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Digimarc: History, Companies, Products & Technology

Digimarc Corporation is a provider of enterprise software and services. The company's software, which includes digital identifiers (i.e., serialized QR codes and digital watermarks), is designed to address counterfeiting, product authenticity, recycling accuracy, and supply chain traceability. Digimarc products are created for multiple industries such as…

Language: English [EN]
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Digimarc topic overview

The analysis highlights History, Companies, Products and Technology as prominent areas in the source structure around Digimarc.

Related topics
10
Source areas
2
Connected nodes
12
Extracted relationships
18
Concept neighborhoods
7
Bridge connections
12

What this topic covers Research coverage

Source areas are shown by the number of related topics found in each part of the analysis. Use smaller areas too: they can reveal specialized angles and content gaps.

History · 7 topics
Overview · 3 topics

Smaller areas are not necessarily less important. They contain fewer connections in this analysis and can be useful for finding specialized angles or coverage gaps.

Key facts & relationships

High-confidence facts extracted from structured source data. Use them as anchors for further research.

Founded
1995; 31 years ago (1995)
Industry
Technology
Headquarters
8500 SW Creekside Pl Beaverton, Oregon, United States
Area served
Worldwide
Founder
Geoff Rhoads
Key people
Riley McCormack (CEO)

Explore all related topics Closing gaps

Browse the complete topic structure, not only the most central items. Less prominent entities and concepts can reveal missing angles, specialized context and useful research gaps. Each item opens a new analysis centered on that subject.

Overview

History

Advanced semantic analysis

Deeper signals for content research, entity SEO and topical coverage. The plain-language headings explain what each technical view is useful for.

How Digimarc connects Entity context

The extracted context around Digimarc shows recurring relationship patterns in the source. For example, Digimarc → Worldwide Another extracted example is Digimarc → 1995; 31 years ago (1995). Use these groups to spot repeated connection types before inspecting the individual relationships.

Digimarc

Top relations

Area served · 1
Digimarc → Worldwide
Founded · 1
Digimarc → 1995; 31 years ago (1995)
Founder · 1
Digimarc → Geoff Rhoads
Headquarters · 1
Digimarc → 8500 SW Creekside Pl Beaverton, Oregon, United States
Industry · 1
Digimarc → Technology
Key people · 1
Digimarc → Riley McCormack (CEO)
Number of employees · 1
Digimarc → 295
Revenue · 1
Digimarc → c. US$26.5 million (2021)
Traded as · 1
Digimarc → Nasdaq: DMRC Russell 2000 Component
Type · 1
Digimarc → Public

Important terminology

Use these terms to understand the vocabulary surrounding the topic, not as a checklist for keyword stuffing.

Important terminology

company digital software product products corporation company's watermarks based ceo evrythng 100 companies counterfeiting authenticity 2022 london public oregon industry

Digimarc relationships Subject–Predicate–Object triples

TTTA extracted 18 structured relationships around Digimarc. Examples in this analysis include Digimarc → Area served → Worldwide and Digimarc → Founded → 1995; 31 years ago (1995). The table shows each extracted connection, where it came from and its confidence.

SubjectPredicateObjectConfidenceSrc
DigimarcArea servedWorldwide1.00infobox
DigimarcFounded1995; 31 years ago (1995)1.00infobox
DigimarcFounderGeoff Rhoads1.00infobox
DigimarcHeadquarters8500 SW Creekside Pl Beaverton, Oregon, United States1.00infobox
DigimarcIndustryTechnology1.00infobox
DigimarcKey peopleRiley McCormack (CEO)1.00infobox
DigimarcNumber of employees2951.00infobox
DigimarcRevenuec. US$26.5 million (2021)1.00infobox
DigimarcTraded asNasdaq: DMRC Russell 2000 Component1.00infobox
DigimarcTypePublic1.00infobox
DigimarcWebsitedigimarc.com1.00infobox
apparelinstance ofDigimarc products are created for multiple industries0.80text

Related concept clusters Concept neighborhoods

The concept neighborhoods around Digimarc bring nearby vocabulary together. In this analysis, examples include Founded, Geoff and Mccormack. Use the clusters to find adjacent concepts and terminology that may deserve separate research.

  • Digimarc
    • Founded
    • Geoff
    • Mccormack
    • Rhoads
    • Riley
    • Served
    • States
    • Ceo
    • Products
    • Software
    • Company
    • Authenticity
  • digimarc
    • Founded
    • Geoff
    • Mccormack
    • Rhoads
    • Riley
    • Served
    • States
    • Ceo
    • Products
    • Software
    • Company
    • Authenticity
  • technology and engineering emmy award
    • Industry
    • Founded
    • Geoff
    • Mccormack
    • Oregon
    • Public
    • Rhoads
    • Riley
    • Served
    • States
    • Ceo
    • Corporation
  • digital identifiers
    • Software
    • Product
    • Watermarks
    • Company
    • Counterfeiting
    • Evrythng
    • London
    • Based
    • Products
    • First
    • Initial
    • Year
  • enterprise software
    • Product
    • Evrythng
    • London
    • Based
    • Products
    • Company
    • Counterfeiting
    • First
    • Initial
    • Watermarks
  • bruce davis
    • Davis
    • Ceo
    • First
    • Mccormack
    • Patent
    • Riley
    • Served
    • Company's
    • Digimarc
  • evrythng
    • London
    • Based
    • Products
    • Software
    • Product
    • Company

Connections between topic areas Semantic bridges

For Digimarc, one of the stronger structural bridges in this analysis connects Digimarc with History. Bridges highlight paths between different parts of the map and can reveal research angles that are easy to miss in a flat list.

Min side: 3
DigimarcHistory · splits 5 ⟂ 8
DigimarcOverview · splits 9 ⟂ 4

Map overview Semantic statistics

Digimarc

Nodes13
Edges12
Triples18
Avg. degree1.85
Density0.153846
Components1

Source & methodology

TTTA analyzes the structure around Digimarc to surface related topics, entities, relationships, concept neighborhoods and bridge connections. Use the map to explore areas such as History, Companies, Products & Technology, including less central topics that may reveal useful research gaps. Automatically extracted connections are research leads rather than rewritten encyclopedia content.

Source: Wikipedia — Digimarc · EN edition · Analysis: TopicsToTalkAbout

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