Vendor profile

MediaValet Digital Asset Management | AI DAM Platform

MediaValet • MediaValet Digital Asset Management • Enterprise SaaS DAM (Azure-native)

Digital Asset Management Cloud SaaS (Azure-native) Mid-market to Enterprise December 31, 2025

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

Headquarters

Vancouver, British Columbia, Canada

Founded

July 2, 1905

Company size

Ownership

Private/Public (verify at purchase time)

Executive Summary

MediaValet Digital Asset Management is positioned as enterprise saas dam (azure-native) for mid-market to enterprise organizations. It supports central dam; global distribution; portals; governance; rich media management with asset library; metadata; permissions; portals; versioning; workflow approvals; integrations. AI focus: MediaValet layers AI (auto-tagging, face recognition, video indexing) leveraging Microsoft Azure Computer Vision and Azure Machine Learning to improve metadata and search. Common integrations include Microsoft 365; Adobe Creative Cloud; SharePoint; Teams; Slack. Best fit: Teams wanting Azure-native enterprise DAM with practical AI (auto-tagging, face recognition, video indexing).

Overview

Company profile

Vendor: MediaValet

Website: Visit

Headquarters: Vancouver, British Columbia, Canada

Founded: July 2, 1905

Employees:

Ownership: Private/Public (verify at purchase time)

Industries: Marketing, media, government, enterprises with large media libraries

Product snapshot

Product: MediaValet Digital Asset Management

Category: Enterprise SaaS DAM (Azure-native)

Deployment: Cloud SaaS (Azure-native)

Target customer size: Mid-market to Enterprise

Supported use cases: Central DAM; global distribution; portals; governance; rich media management

In-depth product summary

MediaValet Digital Asset Management is a cloud saas (azure-native) enterprise saas dam (azure-native) for mid-market to enterprise teams. Core capabilities: Asset library; metadata; permissions; portals; versioning; workflow approvals; integrations. AI highlights: MediaValet layers AI (auto-tagging, face recognition, video indexing) leveraging Microsoft Azure Computer Vision and Azure Machine Learning to improve metadata and search.

AI & Automation

AI features overview

MediaValet layers AI (auto-tagging, face recognition, video indexing) leveraging Microsoft Azure Computer Vision and Azure Machine Learning to improve metadata and search.

AI model source: Azure Computer Vision; Azure Machine Learning; (video indexing services)

AI notes: Microsoft case study: https://partner.microsoft.com/en-ca/connect/case-studies/mediavalet-case-study ; AI product page: https://www.mediavalet.com/product/artificial-intelligence

AI capability matrix

Capability Support
AI tagging Yes
AI OCR Yes
AI transcription Yes (via Azure video indexing capabilities)
Visual similarity search Optional/Yes
Smart cropping Optional
Rights detection Partial

Workflow automation

Workflow builder: Workflow/approvals

Automation features: Approvals; annotations; statuses; notifications; versioning

Workflow use cases supported: Creative approvals; global brand distribution; asset governance; video library management

Admin complexity score: AI and enterprise capabilities can increase cost; governance setup required for best results

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 + governance controls

Search capabilities: Faceted search enhanced by AI auto-tagging and recognition

Governance & compliance

Security certifications: Security: https://www.mediavalet.com/security/

Storage architecture: Azure-native architecture (cloud storage + indexing)

Rights & governance score: Coming Soon

Rights metadata and governance via roles/permissions

Capability details (expand)

Core features
Asset library; metadata; permissions; portals; versioning; workflow approvals; integrations
Advanced features
AI tiers; face recognition; video indexing; automation; enterprise integrations
Collaboration features
Portals and sharing; annotations; approvals; versioning
Workflow features
Approval workflows and lifecycle routing with notifications
Brand management & creative operations
Brand portals and controlled distribution
Creative tool integrations and collaboration workflows

Integrations & Architecture

Integration ecosystem

Integrates with Microsoft ecosystem and marketing stack; APIs and integrations available
Native integrations
Microsoft 365; Adobe Creative Cloud; SharePoint; Teams; Slack
Third-party integrations
CMS; PIM; marketing automation; SSO; iPaaS

API & delivery architecture

API available: Yes

API documentation: View docs

CDN support: Yes (Azure-backed delivery)

Storage architecture: Azure-native architecture (cloud storage + indexing)

Integration depth

Coming Soon

Reliability

Coming Soon

Integration depth (TdR)

Coming Soon

Metadata flexibility

Coming Soon

Best integrations & pain points

Best integrations: Microsoft 365; Adobe Creative Cloud; SharePoint; Teams; Slack

Integration pain points: Coming Soon

Commercials

Pricing

Pricing model: Subscription (quote-based)

Base price: Contact sales

Add-ons public: AI tiers/add-ons

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

Transparency: Low — quote-based pricing.

Notes: Pricing varies by storage, users, and AI tiers.

Support, success & enablement

Support tiers: Tiered support + customer success

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.mediavalet.com/customers

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 wanting Azure-native enterprise DAM with practical AI (auto-tagging, face recognition, video indexing).

Not recommended for

Small teams needing a low-cost, minimal-admin DAM.

Strengths

Azure-native scalability; strong AI story; solid enterprise DAM fundamentals.

Weaknesses

AI and enterprise features can increase cost; admin/governance effort required.

Best at (TdR)

Azure-first DAM with tiered AI for metadata enrichment and rich media discovery.