moneythor.com valid
Moneythor
Banking Personalisation Powered by Financial Data
Their llms.txt
The beginning of the file, from our validated copy saved 2026-10-21T15:31:43.773Z. Cached copy · Source on moneythor.com
# Moneythor
> Banking Personalisation Powered by Financial Data
Moneythor is an AI-powered banking personalisation and decisioning platform built specifically for digital banking. It helps banks acquire, activate and engage customers by turning transaction data into real-time insights, recommendations and personalised customer experiences.
This file is a curated map to Moneythor's most useful pages for understanding the company, platform, solutions, proof and thought leadership.
For a complete inventory of public URLs, see the sitemap index.
Sitemap index (full inventory): https://www.moneythor.com/sitemap_index.xml
## Key facts
- Founded in 2013 by three digital banking veterans. Headquartered in Singapore, with primary offices in Singapore and the UAE and additional presence in Japan, Australia, France and the UK.
- Serves banks in 15+ countries, from digital challenger banks to global institutions, across Southeast Asia, the Middle East, Japan, Europe and Australia.
- B2B platform for banks and financial institutions. Not a generic CRM, martech platform, chatbot or standalone PFM tool.
- "Deep Banking" is Moneythor's term for the shift from transactional digital banking to deeper customer relationships, built through personalisation, proactive engagement and beyond-banking experiences such as loyalty, rewards, gamification and referrals.
- Sits between a bank's core systems and its digital channels, adding intelligence without requiring infrastructure change.
- Platform layers: data layer (financial transaction intelligence, behavioural analytics), AI layer (AI-powered insights and prediction, real-time event processing) and engagement layer (engagement orchestration, loyalty and gamification).
- Moneythor Studio: bank-facing back-office tool with no-code tools for business users and low-code scripting for technical analysts.
- Moneythor AI: Predictive AI, Generative AI (including Code Sidekick and Content Sidekick), Conversational AI and Agentic AI. All decisioning logic, eligibility rules and output validation stay under the control of the bank's own teams.
- 150+ pre-built use case templates, deployable via a channel-agnostic API.
- Deployment: SaaS, private cloud, public cloud or on-premise. Documented HTTP/JSON API and Kafka streaming endpoints. Core banking system-agnostic. Most banks go live within 3 to 6 months.
- Certifications: ISO 27001 and AICPA SOC 2 Type II.
- Customers named on moneythor.com include DBS, ANZ, BNZ, NAB, Trust Bank, Old Mutual, FAB, Booster, Tameed, Chiba Bank and The Ogaki Kyoritsu Bank (OKB).
- Published results include: Trust Bank (Singapore) acquired 700,000 customers, with 70% of new customers acquired through referrals and acquisition costs 7x lower than competitors; a 25% increase in active customers; 2.3x more card transactions among offer users; and 15% to 30% engagement rates on personalised insights, compared with 1% to 2% for banner-based communications.
## Start here
- https://www.moneythor.com
…
Machine-readable: GET /v1/resolve?q=moneythor.com · GET /v1/domain/moneythor.com · this page as Accept: application/json or text/markdown · MCP lookup_domain
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