AI TOOL PROFILE
DataWalk: Graph and AI Investigation Software
- Data and Analytics
- Analytics and Reporting
- Financial institutions
- Government agencies
- Law enforcement agencies
- Defense organizations
- Enterprise compliance teams
Pricing
Pricing was not clearly available from the provided evidence. Buyers should confirm current pricing on the vendor website.
At a glance
- Best for
- Financial institutions, Government agencies, Law enforcement agencies, Defense organizations, Enterprise compliance teams
- Key use cases
- Anti-Money Laundering (AML), Fraud Detection, Cryptocurrency Investigation, Know Your Customer (KYC), Threat Intelligence
- Official website
- Visit datawalk official website
How AI is used
DataWalk is an investigation platform that combines graph analytics, machine learning, and knowledge graphs to help users identify connections between people, organizations, and events. It is designed to fuse structured and unstructured data into a single contextual source of truth.
The software is built for large-scale operations in banking, government, defense, and law enforcement. It supports high-volume data environments, including classified or air-gapped systems, where identifying organized crime networks or fraudulent activity is a priority.
Buyers can use the platform for various intelligence tasks, such as KYC, anti-money laundering, and cryptocurrency tracking. The platform uses a no-code approach, which is designed to let analysts run complex queries and graph algorithms without requiring programming expertise.
Prospective buyers should confirm if their technical infrastructure aligns with the platform's enterprise-scale requirements.
Key Features
Knowledge Graph
Organizes structured and unstructured data into a contextual source of truth to help reveal relationships between business objects.
Entity Resolution
Supports synthesizing identities across datasets to provide a consistent view of real-world entities.
Link Analysis
Visualizes transaction flows and helps identify hidden connections and organized crime networks.
No-Code Querying
Allows users to generate complex queries and run graph algorithms without writing code.
Graph Analytics
Includes algorithms such as page rank and closeness centrality to identify connections and clusters.
Data Fusion
Integrates disparate data sources into a unified ontology-driven environment.
Use Cases
Anti-Money Laundering (AML)
Supports the identification of suspicious transaction flows and hidden financial connections.
Fraud Detection
Uses graph algorithms and ML models to identify clusters and patterns associated with organized fraud.
Cryptocurrency Investigation
Correlates internal data with Bitcoin transaction data and known entity databases.
Know Your Customer (KYC)
Helps create contextual profiles of customers and counterparties via a built-in knowledge graph.
Threat Intelligence
Fuses HUMINT, SIGINT, and sensor feeds to identify threats in national security contexts.
FAQ
Who is DataWalk designed for?
- It is designed for enterprise-scale organizations, including banks, insurance companies, law enforcement, and national security agencies.
Does DataWalk require coding skills for analysis?
- The platform provides no-code facilities for querying and running graph algorithms, which may help analysts work without learning a new programming language.
Can DataWalk be used in secure or isolated environments?
- Yes, it is designed for open, classified, and fully isolated air-gapped environments.
Source category: Data & Analytics
Source subcategory: Analytics & Reporting
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