Industries

Banking

  • Challenge

    Monitoring AML/KYC, credit risk, and other processes is essential for financial institutions with international portfolios. Doing so in near real time requires automated risk-detection.

  • Solution

    SV’s systems can simplify the due diligence process to perform historical analysis for any number of corporations of interest in customized time intervals, making it easy to detect new risks or opportunities.

  • Benefits

    SV’s systems provide a high-level of accuracy compared to other solutions and will not overwhelm teams with large amounts of irrelevant information.

Semantic Visions provides tailored solutions to efficiently and automatically navigate risk in the banking sector. Our fully-customizable solutions include:

Credit Risk

Perform near real-time and early detection of credit risk relevant events, from legal disputes to management changes.

AML-KYC

Verify business-relationship risks, from poor credit to money laundering activities.

TPRM

Screen new clients and potential third parties for a wide variety of risk domains, including anti-bribery and corruption; health, safety, and environment; and financial insolvency.

ESG

Monitor the environmental, social, and governance performance of clients, vendors, partners, and competitors.

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Governments / Non-Commercial Companies and Agencies

Governments and agencies use SV’s AI to filter information noise, identifying geopolitical events with strategic implications and tracking disinformation trends.

News and Media

Journalists use SV's AI to track stories and filter global media, providing real-time alerts and dashboards for updates.

Manufacturing and Consumer Goods

Global companies in manufacturing and consumer goods use AI to monitor performance, manage risks, comply with regulations, and enable real-time supply chain insights.

Investment and Hedge funds

Investment managers use SV’s systems to access real-time global research, converting web data into actionable intelligence for precise investment strategies.