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dataForModel - We provide data for large model training — 18 websites ranked by shared content topics, category and on-page relevance.

Each result shows its full tech stack, contacts and AI-policy — not just a name · Browse all sites in Artificial Intelligence →

Domain	Match	Title	Country/Lang	Category	AI files	Contact	AI-protection
nxtscape.net ↗	71 match 1 shared topics	Nxtscape Data - Proprietary Training Data for Computer Use & Large Action Models	en	artificial-intelligence	robotsllmsaihumans	emailphone	none
1uel.com ↗	69 match 1 shared topics	Luel - AI Training Data Marketplace	en	artificial-intelligence Lightspeed	robotsllmsaihumans	emailphone	partial · 8
trythenai.com ↗	68 match 1 shared topics	ThenAI — Proprietary datasets for AI training	en	artificial-intelligence	robots llmsaihumans	emailphone	none
midjourneydataset.com ↗	68 match 1 shared topics	Midjourney Dataset for training your image generation model	en	artificial-intelligence	robotsllmsaihumans	emailphone	none
shaipteam.com ↗	68 match 1 shared topics	End-to-End AI Data and Generative AI Platforms for AI/ML Model Training - Shaip	United States~ en	artificial-intelligence WordPress	robotsllmsaihumans	email phone	none
shaipad.com ↗	68 match 1 shared topics	End-to-End AI Data and Generative AI Platforms for AI/ML Model Training - Shaip	United States~ en	artificial-intelligence WordPress	robotsllmsaihumans	email phone	none
shaip.com ↗	68 match 1 shared topics	End-to-End AI Data and Generative AI Platforms for AI/ML Model Training - Shaip	United States~ en	artificial-intelligence WordPress	robotsllmsaihumans	email phone	none
shaip-deid.com ↗	68 match 1 shared topics	End-to-End AI Data and Generative AI Platforms for AI/ML Model Training - Shaip	United States~ en	artificial-intelligence WordPress	robotsllmsaihumans	email phone	none
chemin.com ↗	67 match 1 shared topics	Enterprise Training Data and RL for Agentic AI \| Chemin AI	en	artificial-intelligence	robots llmsaihumans	emailphone	none
1gn.ai ↗	67 match 1 shared topics	1GlobalNetwork — Expert-Led AI Model Training & Solutions	en	artificial-intelligence	robotsllmsaihumans	emailphone	none
cogitotech.com ↗	67 match 1 shared topics	AI Training Data Company \| Cogito Tech	en	artificial-intelligence WordPress	robots llmsaihumans	emailphone	none
trainingdataproject.com ↗	66 match 1 shared topics	Training Data Project	en	artificial-intelligence	robotsllmsaihumans	emailphone	none
phopromptlabs.com ↗	66 match 1 shared topics	Pho Prompt Labs — Vietnamese AI Training Data	en	artificial-intelligence	robotsllmsaihumans	emailphone	partial · 8
grsai.ai ↗	66 match 1 shared topics	Grsai AI Large Model API Aggregation Platform, Super Stable, Low Price	en	artificial-intelligence	robotsllmsaihumans	emailphone	none
grsai.com ↗	66 match 1 shared topics	Grsai AI Large Model API Aggregation Platform, Super Stable, Low Price	en	artificial-intelligence	robotsllmsaihumans	emailphone	none
chemicancorp.com ↗	66 match 1 shared topics	Chemican Corp. \| We Provide comprehensive AI solutions for EHS.	en	artificial-intelligence	robotsllmsaihumans	emailphone	none
ctrl-flip.com ↗	66 match 1 shared topics	Smart Data Provider	en	artificial-intelligence	robotsllmsaihumans	emailphone	none
trytrusted.com ↗	66 match 1 shared topics	Enterprise AI Systems for Large Enterprises \| Trusted Data	United Kingdom~ en	artificial-intelligence	robots llmsaihumans	emailphone	partial · 4

How the match score works

Each match is a 0–100 similarity score — the higher it is, the more two sites resemble one another. It’s computed automatically from our own crawl data (never from what a site says about itself) by combining several independent signals, so a high score means several of them point the same way:

shared topics how many of the same fine‑grained content topics (IAB sub‑categories) both sites cover — the main signal.
same category whether they sit in the same business / industry category.
content & title how closely their titles and page descriptions line up in wording and meaning.

No single signal decides the result — they’re blended together. Treat the score as a way to rank candidates rather than an absolute percentage; the chips on each result show which signals contributed.