Vendor profile

Daminion Digital Asset Management | AI DAM Platform

Daminion • Daminion Digital Asset Management • On-prem / team DAM

Digital Asset Management On-prem (server) + local clients SMB to Mid-market December 31, 2025

AI-powered digital asset management for SMB to Mid-market teams

Headquarters

Hallandale Beach, Florida, USA

Founded

June 26, 1905

Company size

Ownership

Private

Executive Summary AI & Automation Integrations TdR Verdict Vendor Website

Executive Summary

Daminion Digital Asset Management is positioned as on-prem / team dam for smb to mid-market organizations. It supports team cataloging; photo archives; local/on-prem dam; metadata management with cataloging; metadata; search; tagging; versioning; permissions. AI focus: Daminion invests in AI-assisted tagging to automate metadata and reduce manual cataloging effort for large photo/video libraries. Common integrations include Desktop clients + server catalog. Best fit: Teams needing on-prem DAM with strong cataloging and AI tagging to accelerate metadata work.

Overview

Company profile

Vendor: Daminion

Website: Visit

Headquarters: Hallandale Beach, Florida, USA

Founded: June 26, 1905

Employees:

Ownership: Private

Industries: Creative teams, archives, museums, photo/video-heavy orgs

Product snapshot

Product: Daminion Digital Asset Management

Category: On-prem / team DAM

Deployment: On-prem (server) + local clients

Target customer size: SMB to Mid-market

Supported use cases: Team cataloging; photo archives; local/on-prem DAM; metadata management

In-depth product summary

Daminion Digital Asset Management is a on-prem (server) + local clients on-prem / team dam for smb to mid-market teams. Core capabilities: Cataloging; metadata; search; tagging; versioning; permissions. AI highlights: Daminion invests in AI-assisted tagging to automate metadata and reduce manual cataloging effort for large photo/video libraries.

AI & Automation

AI features overview

Daminion invests in AI-assisted tagging to automate metadata and reduce manual cataloging effort for large photo/video libraries.

AI model source: Daminion AI tagging engine

AI notes: AI tagging release: https://daminion.net/articles/news/daminion-9-5-release-dam-expert-rates-new-ai-tagging-engine-9-9-10/

AI capability matrix

Capability Support
AI tagging Yes
AI OCR Optional
AI transcription Optional
Visual similarity search Optional
Smart cropping No
Rights detection No

Workflow automation

Workflow builder: Basic

Automation features: Cataloging, tagging, permissions, versioning

Workflow use cases supported: Archive cataloging; team sharing; metadata normalization

Admin complexity score: Not a full enterprise workflow platform

Workflow limitations: Coming Soon

AI & automation scores

AI maturity

Coming Soon

Workflow automation

Coming Soon

Implementation difficulty

6

TCO

5

Capabilities & Governance

Search, metadata & file support

Supported file types: Images, video, documents

Metadata flexibility: Strong metadata focus for cataloging

Search capabilities: Search and filters enhanced by AI tagging

Governance & compliance

Security certifications: On-prem deployment supports data residency

Storage architecture: Local/on-prem storage with DAM indexing

Rights & governance score: Coming Soon

Metadata and permissions

Capability details (expand)

Core features
Cataloging; metadata; search; tagging; versioning; permissions
Advanced features
AI tagging engine; optional ChatGPT integration (per release notes)
Collaboration features
Shared catalogs for teams; permissions and versioning
Workflow features
Cataloging workflows (limited vs enterprise DAMs)
Brand management & creative operations
Basic sharing controls
Cataloging and search workflows

Integrations & Architecture

Integration ecosystem

Primarily local/team deployments; integrations vary
Native integrations
Desktop clients + server catalog
Third-party integrations
Storage and creative tools (varies)

API & delivery architecture

API available: Yes (limited/varies)

API documentation: View docs

CDN support: No

Storage architecture: Local/on-prem storage with DAM indexing

Integration depth

Coming Soon

Reliability

Coming Soon

Integration depth (TdR)

Coming Soon

Metadata flexibility

Coming Soon

Best integrations & pain points

Best integrations: Desktop clients + server catalog

Integration pain points: Coming Soon

Commercials

Pricing

Pricing model: License/subscription (varies by deployment)

Base price: Public pricing varies

Add-ons public: AI modules may vary by version

AI add-ons public: Varies — some AI modules may be add-ons by plan.

Transparency: High — public tiers/pricing available.

Notes: Often licensed per seat/server with options.

Support, success & enablement

Support tiers: Standard support

Customer success: Varies by plan; confirm during evaluation.

Training: Self-serve help center and docs; guided training may vary by plan.

Community forum: Vendor resources available; formal community forums vary.

Documentation clarity score: Coming Soon

Support reliability score: Coming Soon

Commercial friction (scores)

Pricing transparency

Coming Soon

Sales pressure

Coming Soon

Contract fairness

Coming Soon

Evidence & TdR Verdict

Third-party reviews

G2 rating: Coming Soon

Review count: https://daminion.net/articles/

View G2 Profile

Pros (summary): Coming Soon

Cons (summary): Coming Soon

Customers & proof

Notable customers: Coming Soon

Case studies: Coming Soon

TdR scorecard

Overall technical

Coming Soon

AI maturity

Coming Soon

Workflow automation

Coming Soon

Metadata flexibility

Coming Soon

Integration depth

Coming Soon

Governance & compliance

Coming Soon

Creative ops alignment

Coming Soon

Neutrality index

Coming Soon

Best fit for

Teams needing on-prem DAM with strong cataloging and AI tagging to accelerate metadata work.

Not recommended for

Enterprises needing cloud-first global distribution and large integration ecosystems.

Strengths

On-prem control; strong cataloging/search; AI tagging reduces manual effort.

Weaknesses

Smaller ecosystem; limited advanced workflows; cloud collaboration is not primary.

Best at (TdR)

On-prem/team DAM for cataloging-heavy archives with AI-assisted tagging.

Next Steps

Action

Visit Daminion

Validate positioning, packaging, and the latest AI + workflow roadmap details directly with the vendor.

Evidence

Read customer reviews

Use review patterns (pros/cons) to confirm whether the AI, integrations, and governance hold up in production.

Technical

Review API documentation

Confirm API coverage for ingestion, metadata, transformations, permissions, delivery, and automation hooks.

Navigate

Back to top

Quickly jump back to the AI matrix and TdR scorecard for side-by-side comparisons.