Laion
Laion · DE-based
LAION is a non-profit organization making machine-learning datasets, tools, and models openly available for research and education.
LAION is a non-profit organization making machine-learning datasets, tools, and models openly available for research and education.
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Laion is a practical fit for buyers evaluating AI Research Tool, Open Source AI Models, and AI Models tools.
- Who is it for?
- Machine learning researchers who need large open image-text training sets, because Re-LAION-5B releases 5.5 billion text-image-link pairs with documented access conditions
- Pricing
- Free
Product information
What this product does
LAION is a non-profit organization making machine-learning datasets, tools, and models openly available for research and education.
Sourced from laion.ai
Works With
Platforms
- Website
AI Models
- Gemini
- Llama
Company & Maker
Who built Laion?
- Company
- LAION e.V. (laion.ai)
- Product
- LAION is a non-profit organization making machine-learning datasets, tools, and models openly available for research and education.
- HQ
- Hamburg, DE
- Founded
- 2021
- Team size
- 11-50
- Live since
- Mar 2023
- Founders
- Christoph Schuhmann - Organizational Lead / Founder
- Jenia Jitsev - Scientific Lead / Founder
- Richard Vencu - Engineering Lead / Founder
- Romain Beaumont - Open-source contributor / Founder
Some facts above are based on publicly available information and may have changed.
The maker hasn't published a public statement we can verify yet.
Problem Solved
What problem does Laion solve?
- Train on 5.5 billion text-image-link pairs in Re-LAION-5B
- Study video-language models with 10 million hours of video in LAION-BVD
- Reproduce results with published weights, training code and evaluation tools
- Compare training datasets using Open-sci-ref baselines and checkpoints
- Check each release's documented access conditions and intended uses
Researched with AI · Data refreshed 2 hours ago · How we score
Full Report Access
Unlock the verified intelligence before you decide
LAION is a German non-profit research network that publishes open datasets, models and tools for machine learning research and public education. AI researchers, model developers and educators use resources such as Re-LAION-5B and OpenCLIP to train and study models.
Who should use
Buyer-fit is derived from approved personas and use-case evidence. Search-volume noise stays labeled separately.
Best-fit workflows
- Training machine learning models with large datasets
- Conducting research in artificial intelligence
- Developing new AI applications
- Educational purposes for learning about AI
- Trains contrastive image-text models with OpenCLIP code and released checkpoints
- Builds image-text training sets from Re-LAION-5B link pairs
Pricing reality
Vendor stated
No price is listed; a non-profit publishes the resources openly and asks for donations of funds, compute or storage
Actual cost
You cover your own compute, storage and bandwidth to download and train on billion-scale datasets
Hidden costs
2 hidden cost warnings — unlock to view
Pricing reality
Last updated Oct 2026
Starting price
Free
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General buyer tips
Common across software subscriptions, not findings about this product.
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LIVE ESTIMATEEstimated spend
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Engagement signals (30d)
Based on 6 linked public signals.
Mindber Activity Score™
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HOW THIS TOOL SCORES
Scores compare this tool with 52 similar tools in AI Research Tool. Use it to judge Innovation and Capability before you shortlist.
Innovation Index™
Is it new, different, and easy to understand?
Medium confidence (60%) - some sub-scores have thin evidence.What this means →
Functionality Score™
Does it cover the jobs buyers expect, and can it keep up?
Low confidence (30%) - some sub-scores have thin evidence.What this means →
Data sources
Traffic & search proof
Public view keeps the ratio story. Paid view unlocks exact monthly visits, full region coverage, and CPC-level keyword intelligence.
Latest traffic snapshot
Monthly visits
24.4K
Avg visit duration
00:00:35
Pages per visit
2.21
Bounce rate
36.33%
Traffic trend
Month-by-month visits from linked public traffic evidence.
Geography
Top regions
Exact monthly traffic is paid-only. Public view keeps percent share only.
Traffic sources
Source mix snapshot
Public view keeps the ratio snapshot. Minor channels stay behind the paid view.
Top keywords
Brand terms stay labeled separately from intent and comparison demand.
| Keyword | Segment | Traffic | CPC |
|---|---|---|---|
| laion 5b | Brand term | 830 | |
| laion | Brand term | 1.11K | |
| laion-5b | Brand term | 630 | |
| laion bvd | Brand term | 360 | |
| laion dataset | Brand term | 240 |
FAQ
Only linked Q and A rows are shown. Empty FAQ data stays hidden.
Social mentions
Only linked public mention evidence is shown here.
Mentions per month
2 in the last 30 days
| Nov | 1 |
|---|---|
| Dec | 0 |
| Jan | 0 |
| Feb | 0 |
| Mar | 0 |
| Apr | 0 |
| May | 0 |
| Jun | 0 |
| Jul | 0 |
| Aug | 2 |
| Sep | 0 |
| Oct | 2 |
Showing top 3 of 19 linked mentions.
Sources and methodology
Only evidence with a linked source record or explicit feature provenance is shown here. Data without provenance stays off the page.
COMMUNITY CREDITS
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