Industry

GLAM and Cultural Heritage in the Age of AI

The cultural heritage sector is undergoing a profound transformation. Vast collections, expanding digital programs, and growing audience expectations require institutions to deliver more than storage and access—they must deliver meaning. Data Graphs empowers GLAM organizations to break free from silos, unify multimodal collections, and activate their knowledge for research, education, storytelling, and engagement—securely, and on their own terms.

User Groups & Use Cases Across the GLAM Ecosystem

Visitors – Onsite and Digital

Visual, intuitive, non-linear discovery
Context-rich stories triggered by interest, time, place, or theme
Self-guided tours onsite, digital or hybrid journeys

Researchers and Scholars

Fast, precise search
Cross-referenced knowledge navigation
Semantic enrichment for research workflows

Curators and Archivists

Metadata curation and quality assurance
Cross-collection alignment and vocabulary consistency
Enriched context for exhibitions and interpretation

Museum, Library and Archive Staff

Unified internal view of collections
AI-powered assistance for day-to-day tasks
Intelligent retrieval from across systems

Educators and Students

Narrative support for teaching
Simplified pathways to explore themes, eras, or people
Tools for building custom educational experiences

Genealogists and Local Historians

Time/place exploration
People graphs
Insight into communities, events, and lineages

Supporters and Stakeholders

Visibility into the impact of digitization
Demonstration of public value
Insight into how collections enrich community programs

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Cultural Knowledge, Designed for Humans, Powered by AI

Data Graphs is an enterprise-ready Knowledge Graph Platform engineered for speed, trust, and clarity. It connects collections, archives, research data, and media by meaning, not by the original system they live in. With Data Graphs, every object, story, and relationship becomes part of a living knowledge ecosystem—ready for search, exploration, secure AI, and future visitor experiences.

Unifies collections, archives, and media into a single, living knowledge ecosystem
Reveals hidden relationships between objects, stories, people, places, and time periods
Powers secure, institution-owned AI that enhances research, curation, and visitor engagement
Enables fast, intuitive exploration for every audience—from curators and educators to digital visitors

Accelerating Innovation with a GLAM Knowledge Hub

Data Graphs consolidates disparate collection systems, archives, DAMs, spreadsheets, cataloging tools, and research resources into a single, semantically rich knowledge hub.
This unified foundation makes it easy for:

Curators to explore cross-collection relationships
Archivists to manage metadata consistently
Educators to craft narratives for programs
Researchers to discover connections rapidly
Visitors to experience culture through interactive, intuitive interfaces

AI-Powered Discovery, Research & Interpretation

Data Graphs brings together structured metadata, unstructured archives, text, images, audio, video, and documents. Using Data Graphs’ private Agentic AI capabilities, teams can ask natural-language questions across their entire collections—without any data ever leaving their secure environment.

Deliver semantic search across collections, exhibitions, and archives
Provide hyper-contextual recommendations for curatorial, educational, and research workflows
Enable visitors to access explainable cultural knowledge through trusted, institution-owned AI
Build interactive, nonlinear digital journeys that turn collections into living, navigable stories

Seamless Integration Across GLAM Systems

Data Graphs overcomes fragmented legacy ecosystems by unifying metadata, media, archives, and operational systems:

Collections Management Systems (CMS)
Digital Asset Management Systems (DAM)
Library cataloging systems
Archival databases
Research databases
Public exhibition platforms
Education portals

Using flexible APIs and web services, Data Graphs becomes the connective tissue between systems—enhancing them with shared metadata, stronger search, secure AI enrichment, and contextual knowledge.

Multimodal Content & Media Graphs

Unlike traditional graph tools, Data Graphs treats images, videos, audio, and documents as first-class citizens.

This enables cultural institutions to:

Link media directly to works, events, creators, places, and themes
Momentize video and synchronize archival footage with metadata
Build interactive stories that surface relationships hidden across media types
Create dynamic contextual layers around exhibitions or digital programs

This multimodal foundation is critical for modern GLAM experiences—from digital galleries to virtual exhibitions to AI-powered collection discovery.

Start Anywhere, Go Anywhere — Search across Cultural Collections

Data Graphs blends graph-powered contextual search with industry-leading full-text search to create:

Faster, deeper research capabilities
Discovery paths across structured, semi-structured, and unstructured collections
Fully explainable AI search with citations
The ability to “Start Anywhere → Go Anywhere” across the knowledge graph

Search is no longer limited by formats, systems, or controlled vocabularies—everything becomes discoverable through meaning and connection.

A Living Archive: From Storage to Storytelling

GLAM institutions often face a common challenge: collections live in silos, dependent on manual curation and institutional memory.
Data Graphs transforms this landscape by enabling:

A dynamic, interconnected knowledge network
Cross-collection storytelling
Deeper insight into people, places, culture, and history
Rapid prototyping of digital exhibits and micro-experiences
AI-assisted interpretation grounded solely in verified, institutional data

By activating your archive as a living knowledge system, you create new pathways for research, innovation, and public engagement.