About · DAM LLM Research
Independent research on AI × digital asset management.
We're a small research outfit publishing open, vendor-neutral analysis on where AI is changing how creative teams find, tag, generate, and measure their assets.
The AI × DAM space in 2026 is loud, vendor-led, and short on real numbers. Most of what ranks today is opinion content from people who haven't installed the tools they're writing about. We started DAM LLM to fill that gap — with open analysis grounded in real field data, real install timings, and real corpora of creative assets.
Our reports are vendor-neutral. We publish scorecards even when our data partner scores low. We disclose every conflict, sample size, and methodology choice. If a number isn't trustworthy, we don't publish it.
The team
We're three researchers working out of Tel Aviv and remote, with combined careers across performance marketing platforms, AI infrastructure, and customer-facing creative operations.
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Itai Raveh
Lead Researcher · Founder of Uplifted
Itai founded Uplifted because performance creative teams were stuck reporting in spreadsheets while their creative lived in Drive. He leads the methodology and writes the field guides on DAM LLM.
LinkedIn → -
David Tsirilson
Research Engineer · Head of Engineering, Uplifted
David runs the install benchmarks and architecture analysis. Previously Head of Engineering at Yotpo, he's spent the last decade shipping infra that powers thousands of marketing teams.
LinkedIn → -
Fani Sherf
Field Researcher · Head of CS & Marketing, Uplifted
Fani leads the qualitative side: interviews with creative teams, theming chat transcripts, and turning operator pain into research questions. Previously at Jeeng.
LinkedIn →
The data partnership (full disclosure)
Most of the proprietary data on this site comes from Uplifted, a performance creative platform with over 1 million creative assets joined to ad performance across hundreds of customer teams. Uplifted's anonymized corpus is what makes reports like the Performance Creative Tag Atlas and the AI Tagging Accuracy Benchmark possible.
This relationship is real and we won't hide it:
- Itai Raveh is the founder of Uplifted and the lead researcher on this site.
- Uplifted provides the data for several of our reports; we aggregate and anonymize it according to the methodology.
- Editorial independence is real. We score Uplifted alongside its competitors on every benchmark, and we've published findings where Uplifted ranked mid-pack. We will continue to.
- This page is the source of truth. Every report links back here so readers always see the conflict before they read the data.
If you're skeptical, that's appropriate. Read the methodology, check the sample sizes, look at the vendor scorecards. We modeled this after how Wirecutter (owned by The New York Times) and Consumer Reports disclose their affiliations: clearly, at the top, every time.
Why this matters
By the end of 2026, every digital asset management vendor will claim AI. Buyers will need somewhere to figure out what the claims actually mean — how fast the integrations install, how accurate the tagging really is, what the workflows look like in production. That somewhere is what we're trying to build.
Get the research
We publish a new report quarterly. The next one drops Q3 2026.
Contact
For research questions, data partnership inquiries, or to point out something we got wrong: reach the team via the LinkedIn profiles above. Corrections and counter-evidence are welcome and we revise reports when warranted.