Introducing G2.ai, the future of software buying.Try now
Product Avatar Image

Cambridge Intelligence

Show rating breakdown
6 reviews
  • 3 profiles
  • 3 categories
Average star rating
4.6
Serving customers since
2011

Profile Name

Star Rating

5
1
0
0
0

Cambridge Intelligence Reviews

Review Filters
Profile Name
Star Rating
5
1
0
0
0
Leonardo D.
LD
Leonardo D.
02/27/2025
Validated Reviewer
Verified Current User
Review source: Organic

Incredible tool for pattern analysis

Mainly, the documentation is very complete, the integration into the system was very easy and really facilitates the analysis of data and patterns, the times that training was given by the support they were very attentive and that has helped me use it in most of my projects
Verified User in Computer & Network Security
AC
Verified User in Computer & Network Security
02/06/2025
Validated Reviewer
Review source: Organic

The most valuable product

The simplicity of implementation, the well-documented process, and the responsive customer support that provides timely answers with explanations and examples.
Manolo L.
ML
Manolo L.
01/31/2025
Validated Reviewer
Verified Current User
Review source: Organic

Easy data analysis

The visualization and way of analyzing the information, in addition to having many tools available for analysis, is also very easy to integrate into projects thanks to the extensive documentation. The support is very good and always inform about new features

About

Contact

HQ Location:
Cambridge, GB

Social

@cambridgeintel

What is Cambridge Intelligence?

Cambridge Intelligence is a company that specializes in providing data visualization solutions, particularly for understanding complex relationships within connected data sets. Their flagship product, KeyLines, is a JavaScript software development kit (SDK) that enables developers to create bespoke network visualizations. This helps organizations to uncover patterns, anomalies, and hidden connections in data. Their tools are used across various sectors, including cybersecurity, fraud detection, law enforcement, and network infrastructure, to make sense of intricate data relationships.

Details

Year Founded
2011