EMAM Launches AssetMind Collaborative AI Pilot Program

AI visual understanding with AssetMind

Process enables organizations to evaluate AI quality and workflow fit using their own media

Organizations want to use AI while maintaining control over their content, infrastructure, and security policies. This collaborative pilot gives customers a structured way to assess AssetMind.”

— David Miller, President

NEW YORK, NY, UNITED STATES, November 2, 2026 /EINPresswire.com/ -- EMAM, Inc., a provider of media asset management solutions, today announces the AssetMind Collaborative AI Pilot Program. The structured, five-week program brings customers together with EMAM’s applied AI team to assess AssetMind using the customer’s own media and workflows either on-premises or in the cloud.

The program is designed to help broadcasters, media organizations, sports networks, government agencies, corporate media teams, and technology partners assess AI accuracy, workflow fit, infrastructure requirements, and costs before planning a production deployment.

“Organizations want to use AI while maintaining control over their content, infrastructure, and security policies,” said David Miller, President of EMAM. “This collaborative pilot gives customers and our team a structured way to assess the quality, workflow fit, and infrastructure requirements of AssetMind using their own media.”

How the pilot works:
Participants work with EMAM to define use cases and acceptance criteria, review baseline results, and assess improvements following optimization and retesting. The evaluation considers the customer’s content and languages, along with processing capacity and costs, to compare with existing tools or manual work.

Customers provide representative media and subject-matter experts to score results. EMAM’s team deploys and operates the pilot environment, tunes the platform, and works with participants on a production readiness assessment. The customer determines whether the results meet the organization’s needs.

Evaluation options:
• Cloud evaluation: An Amazon EC2 deployment enables evaluation of AI output and user experience without an initial customer GPU hardware purchase. Participants supply representative media, relevant infrastructure, and feedback.
• On-premises pilot: Approved NVIDIA GB10, GB300, or RTX PRO 4500-class hardware, supplied by the customer or a partner, supports evaluation within the customer’s environment. This path assesses infrastructure suitability and workflow requirements for private, sovereign, or air-gapped production deployments.

Organizations interested in participating can request a pilot discussion by emailing pilot@mediaassetmind.com.

About AssetMind
AssetMind by EMAM brings AI analysis and media workflows to the infrastructure where content resides. It supports on-premises and air-gapped deployments, with distributed processing through AssetMind nodes. AssetMind was previewed at IBC 2026 in Amsterdam, with a production release planned for 2027.

Capabilities available for evaluation include:
• Transcription, multilingual translation, and automatic titles, summaries, metadata, and tags.
• Semantic search using text and visual embeddings, visual scene and object understanding, face detection, face clustering, and person identification.
• Media ingest, indexing, and AI-assisted workflow automation.
• Web-based editorial workflows.
• Model Context Protocol (MCP) connectivity.
• Archiving to NAS and local or S3-compatible storage, with media restoration and transfer.

AssetMind offers fixed software pricing to support predictable software costs. The pilot assesses infrastructure needs and production costs. If standard AssetMind models do not meet the agreed quality target, EMAM may evaluate specialized third-party models or partners, with quality, security, licensing, and incremental costs reviewed jointly before adoption.

About EMAM
For 20 years, organizations have used the eMAM™ platform to manage, collaboratively create, share, and distribute media. EMAM’s products support broadcast, media, government, and corporate workflows across local, hybrid, and cloud environments. eMAM Next, released in 2025, provides AI tagging on local workstations.

EMAM works with dozens of system integrators and more than 110 technology partners. EMAM, Inc. is a closely held Delaware C-corporation headquartered in New York City.

For more information, visit www.mediaassetmind.com and www.emamsolutions.com

David S Miller
EMAM, Inc.
+1 888-808-3856

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