Predictive ML in Crypto & Web3
5 companies using predictive ml technology in the crypto & web3 sector. Traditional ML algorithms for classification, regression, and scoring models
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Companies by Funding
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Other AI Technologies in Crypto & Web3
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Frequently Asked Questions
How is Predictive ML used in crypto & web3?
Traditional ML algorithms for classification, regression, and scoring models In the crypto & web3 sector, Predictive ML is applied by 5 companies tracked by AIFI Map, with $2.7B in combined funding. Leading companies include Revolut (AI-powered financial super app); Persona (AI identity infrastructure platform); ComplyAdvantage (AI-powered AML data and screening).
Which crypto & web3 companies use Predictive ML?
The AIFI directory tracks 5 crypto & web3 companies using Predictive ML, with a combined $2.7B in funding. Revolut, Persona, ComplyAdvantage, Unit21. (Source: AIFI Map directory.)
What is the most funded Predictive ML crypto & web3 company?
Revolut is the most funded company using Predictive ML in crypto & web3, with $2.0B raised. AI-powered financial super app Followed by Persona ($418M).
How does Predictive ML compare to other AI technologies in crypto & web3?
In the Crypto & Web3 segment, Predictive ML ranks #5 out of 8 AI technologies by adoption, with 5 companies and $2.7B in combined funding. The most widely adopted technologies in crypto & web3 are Infrastructure (28 companies, $1.1B funded); Agentic AI (8 companies, $153M funded); LLM / NLP (7 companies, $85.3B funded). While Predictive ML focuses on traditional ml algorithms for classification, regression, and scoring models, alternative approaches include Infrastructure, which ai/ml infrastructure, compute networks, and tooling, and Agentic AI, which autonomous ai agents that execute actions independently.