The smart DAM, from library to decision
A DAM your team can search.
Intelligence they can act on.
Store or connect the library, understand what is in it, find assets naturally, and get a reasoned recommendation when the work needs a decision.
Semantic Search
Semantic discovery with precise controls
Describe what you need in plain English, browse the complete library, then narrow with the metadata and filters your team already uses.
- Semantic vector search across your entire library
- Understands visual content, not just filenames
- Keeps literal matches and broader visual similarities distinct
- Works across images, brand marks, and creative variants

Post Intelligence
Bring the idea, get ranked asset recommendations
Bring a post, campaign brief, creative question, rough idea, or desired outcome. Daryl reads intent, tone, and platform context, then ranks the strongest candidates from your library.
- Analyzes post tone, message, and campaign alignment
- Applies the active Brand Context to every recommendation
- Orders plausible options without hiding the alternatives
- Explains why each asset was recommended

Brand Context + Analysis
Give every decision the same brand foundation
Daryl combines the brand direction you provide with patterns visible across the library, then shows how individual assets fit that context.
- Maintains voice, positioning, audience, and visual direction
- Identifies visual patterns, mood ranges, and style clusters
- Proactively flags brand lens gaps and underused assets
- Powers search, analysis, and downstream recommendations

Multi-Brand Support
Manage every brand in one workspace
Run multiple brands from a single account. Each brand keeps its own library, Brand Context, work history, and recommendations.
- Plan-aware multi-brand workspaces
- Separate asset libraries and Brand Context per brand
- Switch between brands in one click
- Team members can be scoped to specific brands

The right asset is already in there.
Start a complete smart library, or connect the library your marketing team already uses.