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DAM software that goes beyond a traditional DAM
A traditional DAM stores what you made. Air remembers why you made it, keeps what's approved front and center, and helps you scale it everywhere. It's what a DAM becomes when the library actually acts on creative work.
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The world’s leading creative teams run on air
Most teams reach for a DAM once Google Drive, Dropbox, or a project tool stops keeping up with the volume of visual content. Air handles the organizing, searching, and approving you'd expect, then adds the part most tools stop short of: turning approved work into new output across every channel.
What to look for in DAM software in 2026
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A library that does the work
Most DAMs bolted AI onto the upload step to auto-tag files. That helps you find things, but the work still lands back on you. The real shift now is AI that can act on the library itself. Think: editing, resizing, adapting, and answering questions about your assets. With these workflows available, finding the right file becomes the start of the task instead of the whole job.
A system that remembers
A filename tells you what something is. It rarely tells you why it was made or which version was approved. Good DAM software keeps that context attached to the asset, so the reasoning behind your creative doesn't live in one person's memory or a buried Slack thread.
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Pricing you can see and seats you don't have to ration
Enterprise DAMs typically price per seat and quote per customer, which pushes teams to limit who gets access. Look for a model that lets everyone in, like your team, freelancers, and agencies, without turning each new collaborator into another line item.
Where Air goes beyond a traditional DAM
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Run reusable AI workflows across your whole library
Skills let you save a sequence of AI actions and run it across a batch of assets at once. Resizing a launch's worth of images or prepping a set of product shots becomes one instruction instead of a hundred manual edits.
How Air compares to a traditional DAM
Both a traditional DAM platform and Air organize and store creative assets. The difference is whether the library just holds your work, or actively helps you find, protect, and scale it.
A traditional DAM
Air
The DAM fundamentals, handled
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Find any asset by what's in it
Air's Image and Video Intelligence scans and tags images and video on upload, concepts, colors, objects, text, and spoken dialogue, so you can search in plain English instead of remembering filenames. Ask for "person holding a toothbrush" and the right shot surfaces, even across a library of hundreds of thousands of assets.
Keep every version in one clean stack
New iterations stack automatically on top of the original, so the current approved file is always the obvious one. Custom fields also let you mark campaign status, approval state, and usage rights directly on the asset.
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Keep feedback and sign-off on the work itself
Reviewers pin comments to an exact spot on an image or a timestamp in a video, and Kanban views synced to custom fields move assets from in progress to approved inside the library. Approvals stay where the work lives instead of a thread nobody can find later.
Made for the whole team, priced to prove it
Teams like Candid cut asset-hunting from about 20% of a designer's week down to roughly 2%, and most teams are fully productive within their first week on Air.
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Bring the whole team in without per-seat math
Air uses credits-based pricing with unlimited seats on every plan, and Boards let one file live in multiple places without duplicating storage. You can onboard your team, freelancers, and agencies without rationing access or rebuilding folder structures to do it.
Support every step of the way
Enjoy hands-on support from experts in creative operations, file digitization, and streamlined workflows.
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Move your content
Get in-person support moving your content from legacy systems—metadata, rights, and version history preserved.
Take flight
Get ongoing guidance from a dedicated expert to structure and scale your workflow through best practices.
Your DAM should do more than hold your files
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DAM software FAQs
DAM (digital asset management) software gives teams one place to store, organize, search, and share visual content like images, video, logos, design files, and documents, along with the history behind each file. Instead of assets scattered across drives and folders, everything lives in a searchable library with version history, permissions, and approvals attached.
AI DAM software uses artificial intelligence to make a library work with less manual effort. At a minimum that means auto-tagging assets on upload and letting you search in plain English. The newer generation, Air included, goes further: AI that acts on the library to edit, resize, adapt, and answer questions about your assets, rather than just labeling them.
Cloud storage like Google Drive or Dropbox is built to hold and sync files; DAM software is built around the assets themselves. A DAM adds visual, AI-powered search, version control, metadata and custom fields, review and approval workflows, and controlled sharing, capabilities general storage tools don't offer. Most teams make the switch when finding, approving, and reusing visual content in storage becomes the daily bottleneck.
It varies widely, largely because most enterprise DAMs don't publish prices and route you to a custom quote. Air publishes its pricing instead: a free plan, Starter at $25/month, Business at $900/month billed annually, and custom Enterprise pricing, with unlimited seats on every plan.
Air does everything a DAM is expected to do, like organize, search, version, approve, and share—but it's built as an agent for creative tasks rather than a storage-first DAM. The difference shows up after approval: Air keeps the context behind each asset and helps teams adapt and scale approved work across channels, instead of treating the finished file as the end of the line.
Traditional enterprise DAMs often take weeks or months to roll out. Air is designed for fast setup, with native imports that migrate archives from Google Drive, Dropbox, Box, and SharePoint, plus hands-on Enterprise migrations that preserve metadata. Most teams are productive within their first week.