-cleared sourcing
modelcore.engine: signal → structure
ingesting…
Try: accented English speech long-form video with captions chain-of-thought reasoning medical Q&A image captions for VLMs LiDAR point clouds call-center audio with intent text-to-SQL pairs RLHF preference data robot teleoperation

Sourcing & enrichment partner to teams building at the frontier

NORTHWIND AIHelix LabsVERTEX PolymathOpenFieldCumulusAckerman & Co
What we do

Five ways we power frontier AI.

01

Off-the-shelf datasets (OTS)

70+ rights-cleared datasets. 8 modalities, 220+ languages.

Browse the catalogue →
02

Custom data collection

Our partner network collects data to your exact spec, anywhere, at any scale.

Commission collection →
03

Data enrichment

Raw content from any source becomes model-ready training data with 10+ JSON layers, plus customization.

See how enrichment works →
04

Data acquisition & brokerage

We acquire, license, and distribute data between owners and buyers.

Talk to our team →
05

Data & AI strategy

Consulting for your data strategy, monetization roadmap, sourcing requirements, and where AI fits in your business.

Start a conversation →
The catalogue

Off-the-shelf datasets, ready to license.

Fast, enriched, cleared for training. Browse by category.

🔒 Behind the curtain

Datasets teams are licensing right now.

A live look at what frontier teams are training on this week.

🔒 Access-restricted

Evaluation data, contamination-controlled.

The held-out eval sets labs use to gate releases. Authored by experts, rotated to prevent leakage.

Enrichment

Every asset ships with the intelligence models train on.

Save on compute, along with hundreds of hours of work from your producers and engineers.

Live example

A real pack from a 15 minute Arabic conversation.

Asset ar-MISC-15m-002 Language Arabic (ar) Duration 26:50 Speakers 3 Audio 48kHz / 16-bit WAV
metadata.json
Speech: transcription, diarization, sentiment, topics, summary, vocal isolation Images: captions, boxes, masks, OCR, attributes Video: scenes, actions, tracking, captions Text: entities, structure, topics, sentiment Code: AST, tests, traces, docs Robotics: sensor sync, calibration, labels
More about the pack
The labels models learn from. Transcripts, speaker turns, sentiment, topics, summaries.
One schema, every modality. Consistent JSON across speech, image, video, text, and code.
Trust on every second. Quality metrics, human-versus-synthetic scores, and provenance.
Why ModelCore

Built for buyers who can't take rights risk.

⚖️

Provenance you can defend

We stand behind every one of our assets.

🎯

Model-ready, not raw

Cleaned, annotated, formatted to your schema.

🌐

Depth + diversity

Balanced across languages, demographics, and domains.

🔁

Sample before you commit

Free sample and datasheet before you commit.

How it works

One platform, two sides of the data economy.

01

Browse data

02

Sample & evaluate

03

Purchase License

04

Start training

For demand

Frontier labs, Mag7 teams, enterprise ML.

🌐 We supply your suppliers. Buy from the original source, not a reseller.
  • Pretraining & fine-tuning corpora
  • Evaluation & RL data
  • Exclusive & non-exclusive licensing
01

Submit your catalogue details

02

We enrich & package

03

List or license

04

Get paid

For supply

Publishers, rights holders, creators.

  • Monetize archives without losing control
  • Enrichment included
  • Recurring revenue share
Can't find it? We'll build it.

If it isn't in the catalogue, we'll source it.

Custom collection and enrichment to your exact specification, language, domain, modality, annotation schema, and scale.

Dataset catalogue

License-ready training datasets.

Filter by modality and language, or describe what you need and let AI search match it.

Specifications

What's included with every dataset

⬡ Baseline data

Clean, structured, model-ready

  • The core modality files, audio, image, video, text, code or sensor logs
  • Deduplicated, quality-filtered and consistently formatted
  • Documented provenance, license and consent records
  • Datasheet covering collection method and known limitations
✦ Premium enrichment

The labels buyers actually train on

  • Attached annotations as JSON & JSONL sidecars
  • Transcripts, diarization, boxes, masks, captions or preferences, per modality
  • Optional human verification for gold-standard quality
  • Delivered via AWS S3, GCS, Azure or your own object storage

No deal is too large or too small, from a targeted slice to a multi-terabyte corpus, and we collect and source data from all over the world.

Primary use cases

Performance documentation

Full benchmark methodology, evaluation harness, and per-slice breakdowns are included in the datasheet provided with every sample request.

Custom collection & enrichment

Data sourced to your exact specification.

When the catalogue doesn't cover it, our collection network and enrichment pipeline build the dataset you need, any language, domain, modality, or annotation schema.

STEP 01

Scope

We define spec, schema, volume, quality bar, and rights model with your team.

STEP 02

Source

We recruit contributors or license content with documented consent and rights.

STEP 03

Collect

Managed collection with QA gates, redundancy, and demographic balancing.

STEP 04

Enrich

Transcription, labeling, preference, and validation by trained or expert annotators.

STEP 05

Deliver

Model-ready output in your format, with full datasheet and audit trail.

What we can build

If it can be collected or labeled, we can source it.

🎙️

Speech & audio

Scripted or spontaneous, any language, accent, acoustic condition, or emotion.

🎬

Video & multimodal

Egocentric, instructional, domain-specific, with the annotations you define.

🧠

Reasoning & preference

Chain-of-thought, RLHF, red-team, and expert-verified evaluation data.

🏥

Expert domains

Medical, legal, financial, scientific, annotated by credentialed specialists.

Get in touch

Tell us what you need.

Goes straight to our data team at data@modelcore.io.

Performance documentation

Every dataset ships with the receipts.

We document quality the way a research team would, transparent metrics, reproducible methodology, and per-slice breakdowns so you know exactly what you're licensing.

📊

Benchmark suite

Standardized metrics per modality, WER, alignment accuracy, label agreement, and more.

🔬

Reproducible methodology

Published evaluation harness and protocol so you can verify our numbers yourself.

🪟

Per-slice transparency

Breakdowns by language, demographic, domain, and difficulty, not just headline figures.

📄

Datasheet for every set

Composition, collection, consent, intended use, and known limitations, every record.

🧠

How we hit these numbers. Our enrichment runs a council of every leading model, best-available ASR, vision, and language models ensembled per language and modality, then reconciled against one another. Where accuracy matters most, human verification corrects the ensemble to a gold standard. The result: machine labels at the frontier of what's possible, and human-verified labels beyond it.

Speech · transcription quality

Recognition accuracy by language tier.

Word Error Rate (WER) and Character Error Rate (CER) from our model council, with human-verified gold available across every tier. Lower is better.

TierExample languagesCouncil WERCouncil CERHuman-verified
Tier A · High-resource
45+ languages
English, Spanish, Mandarin, French, German, Japanese, Portuguese, Italian, Hindi, Arabic (MSA) 2–5%1–3%<1%
Tier B · Mid-resource
90+ languages
Vietnamese, Polish, Turkish, Ukrainian, Tamil, Thai, Greek, Hungarian, Hebrew, Malay 5–10%2–5%<1.5%
Tier C · Low-resource
85+ languages
Swahili, Amharic, Khmer, Lao, Sinhala, Zulu, Yoruba, Uyghur, Quechua + endangered languages 9–18%4–9%<2%

220+ languages covered in total. Tier C model figures reflect genuinely low-resource conditions, and it's exactly where our human-verified gold transcripts earn their keep, closing the gap to under 2% WER.

Sample metrics

What our performance docs look like.

3.8%
Median WER
Conversational speech, clean audio
0.94
Inter-annotator κ
Cohen's kappa across labelers
98.7%
Rights-clearance rate
Records with documented consent
±0.5s
Caption alignment
Temporal grounding error
220+
Languages evaluated
With per-language slices
<0.3%
Duplicate rate
After near-dup removal

Representative figures across our catalogue. Each dataset ships with its own measured numbers, full methodology, and per-slice breakdowns in the datasheet.

Want the full datasheet for a dataset?

Request a sample and we'll include complete performance documentation and methodology.

About ModelCore

We turn the world's content into the data models learn from.

ModelCore sits between the people who own valuable content and the teams building frontier AI, sourcing, enriching, and licensing training data that's compliant by design and ready to train on.

2023
Founded
71
Off-the-shelf datasets
220+
Languages & locales
40+
Enterprise & lab partners
Why this matters

Data and compute are the bottleneck.

Model performance is gated by two scarce inputs: compute and data. The frontier labs have poured extraordinary resources into compute, but the supply of high-quality, rights-cleared, richly-labeled training data has not kept pace. Increasingly, data is the binding constraint on how good models can get.

That constraint isn't only technical. The capabilities that matter to society, assistants that work in every language, models that reason reliably, systems that are safe and fair, all depend on data that is diverse, well-sourced, and faithfully annotated. When the data is thin, biased, or legally fraught, progress slows and risk goes up.

ModelCore exists to relieve that bottleneck responsibly. We unlock the world's underused content, enrich it into model-ready data with a council of leading models and human verification, and license it under terms creators and labs can both stand behind. Better data, sourced fairly, is how the next generation of models, and the advances they bring, actually get built.

What we stand for

⚖️

Compliance first

We don't ship data we can't stand behind. Consent and rights are the foundation, not an afterthought.

🤝

Fair to creators

The people who make content share in the value it creates downstream. Transparent revenue, always.

🔬

Research-grade rigor

We measure and document quality like a lab, because the teams we serve depend on it.

Build with data you can trust.

Whether you're buying, supplying, or commissioning, let's talk.

FAQ

Questions, answered.

Contact

Let's talk data.

Tell us whether you're looking to license, supply, or commission, and we'll route you to the right person. Prefer to talk live? Schedule a call →

Routed to the right team based on your selection above. No account needed.

Prefer to skip the form? Schedule a call Email us
What we do

Five pillars, one data partner.

The full data lifecycle, one partner.

📦

Off-the-shelf datasets (OTS)

Rights-cleared datasets, ready to license in your format.

  • 70+ datasets, with a free sample and datasheet before you commit
  • Delivered as JSONL, WebDataset or Parquet via S3 / cloud storage
  • Signed license and full audit trail on every set
🛰️

Custom data collection

Our partner network collects data to your exact spec, cleared for use.

  • Partner network across languages, regions & demographics
  • Audio, image, video, text, code & sensor capture to your schema
  • Consent & rights tooling built in, delivered via S3 / cloud

Data enrichment

Raw content becomes model-ready training data, with the labels buyers train on.

  • Transcription, diarization, captioning, boxes, masks & preferences
  • Optional human verification and synthetic-content detection
  • Attached as JSON / JSONL sidecars on every record
🔁

Data acquisition & brokerage

We acquire, license, and distribute data between owners and buyers.

  • Acquire, license, and relicense across every modality
  • Exclusive & non-exclusive deals, any size
  • Rights, consent & audit trail on every transaction
🧭

Data & AI strategy

Data strategy, sourcing and evaluation, and where AI fits.

  • Data strategy & sourcing roadmaps
  • Evaluation & benchmark design
  • AI opportunity assessments for your operations
Not sure where to start?

Tell us the problem. We will point you to the right pillar.

From a single dataset to a full data and AI strategy, we will route you to the right team.

Schedule a call
Careers

Help build the data layer for frontier AI.

We're a small, fast team working at the bottleneck of model progress: data and compute. If you want your work to show up in the next generation of models, we'd love to talk.

Back-End Engineer

Build the pipelines, APIs, and storage that move petabytes of training data from collection to delivery, reliably, securely, and fast.

EngineeringRemote / HybridFull-time
Apply →

Forward-Deployed Engineer (FDE)

Work directly with frontier labs and enterprise teams to scope, ship, and integrate custom data solutions into their training stacks.

EngineeringCustomer-facingFull-time
Apply →

Business Development Representative (BDR)

Open conversations with the teams building the world's models, qualify needs, run discovery, and grow the top of our pipeline.

Go-to-marketRemoteFull-time
Apply →

Data Operations Lead

Run global collection and annotation programs end-to-end, vendors, quality, throughput, and the human-verification workflows behind gold data.

OperationsHybridFull-time
Apply →

Don't see your role? Tell us what you'd build, hello@modelcore.io.