Financial institutions and organizations often struggle to identify hidden connections and dependencies among companies and individuals, leading to inefficiencies in sales, increased fraud risk, and time-consuming research processes. Existing CRM systems treat customer data in isolation, failing to reveal the broader network context and potential risks or opportunities.

Palturai's BusinessGraph is a relationship database that uncovers hidden connections within a network of millions of companies and individuals. By consolidating public data into a unique data model, the BusinessGraph enables AI-powered algorithms to identify potential sales leads, assess fraud risks, and streamline research. The platform empowers users to understand the network context of their business partners, revealing previously unknown relationships and dependencies. This allows for more targeted networking, proactive fraud prevention, and faster, more efficient research.

Relationship database mapping millions of companies, people, and their connections

AI-driven algorithms for lead generation, fraud detection, and risk assessment

"Shortest Path" algorithm to identify contacts for warm introductions

"Fraud Prediction Index" to assess the likelihood of fraudulent activity

"Company Sale Prediction" to identify companies likely to be sold

"Distance2Trouble" algorithm to uncover fraud networks

"Cash Events" algorithm to identify companies with recent asset sales

The primary target audience includes banks, insurance companies, and government agencies focused on improving sales efficiency, mitigating fraud, and optimizing research processes.