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100 Listings in Fintech & Payments Available
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33 tools
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IDfy is an identity verification and fraud-prevention platform that helps businesses onboard customers, employees, and partners with confidence. Its APIs and workflows cover KYC, document verification, background checks, video KYC, face match, and fraud detection, combining automation with a large verification network to meet compliance while reducing onboarding friction and fraud. IDfy serves banks, fintechs, gig platforms, and enterprises across regulated onboarding. Pricing is per-verification/enterprise and quoted by volume.
Deployment
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Average price: 100 products listed
Turtlemint is an Indian insurtech platform that helps consumers compare and buy insurance and empowers insurance advisors (PoSPs) with tools to sell policies through its MintPro app. It combines a consumer marketplace for health, motor, and life insurance with a large network of trained advisors, blending digital convenience with human advice. The platform covers insurance comparison and purchase (health, motor, life), the MintPro advisor app for selling and servicing policies, training and certification for advisors, claims support, and analytics, on a free-to-use consumer model (commissions from insurers) and advisor tools that let PoSPs earn. Its advisor-empowerment plus consumer marketplace model differentiates it in Indian insurtech. Turtlemint serves Indian consumers comparing and buying insurance, and insurance advisors and entrepreneurs who want to build an insurance-selling business digitally. Its advisor network, MintPro app, and marketplace make it a leading insurtech platform in India.
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CredAble is a working-capital technology platform that powers supply-chain finance and working-capital programs for enterprises, banks, and financial institutions. It connects anchor corporates with their suppliers and dealers, enabling early-payment, dynamic discounting, receivables and payables financing, digitizing and scaling working-capital flows across the value chain. CredAble serves large enterprises and their ecosystems plus lenders. Commercial terms are program- and volume-based (quote).
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Postpay is a UAE-based buy-now-pay-later (BNPL) provider that lets shoppers split purchases into interest-free installments online and in-store, while merchants get paid upfront. It integrates into checkout across ecommerce platforms and offers a shopping app, targeting the fast-growing MENA appetite for flexible, Sharia-compliant payment options. For merchants, Postpay promises higher conversion and average order value by removing payment friction; for shoppers, transparent installments with no interest when paid on time. Merchant pricing is per-transaction (quote), scaled by volume and category.
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Vitraya builds AI that automates health insurance claims adjudication, enabling near-instant, accurate cashless approvals at hospitals. Its platform reads and interprets medical documents and policy rules to decide claims in real time, cutting the delays, manual effort, and disputes that plague health-claims processing for insurers, TPAs, and hospitals. Vitraya serves insurers, third-party administrators, and hospital networks. Pricing is enterprise/per-claim and quoted by volume.
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BukuWarung is an Indonesian fintech building digital tools for the country's tens of millions of micro, small, and medium businesses (MSMEs). Its app started with simple digital bookkeeping, replacing paper ledgers for warungs and small shops, and expanded into digital payments, QR acceptance, and credit tools that help owners track cash, get paid, and manage their business from a phone. Aimed at first-time digital adopters, BukuWarung is free to start with a focus on simplicity in local language. It monetizes through payments and financial services rather than upfront software fees.
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Column is a nationally chartered bank built for developers that offers direct API access to core banking, payments (ACH, wire, book transfers), account issuing, and lending, without the middleware layers typical of banking-as-a-service. By being the bank and the technology provider, it removes intermediaries between fintechs and the financial system, giving companies more control, transparency, and reliability when building financial products directly on a bank's rails. Column is used by fintechs and software companies that want to build financial products directly on a chartered bank rather than through a BaaS middleware plus separate partner bank. Its direct model reduces layers and points of failure, its developer-focused APIs cover core banking and payments, and its lending capabilities support credit products. For companies wanting to build on the bank itself, Column is a distinctive infrastructure platform.
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CoverWallet, an Aon company, is a digital insurance brokerage that makes it simple for small and medium businesses to compare, buy, and manage commercial insurance online. It connects businesses with multiple top-rated carriers and is licensed across all 50 US states, covering lines like general liability, professional liability, workers' comp, and BOP. Instead of a slow broker back-and-forth, CoverWallet offers instant online quotes, a single dashboard to manage policies and certificates, and advisory support when needed. Getting quotes is free; CoverWallet earns commission from carriers.
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MX is a financial data platform that helps financial institutions and fintechs connect, verify, clean, categorize, and enhance financial data to build better money experiences. Beyond raw aggregation, it enriches transaction data with clean names and categories, provides data connectivity and account verification, and offers tools for personal financial management and insights, helping banks and apps turn messy financial data into useful, actionable experiences for their users. MX is used by banks, credit unions, and fintechs that want not just data connectivity but enhanced, reliable financial data and money experiences for their customers. Its data cleansing and enrichment improve usability, its connectivity links accounts, and its insights power personal finance features. For institutions building data-driven money experiences, MX is a leading platform.
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Rapyd is a global fintech-as-a-service platform that lets businesses collect, disburse, and hold funds across 100-plus countries and hundreds of local payment methods through one API. It bundles payments, payouts, card issuing, and wallets so companies can localize money movement worldwide. Rapyd targets marketplaces, gig platforms, and businesses expanding globally that need broad local payment coverage. Pricing is per transaction and product, quote-based, billed in US dollars.
Deployment
Jai Kisan is a rural fintech platform that provides accessible financial products, loans and embedded finance, to farmers, agri-businesses, and rural enterprises that traditional lenders underserve. Through its "Bharat Khata" and financing infrastructure, it enables asset, invoice, and working-capital financing at the point of rural commerce, using data to assess creditworthiness beyond conventional scores. Jai Kisan aims to formalize rural credit and unlock growth for rural businesses. Terms are product- and quote-based, scaled by borrower and use case.
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Kushki is a Latin American payments-infrastructure company that lets businesses accept and process payments across the region through one integration. Founded in Ecuador and operating across multiple Latin American markets, it connects merchants and platforms to local payment methods, cards, bank transfers, and payouts, handling local acquiring and compliance so companies don't integrate each country separately. The platform covers card processing, local payment methods, bank transfers and cash, payouts and disbursements, and fraud and tokenization, on custom pricing per transaction and by market, quoted to merchants. Its regional coverage and local acquiring across Latin America differentiate it from single-market processors. Kushki serves merchants, marketplaces, and fintechs operating across Latin America that need to accept payments and send payouts in local methods. Its regional infrastructure, local acquiring, and single integration make it a leading payments-infrastructure provider in the region.
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Fintech and payments software powers digital financial services, payment processing, digital banking, lending, wallets, and embedded finance, with the security and compliance that money movement demands. This guide explains what fintech software is, the main categories, how payments work under the hood, and how to choose a compliant, scalable platform.
Fintech and payments software powers digital financial services, payment processing, digital banking, lending, wallets, and embedded finance, with the security and compliance that money movement demands. This guide explains what fintech software is, the main categories, how payments work under the hood, and how to choose a compliant, scalable platform.
Fintech software is the technology that enables digital financial services: accepting and processing payments, moving money, issuing cards, powering digital banks and wallets, underwriting loans, and embedding financial features into other products. It spans consumer apps, business tools, and the infrastructure (APIs) that developers build on.
The purpose of fintech software is to make financial services faster, cheaper, more accessible, and programmable. Instead of manual, branch-based, or legacy-batch processes, fintech platforms deliver real-time payments, instant onboarding, and API-driven money movement with fraud protection and regulatory compliance built in.
The category ranges from payment gateways and processors to banking-as-a-service, lending platforms, digital wallets, and treasury tools. Companies adopt fintech software to accept payments, launch financial products without becoming a bank, reduce fraud and cost, and meet strict standards like PCI DSS, KYC/AML, and regional regulations.
Payments software works by connecting merchants, customers, banks, and card networks. When a customer pays, a gateway securely captures the details, a processor routes the transaction through the card networks and banks for authorization, and funds are later settled to the merchant, with fraud checks and tokenization protecting data throughout.
Broader fintech infrastructure exposes these capabilities as APIs: developers integrate payment acceptance, card issuing, account creation, KYC verification, and money movement into their own products. Banking-as-a-service providers supply the regulated rails so non-banks can offer accounts, cards, and lending under a compliant framework.
For example, a marketplace can use a payments API to accept cards, split payments to sellers, hold funds in escrow, run KYC/AML checks on new sellers, issue payout cards, and reconcile everything automatically, launching financial features in weeks without building banking infrastructure or obtaining its own licenses.
Securely accept cards, wallets, bank transfers, and local payment methods across channels. Reliable processing with high authorization rates and broad payment-method coverage is the foundation, it directly affects conversion and revenue.
Machine-learning fraud detection, tokenization, 3-D Secure, and rules engines protect against chargebacks and abuse. Strong risk management is essential to reduce losses while minimizing false declines that cost sales.
Encryption, tokenization, and PCI-compliant infrastructure protect cardholder data and reduce your compliance scope. Security and compliance are non-negotiable when handling payments and financial data.
Identity verification, sanctions screening, and anti-money-laundering checks onboard customers compliantly. Automated KYC/AML is required to operate financial services and reduces manual review and risk.
Send payouts, split payments, hold balances, and move money across accounts and borders. Flexible money movement powers marketplaces, platforms, and embedded-finance use cases.
Real-time reporting, automated reconciliation, and developer-friendly APIs and webhooks. Clean data and strong APIs let finance teams reconcile accurately and developers build custom financial workflows.
Broad payment methods, high authorization rates, and smooth checkout reduce friction and capture more sales, especially across regions.
APIs and banking-as-a-service let companies launch payments and financial products in weeks instead of building infrastructure or obtaining licenses.
Machine-learning risk tools cut chargebacks and fraud while limiting false declines that cost legitimate revenue.
Automated reconciliation, payouts, and reporting reduce manual finance work and processing costs at scale.
Built-in PCI DSS, KYC/AML, and regulatory support reduce risk and build customer trust in your financial product.
| Type | Best for | Ideal size | Pros | Limitations |
|---|---|---|---|---|
| Payment gateways & processors | Accepting and processing online and in-person payments | Startups to enterprise | Fast to integrate; broad payment-method support | Processing fees; authorization varies by region |
| Banking-as-a-service (BaaS) | Embedding accounts, cards, and payments without a license | Platforms & fintechs | Launch financial products fast under a compliant framework | Dependent on the BaaS partner and sponsor bank |
| Lending & credit software | Underwriting, originating, and servicing loans | Lenders & platforms | Automates credit decisions and servicing | Requires strong risk models and compliance |
| Digital wallets & neobanking | Consumer accounts, wallets, and money apps | Any | Engaging consumer experience and stored value | Heavy regulatory and fraud requirements |
| Treasury & payments infrastructure | Moving, reconciling, and managing money at scale | Mid-market to enterprise | Automates money movement and reconciliation | Complex integration with banks and ledgers |
E-commerce & Retail: Merchants use gateways and processors to accept payments across web, mobile, and in-store with fraud protection.
Marketplaces & Platforms: Platforms use split payments, escrow, KYC, and payouts to move money between buyers and sellers compliantly.
SaaS & Subscriptions: Software companies use billing and payments APIs to manage recurring revenue, dunning, and global tax.
Lending & Credit: Lenders use origination, underwriting, and servicing software to automate credit decisions and collections.
Neobanks & Wallets: Digital-first providers build on banking-as-a-service to offer accounts, cards, and payments.
Financial Services & Wealth: Firms use compliant software for onboarding, KYC/AML, transactions, and reporting.
Gig & Creator Economy: Platforms use instant payouts and card issuing to pay workers and creators quickly.
Insurance & Insurtech: Insurers use payments and disbursement tools for premiums and claims payouts.
Cross-Border & Remittance: Companies use FX and money-movement infrastructure for international payments and settlement.
Confirm support for the cards, wallets, and local payment methods in every market you serve, and check authorization rates and currency support.
Understand processing rates, interchange, fixed fees, FX markups, and any monthly or per-transaction charges, small differences add up at scale.
Verify PCI DSS Level 1 certification, tokenization, and support for KYC/AML and regional regulations relevant to your product.
Assess machine-learning risk scoring, 3-D Secure, chargeback management, and how much control you have over rules.
Evaluate API quality, documentation, SDKs, webhooks, and sandbox testing, integration speed and reliability matter enormously.
If you run a marketplace or platform, confirm split payments, escrow, payouts, and multi-party flows are supported.
Check uptime SLAs, settlement times, and the quality of technical and account support for a system that handles money.
AI is central to fintech, powering real-time fraud detection and risk scoring that adapt to new attack patterns far faster than static rules.
Machine learning improves credit underwriting and collections, expanding access while managing risk, and automates KYC/AML review to reduce manual work and false positives.
Generative AI is transforming financial operations and support, reconciling transactions, answering customer questions, and surfacing insights from financial data in natural language.
Expect agentic finance workflows, embedded AI copilots, and smarter money movement, all within tight regulatory guardrails. Prioritize vendors with explainable models, strong data governance, and proven compliance, since AI decisions about money and credit carry real regulatory and fairness risk.
Fintech software is the technology that powers digital financial services, accepting and processing payments, moving money, issuing cards, running digital banks and wallets, underwriting loans, and embedding financial features into other products. It spans consumer apps, business tools, and developer infrastructure delivered as APIs. The purpose of fintech software is to make financial services faster, cheaper, more accessible, and programmable, replacing manual and legacy processes with real-time, API-driven money movement that includes fraud protection and regulatory compliance. Companies use fintech software to accept payments, launch financial products without becoming a bank, reduce fraud and cost, and meet standards like PCI DSS, KYC, and AML.
Payment processing connects the customer, merchant, banks, and card networks. When a customer pays, a payment gateway securely captures the card or wallet details and tokenizes them. A processor then routes the transaction through the card networks to the customer's issuing bank for authorization, which approves or declines based on funds and fraud checks. If approved, the sale is captured and funds are later settled from the issuing bank to the merchant's account, minus fees. Throughout, fraud tools and PCI-compliant security protect the data. This entire flow happens in seconds, and the merchant sees a simple approved or declined result at checkout.
PCI DSS (Payment Card Industry Data Security Standard) is a security standard that any organization handling card data must follow to protect cardholder information. It covers encryption, access control, network security, monitoring, and regular testing. Compliance levels depend on transaction volume, with Level 1 being the most rigorous. Most businesses reduce their PCI scope by using a PCI DSS Level 1 certified payment provider that tokenizes card data so the raw numbers never touch their systems. When choosing a payments partner, confirm they are Level 1 certified and understand which compliance responsibilities remain yours, since a card-data breach carries severe financial and reputational consequences.
Banking-as-a-service lets non-banks embed financial products, accounts, payment cards, lending, and money movement, into their own apps by building on a licensed provider's regulated infrastructure via APIs. Instead of obtaining banking licenses and integrating directly with core banking systems, a company partners with a BaaS provider (often backed by a sponsor bank) that supplies the compliant rails. This lets software platforms, marketplaces, and fintechs launch financial features in weeks rather than years. The trade-off is dependence on the BaaS partner and sponsor bank, so evaluate their reliability, compliance track record, and the economics carefully before building a financial product on top of them.
Payment processing is typically priced per transaction as a percentage plus a fixed fee, a common baseline is around 2.9% plus roughly 30 cents for online card payments, though rates vary by region, card type, and volume. Some providers use interchange-plus pricing, which passes through card-network costs plus a transparent margin and often works out cheaper at scale. Additional costs can include FX markups on cross-border payments, chargeback fees, and monthly platform fees. When comparing providers, model your actual transaction mix and volume rather than the headline rate, and factor in authorization rates, since a slightly higher-cost processor that approves more transactions can net more revenue.
KYC (Know Your Customer) and AML (Anti-Money Laundering) software verifies customer identities and screens for financial crime, which is legally required to operate most financial services. KYC tools confirm identity using documents, biometrics, and data checks during onboarding, while AML tools screen against sanctions and watchlists, monitor transactions for suspicious patterns, and generate reports for regulators. Automating these checks reduces manual review, speeds onboarding, and lowers compliance risk. When evaluating KYC/AML software, look at verification accuracy, coverage in your markets, false-positive rates, and how well it integrates into your onboarding flow, since overly strict checks add friction while weak ones create regulatory exposure.
There is no single best platform, the right fintech software depends on your business model, markets, volume, and whether you need simple payment acceptance or full financial infrastructure. A small e-commerce store wants easy, reliable card acceptance; a marketplace needs split payments and KYC; a company launching a financial product needs banking-as-a-service. Evaluate providers on payment-method and currency coverage, pricing at your volume, PCI and regulatory compliance, fraud tools, developer experience, and reliability. The best approach is to shortlist providers suited to your model, test their APIs in a sandbox, and validate authorization rates and support before committing to the platform that will handle your money movement.
Preventing payment fraud combines technology and process. Modern payments platforms use machine-learning risk scoring that analyzes hundreds of signals per transaction, tokenization to protect card data, 3-D Secure authentication to shift liability and verify cardholders, and configurable rules to block risky patterns. Address and CVV verification, velocity checks, and device fingerprinting add further layers. The goal is to catch fraud while minimizing false declines that reject legitimate customers. When choosing a provider, assess the sophistication and configurability of its fraud tools, its chargeback-management support, and how much control you have to tune rules for your risk tolerance and customer base.
Reputable fintech software is built with security and compliance at its core, because it handles money and sensitive financial data. Leading providers maintain PCI DSS Level 1 certification, encrypt and tokenize data, and support KYC/AML and region-specific regulations. Many also hold SOC 2 and ISO 27001 certifications. That said, compliance is shared: you must configure the software correctly, meet your own regulatory obligations, and follow secure practices. Before adopting any fintech platform, verify its certifications, understand which compliance responsibilities remain yours, and confirm it supports the specific regulations that apply to your product and markets, since financial regulation is strict and penalties are significant.
