
Search the Way You Think.
Finding assets in a DAM shouldn't require a training manual. But for most teams, it does.
The Problem:
Traditional search requires users to know the right keywords, understand your taxonomy, and apply the exact terminology your team used when tagging assets. When someone new joins the team, they struggle to find things. When tagging is inconsistent across departments, searches return incomplete results. When someone knows what they're looking for but doesn't know what it's called, they're stuck.
The result: people give up, re-create assets that already exist, or spend 30 minutes hunting for something that should take 30 seconds.
The Solution:
NetX Natural Language Search removes the barrier between your team and your assets. Instead of matching exact keywords, the system understands what you mean -- and returns the right results based on context, not just terminology.
Type a sentence. Describe what you're looking for. Ask a question. NetX understands and delivers.
How it Works:
Conversational Query Input: Users type a natural language description into the search bar the same way they'd describe what they need to a colleague. No special syntax, no required fields.
Contextual Understanding: NetX interprets the meaning behind the query -- not just the individual words. It understands context, relationships between concepts, and the intent behind the search.
Relevant Results: Assets surface based on relevance and meaning, not just tag matches. Results improve over time as the system learns from your library and your team's search behavior.
Works Alongside Traditional Search: Natural language search doesn't replace your existing metadata and keyword search -- it works alongside it. Power users can still search the way they always have. Everyone else can search the way they think.
Built for Teams Who Can't Afford to Miss a Shot:
New Employees: Get up and running immediately no taxonomy training required.
Marketing Teams: Find assets by describing campaigns, moods, or concepts.
Creative Teams: Search conceptually -- describe the feeling, not the file name.
Executives: Self-serve access to the library without needing staff assistance.
Sales Teams: Pull relevant visuals for presentations without DAM expertise.
No metadata expertise required. No taxonomy training. Just results.
See it in action. Schedule a demo today.
Conversational Query Input
Users type a natural language description into the search bar the same way they'd describe what they need to a colleague. No special syntax, no required fields.
Relevant Results
Assets surface based on relevance and meaning, not just tag matches. Results improve over time as the system learns from your library and your team's search behavior.