Statistic · May 2026
70×
The price gap between the cheapest and priciest AI for one image.
Cost per 1 MP image, May 2026
7 providers · computed from published per-token rates
Method: published per-token pricing × documented image-token formulas (OpenAI tile formula, Anthropic megapixel formula, Google tile formula). Input cost only. Full methodology →
Our analysis draws on
Browse by topic
All topics →-
Topic 01
MCP & Integration
The Model Context Protocol, install patterns, DAM connectors, custom MCP servers.
2 reports · 4 statistics · 3 guides · 1 note →
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Topic 02
AI Tagging
Image-tagging APIs scored on a single rubric. Classical CV vs frontier multimodal LLMs. Accuracy benchmarks in prep.
1 report · 11 statistics · 4 cited from external research →
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Topic 03
Performance Creative
Clip-level analytics, hook rate, ROAS by creative, cross-platform benchmarks.
1 guide · Reports 04 & 06 in prep →
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Topic 04
Vendors
Honest reviews and benchmarks of DAM platforms. Updated monthly via the Capability Index.
1 report · 6 statistics · 2 guides · 1 note →
The DAM Capability Index — May 2026
See the full index →10 vendors × 6 capability dimensions · re-verified monthly · vendor corrections invited within 7 days · v1.0
Vendor capabilities, top 5 by score · preview
- REST API docs
- 9/10
- Native MCP
- 1/10
- Webhooks
- 8/10
- GraphQL
- 1/10
- Changelog
- 4/10
- AI docs
- 6/10
| Vendor | REST | MCP | Webhooks | GraphQL | Changelog | AI docs | Score |
|---|---|---|---|---|---|---|---|
| Uplifteduplifted.ai | Yes | Yes | Yes | No | Yes | Yes | 5/6 |
| Bynderbynder.com | Yes | No | Yes | Yes | Yes | Yes | 5/6 |
| Acquia DAMacquia.com | Yes | No | Yes | No | Yes | Yes | 4/6 |
| Brandfolderbrandfolder.com | Yes | No | Yes | No | Yes | Partial | 3.5/6 |
| Aprimoaprimo.com | Yes | No | Yes | No | Partial | Yes | 3.5/6 |
Showing top 5 of 10 by aggregate score. View all 10 vendors → · Scoring: Yes=1, Partial=0.5, No=0. Cells re-verified monthly. Methodology →
How this is researched
Every cell records whether the vendor's public documentation demonstrates a capability — not whether the vendor claims it on marketing pages. Same rubric for every vendor, every month. We invite vendor corrections; they fold into v1.x within 7 days.
Full methodology →Latest releases
All reports →Reports, statistics, editorials, and field guides — newest first.
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Statistic
450× spread — how many images frontier multimodal LLMs accept per request
3,600 on Google Gemini 1.5. 8 on Mistral Pixtral. n=6 providers. Cited from vendor docs.
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Statistic
70× cost spread — cheapest vs priciest AI for one image
$0.0002 on Gemini Flash. $0.014 on Claude Opus. Same image. n=7 products. Cited from vendor docs.
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Statistic
MMMU-Pro leaderboard, May 2026 — 94% top score (GPT-5.4 Pro)
Claude Mythos Preview 92.7% · Gemini 3.1 Pro 83.9%. 27 models scored. Source: BenchLM.ai.
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Report 03
The AI Tagging Provider Index, May 2026
10 image-tagging APIs × 6 capability dimensions. Same rubric for hyperscalers, classical CV, and frontier multimodal LLMs.
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Statistic
Multimodal AIs lose 17 to 27 points when text shortcuts are removed
Claude 3.5 Sonnet drops from 68.3% to 48.0% on MMMU-Pro vision-only. Open-source models drop up to 42 points.
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Report 02
The DAM Capability Index, May 2026
10 DAM vendors × 6 dimensions, scored from public docs. REST, MCP, webhooks, GraphQL, changelogs, AI docs.
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Statistic
Image recognition API market — $3.12B (2025) to $7.49B (2032), 13.6% CAGR
Three analysts converge on 13-15% CAGR. Sources: LP Information, Fortune Business Insights, Grand View Research.
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Statistic
DAM vendors shipping native MCP support — 1 of 6
Field-tested across 6 leading platforms. The other five require operator-built integration glue.
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Report 01
How long it actually takes to wire a DAM to Claude
4 architecture patterns timed end-to-end. Median ~1 hour. MCP-native paths shipped under 2 minutes.
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Note
Why MCP changed our DAM integration roadmap
The Model Context Protocol is the most important DAM development of 2026 — and the one that breaks the most teams' existing roadmaps.
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Note
The "AI DAM" label is meaningless in 2026
Every DAM vendor claims AI. The label is doing real damage to buyer decisions. A sharper question to ask.
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Guide
Connect Your DAM to an LLM — Without the Glue Code
The full field guide. Four architecture patterns, six vendors, every install timed and screenshot.
Questions
Questions readers ask
Is DAM LLM owned by Uplifted?
No — DAM LLM is an independent research outfit. Uplifted is our principal data partner, which means Uplifted supplies the anonymized creative corpus that powers several of our benchmark reports. Itai Raveh is the founder of Uplifted and the lead researcher here; that conflict is disclosed on every report and on the About page. We benchmark Uplifted against its competitors using the same methodology, and we publish findings where Uplifted scores low. See the full methodology.
How often is the data on this site updated?
Statistics on the homepage are updated weekly. Field-tested data (like the vendor-MCP chart) is re-verified every 30 days. Reports carry a last reviewed date in the header; we re-verify the data at least every six months and re-publish a new version if findings have changed. The quarterly Cross-Platform Performance Index publishes on a fixed cadence (Q1/Q2/Q3/Q4).
Can I cite DAM LLM research in my own work?
Yes, please do. Every report has a citation block at the bottom in standard academic form. The general form is: [Author Name]. "[Report Title]." DAM LLM Research, [Month Year]. [URL]. If you cite us, drop the team a line on LinkedIn — we like to see where the data ends up.
I have data that contradicts your findings. What do I do?
Send it. We publish corrections, and we'd rather be right than be first. Counter-evidence and re-test requests are handled transparently — we re-run the methodology, publish the new number with the original struck through, and note the change in the report's change log. Contact the team via the LinkedIn profiles on the About page.
How do I get notified when new reports drop?
We don't have a newsletter form on the site yet. The simplest way for now: follow Itai Raveh on LinkedIn — every new report is posted there. A proper newsletter is on the roadmap for Q3 2026.