Vendor profile

eyebase Digital Asset Management | AI DAM Platform

eyebase • eyebase Digital Asset Management • Enterprise DAM

Digital Asset Management Cloud and on-prem options Mid-market to Enterprise December 31, 2025

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

Headquarters

Bavaria, Germany

Founded

June 14, 1905

Company size

Ownership

Private

Executive Summary AI & Automation Integrations TdR Verdict Vendor Website

Executive Summary

eyebase Digital Asset Management is positioned as enterprise dam for mid-market to enterprise organizations. It supports dam; portals; metadata; workflows; governance with asset library; metadata; permissions; workflows; portals. AI focus: eyebase integrates AI-driven facial anonymization (via PiktID) to support privacy and personality rights while keeping assets reusable across markets. Common integrations include Workflow and portals. Best fit: Teams that need enterprise DAM with strong governance plus AI-enabled privacy/anonymization workflows.

Overview

Company profile

Vendor: eyebase

Website: Visit

Headquarters: Bavaria, Germany

Founded: June 14, 1905

Employees:

Ownership: Private

Industries: Marketing, media, enterprises needing governance

Product snapshot

Product: eyebase Digital Asset Management

Category: Enterprise DAM

Deployment: Cloud and on-prem options

Target customer size: Mid-market to Enterprise

Supported use cases: DAM; portals; metadata; workflows; governance

In-depth product summary

eyebase Digital Asset Management is a cloud and on-prem options enterprise dam for mid-market to enterprise teams. Core capabilities: Asset library; metadata; permissions; workflows; portals. AI highlights: eyebase integrates AI-driven facial anonymization (via PiktID) to support privacy and personality rights while keeping assets reusable across markets.

AI & Automation

AI features overview

eyebase integrates AI-driven facial anonymization (via PiktID) to support privacy and personality rights while keeping assets reusable across markets.

AI model source: PiktID AI facial anonymization integration

AI notes: PiktID integration: https://www.eyebase.com/en/insights/partners/piktid/ ; partnership blog: https://www.eyebase.com/en/insights/blog/new-partnership-eyebase-and-piktid/

AI capability matrix

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

Workflow automation

Workflow builder: Workflow engine

Automation features: Approvals; routing; metadata governance; distribution

Workflow use cases supported: Brand governance; rights and privacy workflows; partner portals

Admin complexity score: AI features are more integration-based than broad AI enrichment suite

Workflow limitations: Coming Soon

AI & automation scores

AI maturity

Coming Soon

Workflow automation

Coming Soon

Implementation difficulty

7

TCO

7

Capabilities & Governance

Search, metadata & file support

Supported file types: Images, video, documents

Metadata flexibility: Custom metadata schemas

Search capabilities: Search and filtering; AI primarily via privacy processing

Governance & compliance

Security certifications: Security details via vendor

Storage architecture: Cloud or on-prem

Rights & governance score: Coming Soon

Strong rights/privacy story via anonymization integration

Capability details (expand)

Core features
Asset library; metadata; permissions; workflows; portals
Advanced features
AI integration for privacy (facial anonymization via PiktID)
Collaboration features
Portals and workflow collaboration
Workflow features
Configurable workflows for approvals and governance
Brand management & creative operations
Portals and controlled distribution
Approval routing and lifecycle controls

Integrations & Architecture

Integration ecosystem

Integrations across content ecosystems; AI via partner tools
Native integrations
Workflow and portals
Third-party integrations
CMS; PIM; SSO; AI image processing tools

API & delivery architecture

API available: Yes

API documentation: View docs

CDN support: Yes

Storage architecture: Cloud or on-prem

Integration depth

Coming Soon

Reliability

Coming Soon

Integration depth (TdR)

Coming Soon

Metadata flexibility

Coming Soon

Best integrations & pain points

Best integrations: Workflow and portals

Integration pain points: Coming Soon

Commercials

Pricing

Pricing model: Quote-based

Base price: Contact sales

Add-ons public: Module-based

AI add-ons public: N/A or minimal AI add-ons.

Transparency: Low — quote-based pricing.

Notes: Depends on deployment and modules.

Support, success & enablement

Support tiers: Tiered support

Customer success: Yes — customer success/services available (varies by plan).

Training: Yes — onboarding/training available (vendor/partners).

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://www.eyebase.com/en/insights/

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 that need enterprise DAM with strong governance plus AI-enabled privacy/anonymization workflows.

Not recommended for

Teams prioritizing broad AI tagging/visual search as the primary differentiator.

Strengths

Enterprise DAM fundamentals; flexible deployment; differentiates with AI anonymization for privacy and rights.

Weaknesses

AI focus is narrower than AI-first enrichment suites; feature depth depends on modules.

Best at (TdR)

Rights and privacy workflows in DAM—AI facial anonymization for compliant asset reuse.

Next Steps

Action

Visit eyebase

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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

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