back Back

4 AI-powered platforms reshaping the Czech FinTech space

By Gloria Methri

May 09, 2023

  • AML
  • BNPL
  • Czech Republic
Share

Artificial Intelligence, Machine Learning, RiskTech, AML, KYC, Personal Finance Management, BNPL, Lending, FinTech The financial technology (FinTech) industry has been rapidly growing in recent years, with new innovations constantly emerging to change the way people think about banking, investing, and personal finance.

One of the most exciting developments in FinTech is the use of artificial intelligence (AI) and machine learning algorithms to improve financial services and offer personalized solutions to users.

In the Czech Republic, it is no different than several FinTech start-ups that are bringing the power of AI to disrupt or create new markets. From smart lending to combating financial fraud, the application of technology in finance continues to bring up interesting novel ideas.

Let’s look at four AI-powered FinTech companies in the Czech Republic

Twisto is a leading BNPL service from CEE that provides personal credit line loans to consumers. Its services can also be accessed via an app that is available on iOS and Android devices. Customers can use the Twisto mobile app, to defer their payments, divide them in three installments without fees, split bills with their friends or take care of their invoices.

BudgetBakers is a personal finance management app that uses AI and machine learning algorithms to help users track their expenses and save money. It combines an overview of financial records with features like multiple accounts, sharing with partners or family, debt control, budgets, receipts, warranties, data import and export, and bank integration. The app is available for Android, iOS, and WebApp platforms.

Resistant AI offers AI-enabled KYC and AML solutions for financial institutions. It protects automated decisions against online fraud. It also provides fraud detection for documents including invoices, payroll slips, bank statements, KYC documents, and more. It leverages AI in fraud, risk, operations, and compliance teams, without replacing its client’s existing systems.

Bondster is a peer-to-peer lending platform that uses machine learning algorithms to match investors with borrowers. The platform connects trusted lenders with retail investors and offers users an alternative to traditional investment. Bondster also helps Loan Originators refinance their loan portfolio and provide investors with attractive investment opportunities with high-yield returns.

ALSO READ: Risk Management Systems and Suppliers Report Q1 2023

Previous Article

May 09, 2023

J&T International partners with HeyTap for Logistics Financial Services

Read More
Next Article

May 09, 2023

Danske Bank partners with Axeptia Credit Intelligence

Read More








IBSi Daily News Analysis

Cybersecurity, financial services

May 17, 2024

AML

Most of KSA organizations uses AI in their cybersecurity strategies, study shows

Read More

IBSi FinTech Journal

  • Most trusted FinTech journal since 1991
  • Digital monthly issue
  • 60+ pages of research, analysis, interviews, opinions, and rankings
  • Global coverage
Subscribe Now

Other Related News

Today

SurePay teams up with FIS to deliver Verification & CoP solutions

Read More

Today

SumUp offers Direct Debits for merchants in the UK

Read More

Today

Zwipe taps Ermes srl to distribute biometric access cards in Italy

Read More

Related Reports

Sales League Table Report 2023
Know More
Global Digital Banking Vendor & Landscape Report Q1 2024
Global Digital Banking Vendor & Landscape Report Q1 2024
Know More
Wealth Management & Private Banking Systems Report Q1 2024
Wealth Management & Private Banking Systems Report Q1 2024
Know More
IBSi Spectrum Report: Supply Chain Finance Platforms Q4 2023
Know More
Treasury & Capital Markets Systems Report Q1 2024
Know More

IBSi Sales League Table

The industry acknowledged barometer of global banking technology vendor performance!
Get your copy now!
close-link
Get your copy now! IBSi Sales League Table 2023