Catching...



UNITE and Conquer

Eliminating Payment Threats All Together

THE PROBLEM

>7,40,000

Cybercrime complaints between
Jan-Apr 2024

₹ 1.2 billion

Lost in 4,599 cases in 4 months of 2024

3.25 lakh

Scamster accounts frozen in 4 months

17.38 billion

Digital Payments per month - July 2024

424 million

Unique UPI users

467 million

Social Media users

Source: I4C, Digidhan mission on India's Digital Payment Ecosystem & RBI data on digital payments

Multi-Layered Threat

Complex Transactions Icon
Complex Transactions

Modern payment systems are increasingly complex, creating exploitable gaps

Volume & Speed Icon
Volume & Speed

The sheer volume and speed of transactions demand more sophisticated monitoring

Social Dynamics Icon
Social Dynamics

The intertwining of social behavior and payments are creating a perfect platform for social engineering scams

THE SOLUTION

01
AI powered ecosystem Intelligence
UNITE's advanced AI models do more than just collect and process data—they analyse and learn from diverse data streams across financial institutions, payment networks, regulatory bodies, and telecom operators
Life cycle risk management
UNITE provides comprehensive risk management across the entire customer & transaction lifecycle (from onboarding, KYC, AML, transaction monitoring) by continuously analysing customer behaviour, monitoring transaction flows and external market intelligence
02
03
Future proofing of emerging threats
The platform is designed not just to address today's challenges but also to anticipate and prepare for emerging threats

PRODUCT FEATURES

Customer
Profiling

Profiling & Controls:
Building a Robust Defense from the Ground Up

Transaction Monitoring

Real-Time & Near real time Transaction Monitoring: Catching Suspicious Activity in the Act

Workflow & Feedback Loop

Enhancing System Intelligence & Responsiveness

Data Sharing & Collaboration

Unified Ecosystem for Enhanced Security: Empowering Stakeholders Through Collaboration

Customer Profiling

Develop comprehensive customer profiles to manage payments life cycle

Data Collection Icon

Data Collection

Aggregate data across FI—customer demographics, transaction patterns, device info, non financial txns

Model Development Icon

Model Development

Utilize AI/ML to classify risk levels and positive behaviour patterns

Controls Icon

Controls

Use model output to build onboarding controls, risk-based limits etc.

Transaction Monitoring

Enhance the scoring model with transaction data, providing a dynamic risk assessment

Data Integration Icon

Data Integration

Combine device, non financial indicators & transaction data for holistic risk management approach

Monitoring Algorithms Icon

Monitoring Algorithms

Detect anomalies like rapid fund transfers or profile-inconsistent transactions

Alerts & Workflow Icon

Alerts & Workflow

Implement real-time & near real time alerts for high-risk transactions, with a feedback loop for model refinement

Workflow & Feedback Loop

Streamline alert management and continuously improve the scoring model with a feedback loop

Alert Management Icon

Alert Management

Define clear processes and roles for handling flagged transactions

Modular Approach Icon

Modular Approach

Create customizable modules for risk and AML teams, as well as tailored solutions like digital KYC alerts for onboarding

Feedback Loop Icon

Feedback Loop

Regularly update the scoring model with new insights, enabling self-learning capabilities

Data Sharing & Collaboration

Create a secure, collaborative platform for data sharing among FIs, networks, regulators, and LE

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Consortium Formation

Unite stakeholders under a common goal with agreements and protocols for data sharing

Data Sharing Mechanism Icon

Data Sharing Mechanism

Implement a blockchain-based platform to anonymize and aggregate data, protecting privacy while providing actionable insights

Negative Data Repository Icon

Negative Data Repository

Build a centralized database of confirmed fraud/scams and suspicious activities

THE TEAM

Shivakumar Sriraman
SHIVAKUMAR SRIRAMAN
Founder & CEO

Ex CRO Visa South Asia & South East Asia, Ex HDFC Bank, HSBC, ANZ & Citibank

Satheesh Ananth
SATHEESH ANANTH
Co-Founder & CTO

Founder & CEO Rage.fan & PeelBlue Inc, Ex Jt. CEO CHiPS Chhattisgarh, Ex CSC & Cognizant

Sundara Raman
SUNDARA RAMAN
Advisor

Data Science Leader Applied Data Finance

Joe Cunningham
JOE CUNNINGHAM
Advisor

Ex CRO Visa Asia Pacific, Technology Strategy & Innovation, Ex CIO, ANZ

Consult with Us

Slide into our inbox anytime, anywhere!

shiva@unitehub.tech

Contact us
Drop a mail to shiva@unitehub.tech