Comparison
Data Platform vs Infrastructure
Comparing two AI approaches used in financial services: Data Platform (48 companies, $20.3B funded) and Infrastructure (46 companies, $14.4B funded).
At a Glance
Data Platform
Infrastructure
Technology Overview
Data Platform
Data aggregation and enrichment platforms with minimal ML
View all Data Platform companies →Infrastructure
AI/ML infrastructure, compute networks, and tooling
View all Infrastructure companies →Top Companies by Funding
Segment Distribution
Related Comparisons
Frequently Asked Questions
What is the difference between Data Platform and Infrastructure in finance?
Data Platform and Infrastructure represent different approaches to applying AI in financial services. Data aggregation and enrichment platforms with minimal ML AI/ML infrastructure, compute networks, and tooling In the AIFI Map directory, 48 companies use Data Platform and 46 use Infrastructure. These technologies are typically used by different companies. (Source: AIFI Map directory.)
Which is more widely used in finance, Data Platform or Infrastructure?
Data Platform is more widely adopted, with 48 companies versus 46. In terms of total funding, Data Platform companies have raised $20.3B, compared to $14.4B for Infrastructure. (Source: AIFI Map directory.)
Which Data Platform and Infrastructure companies are the most funded?
The most-funded Data Platform company is Databricks ($14.0B). The most-funded Infrastructure company is Stripe ($9.8B). (Source: AIFI Map directory.)
Can a company use both Data Platform and Infrastructure?
While it's possible in theory, no companies in the AIFI directory currently combine both Data Platform and Infrastructure as primary technologies. These approaches tend to serve different use cases in financial services.