project:RS2  /  DAM built for AI-driven teams
project:RS2

Every DAM vendor is bolting AI onto 15-year-old architectures. We started from scratch. project:RS2 is the DAM that turns your expertise into a superpower — you set the strategy, agents do the heavy lifting at scale.

API-first

AI-native

— agent-ready

No Vendor Lock-in Built for Scale API First Asset Intelligence Format Transformation Instant Faceted Search Bring Your Own UI Slack Workflow Integration Approve Assets in Slack Cloud-Native Storage Your Metadata, Your Labels No Vendor Lock-in Built for Scale API First Asset Intelligence Format Transformation Instant Faceted Search Bring Your Own UI Slack Workflow Integration Approve Assets in Slack Cloud-Native Storage Your Metadata, Your Labels
The Interface
All Assets

Interface preview — not a screenshot

Everything in project:RS2 is exposed through a clean REST API. Every upload, search, transform, tag, and permission check — all API. Our interface is just one client sitting on top of it.

If you don't like our UI — or your brand has specific requirements, or you want it embedded inside your own platform — it doesn't matter. Hand the API to any web designer or front-end developer and they can build you exactly the interface you want. From scratch. Your colors, your layout, your language.

The back end handles the hard parts: asset storage, AI tagging, format transformation, search indexing, permissions. The front end is just HTML, CSS, and a handful of API calls.

  • Assets — upload, retrieve, update, delete, download original or transformed
  • Search — full-text, faceted, typo-tolerant, filtered by any metadata field
  • Transforms — request any preset, poll status, retrieve output
  • AI metadata — trigger re-tagging, retrieve tags, descriptions, colors, mood
  • Collections — create, manage membership, share
  • Users & permissions — group management, access control, invite flow
  • Webhooks — fire on upload complete, transform done, tag ready

We've spent three decades in digital asset management. Enterprise implementations for companies you've heard of. Open source platforms. Custom integrations. We know what works at scale — and what breaks.

What breaks is expecting one person to manually tag, convert, and organize thousands of assets. The answer isn't replacing that person — it's giving them agents. The metadata systems, the permission models, the search — all designed for someone clicking through a browser.

project:RS2 is our answer to a question we kept asking: what would we build if we started from scratch for the AI era?

Deploy in minutes. Self-hosted or fully managed — your choice.

  • Docker compose up — one command, full platform running
  • Configure your metadata — define your fields, types, and taxonomies
  • Set up permissions — granular role-based access for humans and agents
  • Connect your tools — REST API, webhooks, Slack — integrate anything

The DAM that wins isn't the one with
the best tagging AI. It's the one that makes you indispensable.

  • Instant search — typo-tolerant, faceted, sub-50ms via Typesense
  • AI tags on upload — every asset described, colored, and mood-tagged automatically
  • Format transformation — powered by ImageMagick and ffmpeg. 200+ image formats, 190+ video output formats, Ghostscript for PDF. If the tool supports it, RS2 can transform it. Define named presets or pass raw parameters through the API.
  • Cloud-native storage — R2, S3, MinIO, or local. Swap without touching your data.
  • Granular permissions — download, transform, export, share — controlled per group per asset type
  • Webhooks — fire on upload, tag complete, transform done. Connect anything.
  • Full REST API — every action available programmatically, documented and versioned
  • Granular permissions — agents get exactly the scopes they need, nothing more
  • Webhook events — upload complete, transform done, AI tags ready — trigger any workflow
  • Sub-50ms responses — agents don't wait for page loads
  • Structured metadata — machine-readable from day one, not scraped from HTML

Your team lives in Slack. The DAM should too. project:RS2 brings the full asset workflow into Slack — search, share, approve, transform, and get notified without ever opening a browser tab.

Not a watered-down notification bot. A real workflow tool — slash commands, interactive buttons, approval flows, channel routing. DAM work happens where the conversation is.

sarah.chen 10:42 AM
/dam search golden hour CMYK print
R2
project:RS2 10:42 AM
3 results · CMYK · Print ready
golden_hour_beach_CMYK.tif
TIFF · 34.2 MB · 5472×3648 · CMYK
↓ Download
⇄ Transform
✓ Approve
↗ Share
  • /dam search [query] — full faceted search, results with thumbnails and action buttons, right in the channel
  • /dam upload — drop a file in Slack, it lands in the DAM, AI-tagged and indexed
  • Approval flows — post an asset for review, team members approve or reject with one click, status updates automatically
  • Channel notifications — new uploads, completed transforms, and AI tagging routed to the right channel automatically
  • Transform from Slack — convert CMYK to sRGB, generate a web JPEG from a TIFF, strip metadata — all without leaving the conversation
  • Share to channel — push any asset to any channel with a preview card and download link
  • Slack Workflow Builder — trigger DAM actions from any Slack workflow step
project:RS2 — early access now open