Raster
Raster is an agent-native Digital Asset Management (DAM) platform that lets marketing, design, and developer teams store, organize, search, and deliver visual assets through web, API, and AI agent interfaces, with named customers including Vercel, Birchbox, Hy-Vee, and Harvard.
- Company typePrivate
- Founded2023
- HeadquartersAlpharetta, United States
- Headcount1–10
- GTM typeB2B
- OfferingSoftware
What Raster does
Raster Inc. is a privately held, Delaware-incorporated software company that operates an agent-native Digital Asset Management (DAM) platform under the raster.app domain, with its primary business address in Alpharetta, Georgia. The platform is designed to store, organize, search, transform, and deliver visual assets for teams that produce and ship large volumes of images, and it explicitly targets both human users and AI agents as first-class consumers of the asset library.
The product is built on an API-first architecture offering three interfaces — a GraphQL API, a REST API, and a remote Model Context Protocol (MCP) server — all currently in Alpha and served from api.raster.app and mcp.raster.app. AI-assisted computer vision automatically tags uploaded images by subject, scene, and object; a built-in Google reverse image search helps locate higher-resolution originals; and non-destructive image views generate crops, resizes, and renditions as separate CDN URLs that can be edited post-ship. The MCP server exposes the same capabilities to Claude, ChatGPT, Cursor, and VS Code through scoped API keys, enabling AI agents to browse, upload, organize, and delete assets programmatically. Image delivery runs over a global CDN at cdn.raster.app, and native marketplace integrations are published for Contentful, DatoCMS, Figma, and Sanity.
Raster generates revenue through a three-tier subscription model: a free Personal tier (1 GB storage, 3 libraries) for non-commercial use, a Team tier at $9 per user per month with unlimited storage and 50 libraries, and a custom-priced Enterprise tier with organization-wide presets, a 100% uptime SLA, and priority support via a dedicated Slack channel. Distribution is product-led and self-serve through raster.app, with a complementary enterprise sales motion for higher-tier contracts. Public customer logos include Vercel, MacStadium, Birchbox, Hy-Vee, Harvard University, GoHealth Urgent Care, and Contextual AI, and the platform has maintained 100% uptime across App, Image CDN, API, and MCP services through 2025 and into 2026. The company is founder-led and bootstrapped, with a single disclosed $400,000 funding round in 2023 and no subsequent venture or private equity investment documented.
Raster firmographics
Firmographics- Name
- Raster
- Legal name
- Raster Inc.
- Website
- https://raster.app
- Company type
- Private
- Founded year
- 2023
- Operating status
- Operating
- Headcount range
- 1–10 employees
- Short description
- Raster is an agent-native Digital Asset Management (DAM) platform that lets marketing, design, and developer teams store, organize, search, and deliver visual assets through web, API, and AI agent interfaces, with named customers including Vercel, Birchbox, Hy-Vee, and Harvard.
- Ownership category
- akta.pro rank
Raster industry classification
Industry- Product category
- Digital Asset Management
- NAICS
- Computing Infrastructure Providers, Data Processing, Web Hosting, and Related Services (518), Computing Infrastructure Providers, Data Processing, Web Hosting, and Related Services (5182)
- akta.pro primary industry
- Digital Asset Management (DAM) (HDAEAGAE)
Keywords
Where Raster is headquartered
LocationHeadquarters
- HQ city
- Alpharetta
- HQ country
- United States
- HQ region
- North America
Offices2 records
Markets served
Raster business model
Business model- GTM type
- B2B
- Offering type
- Software
- Cost components
- Technology or R&D, Infrastructure, Personnel, Marketing or Sales, Operations
Revenue model
- Subscription - Team Tier: Monthly per-user subscription at $9/user for Team tier. Includes unlimited storage, 50 libraries, live collaboration, reverse image search, and advanced EXIF metadata.
- Subscription - Enterprise Tier: Custom enterprise pricing with organization-wide presets, SLA with 100% uptime guarantee, and priority 24/7 support with dedicated Slack channel.
- Free Tier: Free personal tier for non-commercial use with 1GB storage and 3 libraries. AI tagging, Agent API, and basic EXIF metadata included. Serves as top-of-funnel for conversion.
Pricing tiers
| Model | Billing | Price |
|---|---|---|
| Freemium | Monthly | Personal - Free forever for non-commercial use |
| Subscription | Monthly | Team - $9 per user per month |
| Subscription | Multi-year contract | Enterprise - Custom pricing |
Go-to-market motion3 records
Distribution channels4 records
Marketing channels6 records
Raster product offering
Product offeringCore offering
Raster is an agent-native Digital Asset Management (DAM) platform that lets teams store, organize, search, transform, and deliver visual assets. It is offered as a web application, accessed through GraphQL and REST APIs, and extended to AI agents via a Model Context Protocol (MCP) server, with images served through a built-in global CDN at cdn.raster.app.
Product overview
Raster is a unified agent-native Digital Asset Management (DAM) platform designed for teams that ship visual assets. The core Raster product serves as the central asset layer for image libraries, AI-assisted organization, visual search, and collaboration. The platform comprises the core DAM application along with complementary API products: the GraphQL API and REST API (both Alpha stage) for programmatic access, the MCP Server for AI agent integration with clients like Claude and ChatGPT, CLI tools for developers, and Agent Skills for installing Raster capabilities into coding agents. Images are delivered via built-in global CDN from cdn.raster.app. The platform is priced in tiers: Personal (free), Team ($9/user/month), and Enterprise (custom pricing).
Differentiator
Problem solved
Functional benefit
Products and services
- Raster (core DAM platform) The core Digital Asset Management (DAM) web application for storing, organizing, searching, transforming, connecting, and delivering visual assets. Designed for teams that ship, with support for both human and AI agent workflows, AI-assisted tagging, live collaboration, library isolation, and global CDN delivery.
- GraphQL API Alpha-stage GraphQL API for querying assets, libraries, and tags, and uploading or deleting assets from permitted libraries. Shares API keys with the REST API and supports per-request versioning.
- REST API Alpha-stage REST API providing resource-oriented HTTP endpoints for asset retrieval, delivery, metadata mutations, and integration building. Mirrors the GraphQL surface over the same data and API keys.
- MCP Server Remote Model Context Protocol server that connects Claude, ChatGPT, Cursor, VS Code, and other MCP-capable AI assistants to Raster libraries. Provides tools for browsing, uploading, organizing, and deleting assets for AI agents.
- CLI Command-line interface for interacting with Raster APIs and managing assets programmatically.
- Agent Skills Pre-packaged prompts and configurations for installing Raster capabilities into AI coding agents such as Claude, Cursor, and Copilot via a skills-CLI command.
- Image CDN Global content delivery network for delivering images from cdn.raster.app, cached close to audiences worldwide, shipping optimized image URLs directly from Raster.
Quantifiable outcome
- AI tagging automatically categorizes images by subjects, scenes, and objects upon upload
- +1 more outcomes
Companies that use Raster
Customer profileNamed customers15 records
Segments5 records
Ideal customer profiles3 records
Raster technology and API
TechnologyTechnology focussed Yes
API detail
- Has API
- Yes
- API docs
- API detail
Core technology
AI maturity
App detail
Integration5 records
AI capability6 records
Feature8 records
Raster partnerships and signals
Strategic signalPartnerships
Nine partnerships are on record, tiered core.
- ContentfulcoreContentful integration allows users to add Raster assets to content entries and keep media connected to their library. Available on Contentful Marketplace.
- DatoCMScoreDatoCMS integration enables selecting Raster images from editorial and site content. Available on DatoCMS Marketplace.
- FigmacoreFigma integration allows browsing and placing Raster assets directly on the Figma canvas. Available as Figma Community plugin.
- SanitycoreSanity integration connects Raster to composable content systems. Available as Sanity plugin.
- Claude (Anthropic)coreMCP server integration enables Claude AI assistant to browse, upload, organize, and delete assets from Raster libraries.
- ChatGPT (OpenAI)coreMCP server integration enables ChatGPT to access Raster libraries via Model Context Protocol.
- CursorcoreMCP server integration enables Cursor AI code editor to work with Raster asset libraries.
- VS CodecoreMCP server integration enables VS Code with AI extensions to access Raster libraries.
- Google FirebasecoreFirebase Authentication handles 'Sign in with Google' OAuth implementation. User data stored in Firestore with encryption in transit and at rest.
Scale indicators3 records
Recent moves6 records
Expansion highlights6 records
Raster competitors and assessment
Company assessmentDirect peers
- imgix: imgix provides image processing, optimization, and CDN delivery via an API, with non-destructive transformations. It overlaps directly with Raster's CDN, transformation, and API-first developer positioning, though it lacks the full DAM and agent-native layers.
- Canto: Canto is a Digital Asset Management vendor serving marketing and brand teams with library organization, sharing, and integrations. It competes for the same DAM buyer and many of the same marketing use cases as Raster.
- Frontify: Frontify combines brand asset management with brand guidelines and creative workflows for marketing teams. It targets the same horizontal DAM-plus-collaboration segment Raster serves, with deeper brand governance features.
- Cloudinary: Cloudinary is a leading image and video management platform with an API-first architecture, CDN delivery, AI-powered tagging and transformations, and a freemium-to-enterprise model. It is the closest direct competitor to Raster in the headless DAM category for developers and marketing teams.
Broad incumbents
- Brandfolder (by Smartsheet): Brandfolder is a cloud-based DAM focused on brand asset management, analytics, and distribution for mid-market and enterprise. It overlaps with Raster's core DAM and marketing-team use cases at a different scale and price point.
- Bynder: Bynder is an enterprise Digital Asset Management incumbent serving large marketing and brand teams. It targets the same DAM use case as Raster but focuses on the high end of the enterprise segment with a much broader product surface.
- Adobe Experience Manager Assets: Adobe Experience Manager Assets is the legacy enterprise DAM standard, deeply embedded in large marketing and content workflows. Raster explicitly positions against the friction and aging architecture of AEM and similar legacy systems.
- Cloudflare Images: Cloudflare Images is a CDN-backed image storage, transformation, and delivery product from a major infrastructure platform. It competes with Raster on image hosting, transformation, and global delivery, and benefits from Cloudflare's enterprise distribution.
- Widen (now part of Acquia): Widen is an established DAM platform focused on marketing asset management, metadata, and distribution. It competes with Raster for mid-market and enterprise marketing teams with a longer-tenured product.
Emerging players
- Air.inc: Air.inc is an emerging lightweight DAM and visual asset workspace for creative teams, with a modern UX and collaboration focus. It targets a similar horizontal creative-team segment as Raster and is often cited alongside it.
Market position
Strengths5 records
Weaknesses5 records
Competitive moat4 records
Key risks6 records
Key highlights6 records
Customer concentration
Raster social profiles
Digital presenceRaster financial estimates
Financial estimateRevenue estimate
Valuation estimate
Raster leadership team
Management profileNumber of profiles
Raster funding detail
Funding detailFunding overview
Funding rounds1 record
Investors
Funding detail is available on the Subscription and Enterprise plan.Contact sales →
Raster M&A and investment
M&A and investmentM&A
Investments
M&A and investment is available on the Subscription and Enterprise plan.Contact sales →
Frequently asked questions about Raster
What does Raster do?
Raster is an agent-native Digital Asset Management (DAM) platform that lets teams store, organize, search, transform, and deliver visual assets. It is offered as a web application, accessed through GraphQL and REST APIs, and extended to AI agents via a Model Context Protocol (MCP) server, with images served through a built-in global CDN at cdn.raster.app.
Is Raster a public or private company?
Raster is a private company. It is classified as founder individual operated bootstrapped and is currently operating.
When was Raster founded?
Raster was founded in 2023. It employs 1 to 10 people.
Where is Raster based?
Raster is headquartered in Alpharetta, United States, in the North America region.
How does Raster make money?
Three revenue lines are on record. Subscription - Team Tier is the primary driver. The others are subscription - Enterprise Tier and free Tier.
Who are Raster's main competitors?
Direct peers on record are imgix, Canto, Frontify and Cloudinary. Broad incumbents are Brandfolder (by Smartsheet), Bynder, Adobe Experience Manager Assets, Cloudflare Images and Widen (now part of Acquia). Air.inc is listed as an emerging player.
Does Raster have an API?
Yes. Raster offers a comprehensive API infrastructure with three interfaces: GraphQL API (Alpha, endpoint: https://api.raster.app/), REST API (Alpha, endpoint: https://api.raster.app/organizations/:organizationId/...), and MCP Server (endpoint: https://mcp.raster.app/). Authentication uses API keys scoped per organization and library with Bearer token headers. The REST API requires the Api-Version header (current: 2026-05-20) and is versioned per-request. Both REST and GraphQL APIs are in Alpha status. The MCP server connects Claude, ChatGPT, Cursor, and other AI assistants to Raster libraries. The API supports querying assets, uploading images, reading tags, and building integrations. Developer documentation is at docs.raster.app/api.
What industry is Raster in?
Raster's product category is Digital Asset Management. Its primary akta.pro industry code is HDAEAGAE, Digital Asset Management (DAM). Its NAICS code is 518.