Google AI ModeSep 11, 2026
Cambridge Intelligence KeyLines High-performance HTML5/WebGL graph visualization toolkit.
Data as of Oct 16, 2026Based on 1,570 AI responses
Reviewed by Dimitry Apollonsky
The market map
AI Knowledge Graph PlatformsShare of answers in AI Knowledge Graph Platforms each week · 313 answers since Jul 5
Each engine’s share of its own answers across Cambridge Intelligence’s markets · since Jul 5
This page was cited in 4 AI answers that named Cambridge Intelligence.
Review how this page presents the business before deciding whether to contact its publisher. The citation evidence does not establish that the page mentions the brand or needs a correction.
All-time evidence through 2026-10-16.
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Where Cambridge Intelligence ranks in AI
Question: I need a graph database visualization tool that works with generative AI exploration.
Google AI ModeAug 10, 2026
Cambridge Intelligence KeyLines / ReGraph: If you are building a custom GenAI application (e.g., backed by Amazon Neptune or a custom LLM stack), KeyLines (for web/JS) and ReGraph (for React) provide high-performance visualization toolkits
Question: What are the best data analytics tools for a fraud investigator to use for identifying patterns of fraudulent activity?
Google AI ModeAug 9, 2026
Cambridge Intelligence (KeyLines / ReGraph): Frequently paired with graph databases to offer interactive, visual representations of connected data
cambridge-intelligence.com 0%Other sites 100%
Excerpts where Cambridge Intelligence appeared in the AI's answer
Cambridge Intelligence KeyLines High-performance HTML5/WebGL graph visualization toolkit.
Cambridge Intelligence KeyLines / ReGraph: If you are building a custom GenAI application (e.g., backed by Amazon Neptune or a custom LLM stack), KeyLines (for web/JS) and ReGraph (for React) provide high-performance visualization toolkits
Excerpts where Cambridge Intelligence appeared in the AI's answer
Cambridge Intelligence (KeyLines / ReGraph): Frequently paired with graph databases to offer interactive, visual representations of connected data