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AI Technology

Predictive ML in Finance

Traditional ML algorithms for classification, regression, and scoring models

Companies 200
Total Funding $51.8B
Segments 9

Segments

Market Segments

Directory

Top Companies by Funding

200
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Frequently Asked Questions

How is Predictive ML used in finance?

Traditional ML algorithms for classification, regression, and scoring models In the financial sector, Predictive ML is applied across 9 market segments. The most common are Lending & Credit (58 companies), Enterprise Finance (58 companies), Risk & Compliance (42 companies). 200 companies in the AIFI directory use Predictive ML, with $51.8B in combined funding.

Which financial companies use Predictive ML?

200 companies in the AIFI directory use Predictive ML. Adenza: AI risk and trading platform. Klarna: AI-powered BNPL with agent features. Ramp: AI-powered corporate cards and spend management. And 169 more.

How many companies use Predictive ML in finance?

The AIFI directory tracks 200 financial companies using Predictive ML, with a combined $51.8B in funding raised. These companies span the technology stack: Applications (127), Models (60), Automation (37), Data (13). (Source: AIFI Map directory.)

What is the most funded Predictive ML finance company?

Adenza is the most funded Predictive ML company in the AIFI directory, with $5.7B raised. AI risk and trading platform Other highly funded Predictive ML companies include Klarna ($4.2B), Ramp ($2.3B), Nubank ($2.2B).

What market segments use Predictive ML?

Predictive ML is used across 9 market segments in financial services. Lending & Credit: 58 companies. Enterprise Finance: 58 companies. Risk & Compliance: 42 companies. Insurance: 28 companies. Banking & Payments: 19 companies. Wealth Management: 14 companies. Trading & Markets: 11 companies. Research & Data: 10 companies. Crypto & Web3: 5 companies.