Pegasystems Inc. (Pega) is a global software company based in Waltham, Massachusetts, in the United States, and founded in 1983. The company has been publicly traded since 1996 as PEGA (NASDAQ). Pega is a low-code platform for workflow automation and generative AI-powered decision-making for businesses.
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Pegasystems topic overview
The analysis highlights History, Measurement, Companies and Products as prominent areas in the source structure around Pegasystems.
Related topics
57
Source areas
4
Connected nodes
61
Extracted relationships
111
Concept neighborhoods
20
Bridge connections
61
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 · 27 topics
Clients and projects · 20 topics
Overview · 6 topics
Products and services · 4 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
1983; 43 years ago (1983)
Founders
Alan Trefler
Industry
Information technology
Headquarters
Waltham, Massachusetts, U.S.
Key people
Alan Trefler (CEO)
Net income
US$0.186 billion (2025)
Explore all related topics Closing gaps
A structured outline of related entities, concepts and subtopics. Open any item to build a new map centered on it.
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.
Deeper signals for content research, entity SEO and topical coverage. The plain-language headings explain what each technical view is useful for.
How Pegasystems connects Entity context
Entity context groups extracted connections by relationship type. Counts show recurrence in the analyzed source; the examples are research signals, not claims about importance.
The extracted context around Pegasystems shows recurring relationship patterns in the source. For example, Pegasystems → Aflac, Australia, BAA, BNY Mellon, Bupa, Centrica, Cisco Systems, Citi, Coca-Cola, Commonwealth Bank, Ford, HCA Healthcare, ING, JP Morgan, Lloyds Banking Group, Maine, PayPal, Pega, Philips, Shawbrook Bank Another extracted example is Pegasystems → Amazon Web Services, Antenna Software, Bangalore, Bangalore-based, Chordiant, Chordiant’s CRM, Firefly, In, In March, India, Kraków, MeshLabs, North America, October, Pega Cloud, The. Use these groups to spot repeated connection types before inspecting the individual relationships.
Pegasystems → Amazon Web Services, Antenna Software, Bangalore, Bangalore-based, Chordiant, Chordiant’s CRM, Firefly, In, In March, India, Kraków, MeshLabs, North America, October, Pega Cloud, The
related to 2020–present· 16
Pegasystems → Australia, Bavarian, Boston Resiliency Fund, Bruce Springsteen, Commonwealth Bank, COVID, COVID-19, Dropkick Murphys, Feeding America, Fenway Park, Habitat, Humanity, In April, In May, The, Throughout
related to Pega GenAI· 14
Pegasystems → AI, AI-powered, AWS, By, Google Cloud’s, In, Knowledge Buddy, LLMs, Pega GenAI, Pega Infinity, Pegasystems’ GenAI, Pega’s, Responses, They
related to history· 10
Pegasystems → Alan Trefler, American Express, Cambridge, During, Massachusetts, NASDAQ, PEGA, Prior, The, Trefler
Products· 3
Pegasystems → Business process management tools, Customer relationship management tools, Low-code development platform
Relationships are represented as Subject → Predicate → Object triples. Confidence describes extraction strength, not the real-world importance of a relationship; lower-confidence rows may be contextual rather than explicit.
TTTA extracted 111 structured relationships around Pegasystems. Examples in this analysis include Pegasystems → Founded → 1983; 43 years ago (1983) and Pegasystems → Founders → Alan Trefler. The table shows each extracted connection, where it came from and its confidence.
Subject
Predicate
Object
Confidence
Src
Pegasystems
Founded
1983; 43 years ago (1983)
1.00
infobox
Pegasystems
Founders
Alan Trefler
1.00
infobox
Pegasystems
Headquarters
Waltham, Massachusetts, U.S.
1.00
infobox
Pegasystems
Industry
Information technology
1.00
infobox
Pegasystems
Key people
Alan Trefler (CEO)
1.00
infobox
Pegasystems
Net income
US$0.186 billion (2025)
1.00
infobox
Pegasystems
Number of employees
5,472 (2025)
1.00
infobox
Pegasystems
Number of locations
40 (2026)
1.00
infobox
Pegasystems
Operating income
US$0.245 billion (2025)
1.00
infobox
Pegasystems
Products
Low-code development platform
1.00
infobox
Pegasystems
Products
Customer relationship management tools
1.00
infobox
Pegasystems
Products
Business process management tools
1.00
infobox
Pegasystems
Revenue
US$1.58 billion (2025)
1.00
infobox
Pegasystems
Total assets
US$1.65 billion (2025)
1.00
infobox
Pegasystems
Total equity
US$684.08 million (2025)
1.00
infobox
Pegasystems
Traded as
Nasdaq: PEGA
1.00
infobox
Pegasystems
Traded as
S&P 400 component
1.00
infobox
Pegasystems
Type
Public
1.00
infobox
Pegasystems
Website
www.pega.com
1.00
infobox
No triples extracted yet.
Related concept clusters Concept neighborhoods
Concept neighborhoods group terms that sit near one another in the extracted graph. They are useful for discovering adjacent language and context, but proximity does not by itself imply a factual relationship.
The concept neighborhoods around Pegasystems bring nearby vocabulary together. In this analysis, examples include Services, Acquired and Software. Use the clusters to find adjacent concepts and terminology that may deserve separate research.
Pegasystems
Services
Acquired
Software
Process
Massachusetts
Waltham
Company
Products
Platform
Clients
Management
Data
pegasystems
Services
Acquired
Software
Process
Massachusetts
Waltham
Company
Products
Platform
Clients
Management
Data
workflow automation
Agent
Platform
Generative
Design
Process
Users
Ai
Acquired
Customer
Application
Automation
Software
ai
Blueprint
Legacy
Agent
Design
Pega’s
Products
Systems
Pega
Agents
Workflow
Process
Agentic
robotic process automation
Fabric
Data
Platform
Products
Process
Acquired
Customer
Software
Workflow
Management
Pega
Agents
low-code platform
Infinity
Products
Customer
Process
Software
Blueprint
Ai
Trefler
Agentic
Clients
Fabric
Genai
products and services
Genai
Management
Infinity
Process
Customer
Ai
Google
Services
Trefler
Agentic
Clients
Fabric
waltham, massachusetts
Massachusetts
Waltham
Trefler
Nasdaq
Pegasystems
Pega
Inc
Management
Products
Customer
Software
Platform
Connections between topic areas Semantic bridges
Semantic bridges connect parts of the graph that would otherwise be more separate. A bridge is a structural signal in this analysis, not a claim that the two topic areas are equivalent.
For Pegasystems, one of the stronger structural bridges in this analysis connects Pegasystems 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.
Number of nodes, edges, triples, density and central hubs. Use it to gauge the size and connectivity of the map.
Pegasystems
Nodes62
Edges61
Triples111
Avg. degree1.97
Density0.032258
Components1
Source & methodology
TTTA analyzes the structure around Pegasystems to surface related topics, entities, relationships, concept neighborhoods and bridge connections. Use the map to explore areas such as History, Measurement, Companies & Products, including less central topics that may reveal useful research gaps. Automatically extracted connections are research leads rather than rewritten encyclopedia content.
