Infrastructure in Banking & Payments
5 companies using infrastructure technology in the banking & payments sector. AI/ML infrastructure, compute networks, and tooling
Directory
Companies by Funding
Stripe
AI-powered payments platform with fraud detection
Metropolis
AI computer vision for checkout-free parking
Orum (Stripe)
AI-optimized instant money movement
Catena Labs
Building payment rails for AI agents
Natural
Payments infrastructure for AI agent transactions
Related
Other AI Technologies in Banking & Payments
Related
Infrastructure in Other Segments
Frequently Asked Questions
How is Infrastructure used in banking & payments?
AI/ML infrastructure, compute networks, and tooling In the banking & payments sector, Infrastructure is applied by 5 companies tracked by AIFI Map, with $11.5B in combined funding. Leading companies include Stripe (AI-powered payments platform with fraud detection); Metropolis (AI computer vision for checkout-free parking); Orum (Stripe) (AI-optimized instant money movement).
Which banking & payments companies use Infrastructure?
The AIFI directory tracks 5 banking & payments companies using Infrastructure, with a combined $11.5B in funding. Stripe, Metropolis, Orum (Stripe), Catena Labs, Natural. (Source: AIFI Map directory.)
What is the most funded Infrastructure banking & payments company?
Stripe is the most funded company using Infrastructure in banking & payments, with $9.8B raised. AI-powered payments platform with fraud detection Followed by Metropolis ($1.6B).
How does Infrastructure compare to other AI technologies in banking & payments?
In the Banking & Payments segment, Infrastructure ranks #4 out of 6 AI technologies by adoption, with 5 companies and $11.5B in combined funding. The most widely adopted technologies in banking & payments are Predictive ML (19 companies, $17.2B funded); LLM / NLP (9 companies, $86.0B funded); Computer Vision (7 companies, $59.1B funded). While Infrastructure focuses on ai/ml infrastructure, compute networks, and tooling, alternative approaches include Predictive ML, which traditional ml algorithms for classification, regression, and scoring models, and LLM / NLP, which large language models for nlp, chat, document understanding, and text generation.