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Comparison

Graph Analytics vs Agentic AI

Comparing two AI approaches used in financial services: Graph Analytics (7 companies, $871M funded) and Agentic AI (35 companies, $425M funded).

At a Glance

Graph Analytics

Companies7
Total Funding$871M
Funded Companies6
Median Founded2018
Segments4

Agentic AI

Companies35
Total Funding$425M
Funded Companies17
Median Founded2018
Segments6

Technology Overview

Graph Analytics

Graph neural networks for network analysis and relationship detection

View all Graph Analytics companies →

Agentic AI

Autonomous AI agents that execute actions independently

View all Agentic AI companies →

Top Companies by Funding

Segment Distribution

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Frequently Asked Questions

What is the difference between Graph Analytics and Agentic AI in finance?

Graph Analytics and Agentic AI represent different approaches to applying AI in financial services. Graph neural networks for network analysis and relationship detection Autonomous AI agents that execute actions independently In the AIFI Map directory, 7 companies use Graph Analytics and 35 use Agentic AI. These technologies are typically used by different companies. (Source: AIFI Map directory.)

Which is more widely used in finance, Graph Analytics or Agentic AI?

Agentic AI is more widely adopted, with 35 companies versus 7. In terms of total funding, Graph Analytics companies have raised $871M, compared to $425M for Agentic AI. (Source: AIFI Map directory.)

Which Graph Analytics and Agentic AI companies are the most funded?

The most-funded Graph Analytics company is Chainalysis ($536M). The most-funded Agentic AI company is Wayfinder ($85M). (Source: AIFI Map directory.)

Can a company use both Graph Analytics and Agentic AI?

While it's possible in theory, no companies in the AIFI directory currently combine both Graph Analytics and Agentic AI as primary technologies. These approaches tend to serve different use cases in financial services.