Banking Solution

Knowledge-Powered

We leverage knowledge graphs, AI, and machine learning to enable banks to gain insights from their vast amounts of data, enhancing customer experience, risk management, compliance, and operational efficiency.

Banking Solution

Knowledge-Powered

We leverage knowledge graphs, AI, and machine learning to enable banks to gain insights from their vast amounts of data, enhancing customer experience, risk management, compliance, and operational efficiency.

Query and analyze data

from disparate sources, facilitating insights for compliance, customer intelligence, and more.

Equitus KGNN is a cutting-edge Knowledge Graph solution highly suited for the financial industry. By leveraging semantic technologies and machine reasoning, Equitus AI empowers your organization to integrate knowledge efficiently, enhance compliance management, ensure data quality, detect fraud, and provide personalized recommendations.

We provide a scalable graph database platform for deep link analysis, which is crucial for fraud detection, anti-money laundering (AML), and customer relationship management in banking.

Knowledge Unification

Transforming Disparate Data into Collaborative Intelligence

Compliance Management

Streamlining Compliance Through Intelligent Data Integration

Data Quality

Ensuring Excellence in Data Throughout Its Lifecycle

Fraud Detection

Real-Time Unveiling of Complex Fraud Schemes with AI

Personalized Recommendations

Tailoring Experiences with Contextual Knowledge Insights

Equitus AI: Enhancing Financial Institutions with Data Solutions

Drive efficiency and innovation across banking operations with our knowledge graph platform's contextual integration, compliance optimization, data lifecycle management, fraud detection, and recommender system capabilities.

Info Circle

Anti-Money Laundering (AML)

Identify suspicious financial activities, networks, and patterns by integrating transaction data, customer data, watchlists, and other sources.

Fraud Detection

Uncover intricate fraud schemes by analyzing financial transactions, customer behavior, and external data feeds. Utilize our advanced machine learning and reasoning capabilities to identify fraudulent patterns efficiently in real-time.

Customer 360

Gain a comprehensive view of each customer by consolidating data from core banking systems, CRM, social media, and other sources like KYC, due diligence, and investment research for a 360° view of risk and value.

Risk Management

Assess risks more accurately by correlating financial data with market data, news, regulatory information, and seamlessly connecting diverse data sources.

Compliance Optimization

Streamline regulatory reporting, trade surveillance, and insider trading surveillance through semantic data integration and complex rule application.

Data Lifecycle Management

Data Lifecycle Management: Track data lineage, manage metadata effectively, and ensure data quality during processes like risk data aggregation and master data management.

Recommender Systems

Enable fact-based recommendations through contextual knowledge accumulation for conversational commerce, customer service chatbots, and personalized product recommendations.

ANTI-MONEY LAUNDERING (AML)

Identify suspicious financial activities, networks, and patterns by integrating transaction data, customer data, watchlists, and other sources.

FRAUD DETECTION

Uncover intricate fraud schemes by analyzing financial transactions, customer behavior, and external data feeds. Utilize our advanced machine learning and reasoning capabilities to identify fraudulent patterns efficiently in real-time.

CUSTOMER 360

Gain a comprehensive view of each customer by consolidating data from core banking systems, CRM, social media, and other sources like KYC, due diligence, and investment research for a 360° view of risk and value.

RISK MANAGEMENT

Assess risks more accurately by correlating financial data with market data, news, regulatory information, and seamlessly connecting diverse data sources.

COMPLIANCE OPTIMIZATION

Streamline regulatory reporting, trade surveillance, and insider trading surveillance through semantic data integration and complex rule application.

DATA LIFECYCLE MANAGEMENT

Data Lifecycle Management: Track data lineage, manage metadata effectively, and ensure data quality during processes like risk data aggregation and master data management.

RECOMMENDER SYSTEMS

Enable fact-based recommendations through contextual knowledge accumulation for conversational commerce, customer service chatbots, and personalized product recommendations.

Explore How a Data Unification Platform Can Empower Banking and Finance Companies

Disruption Drivers

Flexible Data Ingestion

Connect and ingest data from a wide range of sources with ease, including databases, files, APIs, and more.

Automated Data Transformation

Our natural language processing capabilities automatically extract entities, relationships, and context from unstructured and semi-structured data.

Open-Source Ontology Mapping

Map your data to an open-source, industry-standard ontology or create custom ontologies tailored to your specific needs.

Secure Multi-Domain Support

Robust security labeling and access control ensure data is properly segregated and accessible only to authorized users.

Gain Deeper Insights
Through Advanced Analytics

Gain Deeper Insights Through Advanced Analytics

With your data unified in a knowledge graph, you can perform complex queries, uncover hidden connections, and derive valuable insights that would be impossible with traditional data stores.

Game-Changers:

Utilizing Data Unification to Enhance Risk Management

Why EQUITUS AI Platform?

Why EQUITUS AI Platform?

Unleash the full potential of your data and gain a competitive edge with our knowledge graph platform.

Contact us today to learn
more and schedule a demo.

Contact us today to learn
more and schedule a demo.