Splitwise VS Shufti

• User-Friendly Interface
  Splitwise provides an intuitive and easy-to-navigate interface, making it straightforward for users to add expenses, keep track of debts, and settle up.
• Multi-Platform Availability
  Available on the web, iOS, and Android, Splitwise ensures users can access and manage their expenses from almost any device.
• Expense Tracking
  The app allows users to easily log and categorize expenses, which can be particularly useful for group trips, shared households, or any shared financial responsibility.
• Flexible Split Options
  Users can split expenses equally, by percentages, shares, or custom amounts, providing flexibility in how costs are divided among group members.
• Currency Conversion
  Splitwise supports multiple currencies, which is handy for international travel or groups with members from different countries.
• Bill Reminders
  The app sends reminders for outstanding balances, helping users to stay on top of their payments and avoid forgotten debts.
• Integration with Payment Platforms
  Splitwise can integrate with payment platforms like PayPal and Venmo for easy settlement of balances.

Possible disadvantages

• Privacy Concerns
  Since Splitwise involves sharing financial information with others, there could be privacy concerns for those unwilling to share detailed expense data.
• Subscription-Based Features
  Some advanced features, such as expense exporting and additional integrations, require a Splitwise Pro subscription.
• Manual Entry Requirement
  Splitwise requires users to manually enter expenses, which could be time-consuming and prone to errors if not done diligently.
• Limited Automatic Reconciliation
  While Splitwise helps track who owes whom, it does not automatically reconcile or pay off balances, leaving users responsible for manual payment.
• Dependency on Group Honesty
  The accuracy of the expense records relies on the honesty and diligence of all group members, which may not always be reliable.
• Potential for Confusion
  The various options for splitting bills (equally, by shares, etc.) can sometimes lead to confusion or disputes among users over what is fair.

• Real-Time Monitoring
  Watches the system continuously and surfaces anomalies as they happen.
• Address Verification
  Checks address data against authoritative government and official databases.
• Online Age Verification
  Verifies a person's age online for e-commerce and restricted-content access.
• Liveness Check
  Confirms a real person is present at the point of verification, not a photo or replay.
• Risk Assessment
  Flags suspicious activity in real time and either alerts your team or declines the transaction outright.
• Name Matching
  Uses fuzzy matching to catch name variants, transliterations and near-misses against risk lists.
• Age Estimation
  Estimates age from a facial image where no document is available.
• Intelligence Reporting
  Gathers data on suspicious sources and the characteristics of repeat fraud attempts.
• Due Diligence
  Runs customer due diligence and enhanced due diligence as part of onboarding.
• Liveness Detection
  Blocks spoofing and presentation attacks, with iBeta PAD Level 3 conformance behind it.
• AI Risk Scoring
  Produces a real-time identity risk score using AI and rule-based logic.
• Document Forensics
  Detects tampered, forged and synthetic documents through forensic analysis.
• ID Analytics
  Holds data on fake and synthetic accounts, scoring users for risk before they get through.
• Alerts
  Notifies administrators the moment fraud is suspected or a transaction is declined.
• Device Tracking
  Records device, IP and geographic data tied to suspected fraud attempts.
• Fraud Markers
  Tags users suspected of fraud and recognises them if they come back.
• Blacklisting
  Blocks users with confirmed fraud history from any future transaction.
• Automation
  Verifies new addresses automatically at the data source as entries are added.
• Reporting
  Produces reports and visualisations on address verification activity.
• Internal Policies
  Applies your own fraud and risk rules alongside regulatory requirements.
• Authentication Methods
  Confirms age through document checks, identification cards, telephone number checks and consumer record matching.
• Models
  Builds behaviour models that detect suspicious activity patterns.
• Suspicious Activity
  Displays suspicious activity by period, risk type, person or organisation.
• Real-Time Dashboards
  Gives compliance teams live views of flagged transactions, people and entities.
• Workforce Authentication
  Connects to IAM systems to verify employees and contractors.
• Customer Authentication
  Connects to customer IAM systems to verify users at login and step-up moments.
• Audit Trails
  Keeps a tamper-proof record of every verification session for regulators and internal review.
• Identity Verification
  Verifies customer identities using documents, biometrics and electronic identity data.
• Document Verification
  Checks identity documents for authenticity and verifies extracted information.
• Business Verification
  Verifies businesses and ownership information to support corporate due diligence.
• AML Screening
  Screens individuals and businesses against sanctions, PEP lists and adverse media.
• Transaction Monitoring
  Analyses financial transactions to identify suspicious patterns and potential financial crime.
• Ongoing AML Screening
  Monitors customers for changes in sanctions, PEP status and adverse media exposure.
• Unified Customer Risk View
  Connects identity, AML, device and transaction signals for a consolidated view of customer risk.
• Bank Account Verification
  Verifies bank account details and ownership to support secure financial transactions.
• Multi-Factor Authentication
  Adds additional authentication checks to protect sensitive account actions.
• Qualified Electronic Signatures
  Supports qualified electronic signatures for agreements and sensitive workflows.
• Electronic Identity Verification (eIDV)
  Verifies identities using electronic records and available identity databases.
• Facial Recognition
  Compares facial biometric information to confirm identity during verification.
• Geolocation Compliance
  Checks user locations against applicable geographic and regulatory restrictions.
• Multi-Accounting Detection
  Identifies signals that may indicate multiple accounts connected to the same user.
• Behavioural Biometrics
  Analyses user interaction patterns to identify unusual behaviour and potential fraud.
• Device Fingerprinting
  Analyses device characteristics to help identify suspicious account activity.
• Capture Integrity Detection
  Detects injected videos, virtual cameras and emulators during identity verification.
• Network Risk Analysis
  Examines IP, proxy and location signals to identify potential fraud risks.
• Multi-Layer Fraud Detection
  Connects document, biometric, device and network signals to uncover fraud attempts.
• Explainable Risk Intelligence
  Provides supporting evidence behind fraud risk scores to help teams investigate suspicious activity.
• AI Agent Identification
  Identifies AI agents interacting with digital platforms to distinguish legitimate agents from impersonators.
• AI Agent Authentication
  Authenticates AI agent identity before allowing them to perform requested actions.
• Human Authorisation Verification
  Checks whether an AI agent is authorised to act for a verified individual or business.
• Delegated Permission Controls
  Evaluates agent actions against approved permissions and business policies.
• Spending Limit Enforcement
  Checks AI agent purchases against approved spending limits.
• Human Approval Workflow
  Requests human approval when an AI agent attempts an action requiring additional permission.
• AI Agent Risk Monitoring
  Evaluates agent requests and activity to identify potential risks.
• Agent Activity Records
  Records AI agent authorisations and activities to support accountability and review.
• Affordability Checks
  Supports affordability assessments for gaming customers where appropriate.
• Flexible Deployment
  Supports cloud, on-premises and hybrid deployment to meet business infrastructure needs.
• Integrated Fraud Protection
  Adds fraud intelligence to existing verification flows without another SDK or API call.
• UBO Identification
  Identifies ultimate beneficial owners to support business verification and due diligence.

Splitwise - iPhone App Review! [2020]

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