You built the library.
Daryl makes sure it gets used.
Creative teams invest in professional photography, campaign shoots, and brand assets — then watch social teams default to the same 10 images. Daryl closes the loop: intelligent search and Post Intelligence that surfaces the right asset from the full library, every time.
The creative team's DAM problem
The things that happen when your library exists but doesn't get used right.
You shoot great content. Nobody uses it.
Your team invests in professional photography and campaign assets. Six months later, social is posting the same stock images. The library exists — it's just too hard to navigate under deadline. Daryl fixes the navigation problem without requiring any manual taxonomy work.
You've been tagging assets for three years and it still doesn't work.
Manual metadata is a losing battle. Inconsistent tags, incomplete descriptions, seasonal campaigns that never get updated. Daryl auto-analyzes every asset — visual mood, subjects, brand alignment, color palette — and indexes it semantically. No ongoing tag maintenance.
Brand guidelines are enforced in design but ignored in social.
Your brand guidelines live in a PDF and Figma file. When a social media manager picks an image in 2 minutes, they're not consulting them. Daryl's recommendations are filtered through your brand profile — only surfaces assets that match the visual voice you defined.
You don't know if your asset investment is performing.
The library grows. Which assets get used? Which ones never surface? Without visibility into asset utilization, it's impossible to know what photography to prioritize in the next campaign. Daryl's recommendation engine creates a feedback loop between creative and distribution.
What Daryl gives your team
Six capabilities that fix the library utilization problem.
Smart Search
Natural language search across your entire library — find assets by describing what you want, not what the file was named.
Auto-analysis on upload
Every asset is automatically analyzed when it enters the library. Visual mood, composition, dominant colors, subjects, brand fit score. No manual tagging pipeline.
Brand profile filtering
Set your brand visual profile once. Every search result and recommendation is filtered through it — only on-brand assets surface.
Semantic indexing
Assets are indexed by meaning, not metadata. An image of a person laughing at a coffee shop is findable by 'warm community moment' even if nobody tagged it that way.
Post Intelligence
When social teams build posts, they get ranked recommendations from your library based on the specific post content — not random search results.
No IT required
Connect your asset source (upload directly or Google Drive) and Daryl handles the rest. No taxonomy spec, no migration project, no admin training.
Brand consistency that doesn't require policing
Every DAM promises brand consistency. Most deliver it through governance — approval workflows, permission restrictions, "you must use this folder." Daryl delivers it through intelligence — understanding your brand profile and surfacing the assets that fit it, automatically.
Social teams get better results. Creative teams stop fighting about which images got used. Everyone wins without a governance standoff.
"We spent 18 months building an asset library and the social team was still using Getty Images because finding anything in our own library took too long. Daryl is the first tool that actually closed that gap."
Make your library investment pay off.
Every asset you've ever created, findable and usable. Without metadata projects or governance battles.
Get started freeNo credit card · No IT required · Works with your existing assets