Vendor profile

MarcomCentral MarcomGather (DAM) | AI DAM Platform

MarcomCentral • MarcomCentral MarcomGather (DAM) • Brand enablement + DAM

Digital Asset Management Cloud SaaS Mid-market to Enterprise December 31, 2025

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

Headquarters

USA (vendor-operated)

Founded

June 22, 1905

Company size

Ownership

Private

Executive Summary

MarcomCentral MarcomGather (DAM) is positioned as brand enablement + dam for mid-market to enterprise organizations. It supports centralize marketing assets; brand enablement; partner distribution; controlled templates with dam library; tagging; collections; permissions; search; sharing. AI focus: MarcomGather is described as offering AI-enabled tagging in some product references; primary value is centralized organization and fast retrieval/sharing of approved assets. Common integrations include MarcomGather DAM module. Best fit: Organizations needing brand enablement DAM for distributing approved assets across large or distributed teams.

Overview

Company profile

Vendor: MarcomCentral

Website: Visit

Headquarters: USA (vendor-operated)

Founded: June 22, 1905

Employees:

Ownership: Private

Industries: Healthcare, finance, education, franchise, manufacturing

Product snapshot

Product: MarcomCentral MarcomGather (DAM)

Category: Brand enablement + DAM

Deployment: Cloud SaaS

Target customer size: Mid-market to Enterprise

Supported use cases: Centralize marketing assets; brand enablement; partner distribution; controlled templates

In-depth product summary

MarcomCentral MarcomGather (DAM) is a cloud saas brand enablement + dam for mid-market to enterprise teams. Core capabilities: DAM library; tagging; collections; permissions; search; sharing. AI highlights: MarcomGather is described as offering AI-enabled tagging in some product references; primary value is centralized organization and fast retrieval/sharing of approved assets.

AI & Automation

AI features overview

MarcomGather is described as offering AI-enabled tagging in some product references; primary value is centralized organization and fast retrieval/sharing of approved assets.

AI model source: Vendor-managed (details vary)

AI notes: MarcomGather DAM page: https://marcom.com/marcomgather/ ; SoftwareAdvice reference: https://www.softwareadvice.com/cms/marcomcentral-web-to-print-profile/

AI capability matrix

Capability Support
AI tagging Yes (per product references)
AI OCR No
AI transcription No
Visual similarity search No
Smart cropping No
Rights detection No

Workflow automation

Workflow builder: Basic workflow tools

Automation features: Tagging at upload; collections; sharing; notifications

Workflow use cases supported: Brand asset distribution; internal enablement; partner sharing

Admin complexity score: Not an AI-first DAM; deeper AI capabilities not widely documented publicly

Workflow limitations: Coming Soon

AI & automation scores

AI maturity

Coming Soon

Workflow automation

Coming Soon

Implementation difficulty

6

TCO

6

Capabilities & Governance

Search, metadata & file support

Supported file types: Images, video, documents

Metadata flexibility: Tags and metadata fields

Search capabilities: Search and filter across collections

Governance & compliance

Security certifications: Security details via vendor

Storage architecture: Cloud storage (SaaS)

Rights & governance score: Coming Soon

Permissions and governance

Capability details (expand)

Core features
DAM library; tagging; collections; permissions; search; sharing
Advanced features
AI-enabled tagging referenced in listings; analytics; integrations
Collaboration features
Sharing and access controls for broad organizations
Workflow features
Lightweight approval and organization workflows
Brand management & creative operations
Brand enablement via approved asset distribution
Asset intake and distribution to teams

Integrations & Architecture

Integration ecosystem

Integrations with storage systems and marketing stacks
Native integrations
MarcomGather DAM module
Third-party integrations
Google Drive; Dropbox; SSO; brand enablement tools

API & delivery architecture

API available: Yes

API documentation: View docs

CDN support: Yes

Storage architecture: Cloud storage (SaaS)

Integration depth

Coming Soon

Reliability

Coming Soon

Integration depth (TdR)

Coming Soon

Metadata flexibility

Coming Soon

Best integrations & pain points

Best integrations: MarcomGather DAM module

Integration pain points: Coming Soon

Commercials

Pricing

Pricing model: Subscription (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: Pricing depends on configuration 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://marcom.com/resources/

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

Organizations needing brand enablement DAM for distributing approved assets across large or distributed teams.

Not recommended for

Teams needing advanced AI enrichment and complex metadata modeling.

Strengths

Brand enablement orientation; find-and-share experience; AI tagging referenced for faster organization.

Weaknesses

AI depth and platform extensibility are limited vs AI-first or platform-style DAMs.

Best at (TdR)

Brand enablement DAM for distributing approved assets with controlled access and collections.