Raster DAM

Description

Raster is a modern digital asset management (DAM) platform built to support both human users and AI agents, catering to teams that frequently ship visual content. Traditional DAM systems were designed for a slower era, but Raster addresses the evolving needs of teams that now generate, edit, remix, and ship more images than ever before. The platform is engineered for speed, aiming to be the fastest DAM available, while also incorporating smart features to boost team performance.

Raster's user experience is crafted for teams focused on shipping work, offering a beautiful design that inspires productivity. Key features include live collaboration, a command palette for quick actions, and a growing API for seamless integration. A dedicated Mac App is also available. The platform is built with AI in mind, featuring capabilities like reverse image search and AI-powered editing tools. A standout feature is the ability to deploy unique Raster image URLs, allowing for post-ship image edits even after they have been deployed.

Raster is positioned as a faster alternative to legacy DAMs, keeping asset management close to the daily workflow of teams that create, edit, retrieve, and deliver images. It tackles the challenges of manual tagging by keeping libraries structured with visual context and metadata usable by both people and agents. Unlike enterprise portals that can distance asset management from the shipping process, Raster integrates directly into the workflow. It's designed for automation and readiness for agents, providing a light interface and reliable paths for software to access assets.

Integrations are a core part of Raster's offering, connecting the image library to the places where assets become product surfaces, campaigns, storefronts, and content. Supported integrations include Contentful for structured content workflows, DatoCMS for editorial and site content, Figma for design production, and Sanity for composable content systems. The platform also offers an API for building asset retrieval and delivery into custom tools, and a CDN for shipping optimized image URLs directly from Raster. Raster aims to be the central hub for storing, organizing, searching, transforming, connecting, and shipping visual assets for teams that move fast.

Raster DAM's Core Features

• Agent-native DAM for modern teams

• High-speed asset management

• AI-powered features

• Live collaboration

• Command palette for quick actions

• Reverse image search

• AI-assisted image editing

• Deployable image URLs with post-ship editing

• Structured libraries with visual context and metadata

• API for custom integrations

• CDN for optimized image delivery

• Integrations with CMS and design tools

How to use Raster DAM?

1. 1

   Connect: Integrate Raster with your existing design and content tools.

2. 2

   Upload: Store your visual assets in the agent-native DAM.

3. 3

   Organize: Utilize smart features for structured organization and metadata.

4. 4

   Search: Quickly find assets using reverse image search and AI.

5. 5

   Edit: Leverage AI tools for image transformation and post-ship edits.

6. 6

   Ship: Deploy optimized image URLs directly from Raster to your platforms.

Raster DAM's Use Cases

• Marketing Campaigns
• E-commerce Product Photos
• Client Portals
• AI Asset Management
• Design Handoffs
• CMS Image Delivery
• Event Photo Collection
• Brand Asset Distribution

FAQ from Raster DAM

• What is Raster and who is it for?

  Raster is an agent-native digital asset management (DAM) platform designed for teams that ship visual content. It helps store, organize, search, and deliver assets efficiently, supporting both human users and AI agents.

• How does Raster differ from legacy DAM systems?

  Raster is built for high-volume visual production and API-connected teams, offering faster performance and AI capabilities. It keeps asset management close to the shipping workflow, unlike traditional systems that can be more distant.

• Can AI agents use Raster?

  Yes, Raster is designed to be agent-native, meaning it supports AI agents in accessing and managing visual assets alongside human users.

• What kind of AI features does Raster offer?

  Raster includes AI-powered features such as reverse image search and AI-assisted editing, designed to speed up asset workflows.

• Can I edit images after they have been shipped using Raster?

  Yes, Raster allows you to deploy unique image URLs that can be edited even after they have been shipped, offering flexibility in asset management.

• What integrations does Raster support?

  Raster integrates with popular tools like Contentful, DatoCMS, Figma, and Sanity, and offers an API and CDN for further connectivity.

• How does Raster help with asset organization?

  Raster keeps libraries structured with visual context and metadata that both people and agents can use, moving beyond manual tagging.

• Is Raster suitable for e-commerce teams?

  Yes, Raster can be used to keep e-commerce variants ready to publish and ship CMS images from a maintained library.

• Can Raster store AI-generated images?

  Yes, Raster is ideal for storing AI generations alongside final selects, providing a unified asset library.

• What is the benefit of Raster's API and CDN?

  The API allows you to build asset retrieval and delivery into your own tools, while the CDN enables shipping optimized image URLs directly from Raster.