Why Quantifind

Better science, higher accuracy, modern tools, relevant data.

Effective automation demands them all.

AML-KYC operational costs continue to increase every year. A complete automation solution that leverages AI to fully capture the value of external data in detecting, assessing, and investigating risk can help turn the tide.

Mission-Critical Performance

Quantifind has been helping banks, Fortune 50 companies, and the US Government gain insights from unstructured public data for over a decade.

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So much data, so little time

Risk Screening

Challenge

Take a complex regulatory environment and growing volume of financial transactions, and you end up with an increasingly unwieldy risk screening challenge.

Graphyte satisfies all external data search requirements from a single platform and user interface, with search and entity resolution across negative news, company data, sanctions, PEPs and watchlists, court and arrest data, and programmatic search, with extreme scalability, seamless integrations, and modern, purpose-built investigation and reporting tools. The result is a complete picture of a subject at the click of a button or the call of an API.

Investigations teams are overwhelmed

Investigations

Challenge

Investigators have a difficult job, made more so when they’re relying on Google or outdated tools.

Graphyte includes modern investigation applications purpose-built for financial crimes investigations. Their accuracy and rich feature set drive gains in efficiency and productivity by over 40%. It’s a pure-SaaS solution with no client PII data stored and none sent to offshore teams beyond governance jurisdiction.

Alert backlogs keep growing

Alerts Management

Challenge

Transaction alerts can accumulate, especially when risk assessments are inaccurate or investigations teams understaffed.

Graphyte’s accuracy and scalability enables banks to clear backlogs in a fraction of the time it might take a large team six months with inferior data and tools. Quantifind has helped banks clear millions of alerts overnight.

Periodic checks don’t catch risks in time

Credit Risk

Challenge

Without automation, it is becoming virtually impossible to monitor with sufficient frequency to detect risks before they become a problem.

With best-in-class scalability, risk assessment accuracy, and a wide range of granular risk typologies, Graphyte achieves a level of predictive power that enables intensive, targeted monitoring for credit risk and financial crime across the entire customer base.

10K

data sources

30M

articles searched

200

searches per minute

2x

case-to-SAR rate

10-100x

fewer false positives

Over a decade of successful engagements, from Tier 1 banks to the Department of Defense

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Financial Services

Graphyte is used by banks globally to help streamline their risk screening and investigations throughout their KYC and AML compliance workflows

More about Financial Services

PUBLIC SECTOR

Law enforcement agencies and the US Department of Defense use Graphyte to leverage open source data and gain entity-level risk intelligence as part of investigations of criminal suspects and networks

More about Public Sector

Graphyte for adverse media screening offers big advantages over traditional approaches

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quantifind VS. Legacy Technologies

90% fewer false positives

Superior accuracy eliminates the vast majority of false positives that would otherwise require investigation, making daily monitoring for tens of thousands of customers possible.

vs. Massive investigations teams

Some solutions sold as “software” rely on large analyst teams to compensate for high false-positive rates, an expensive approach prone to turnover and other staffing challenges.

Real-time search on live data

Graphyte does not rely on internally managed and curated lists of names that get outdated quickly and also lead to potential data privacy and security concerns.

vs. Stale data and security hazards

Human-curated watchlists get stale quickly and require storage of personal data that leads to security liabilities.

Native foreign-language search support

Quantifind’s unique design allows for search of native foreign language content with non-Roman character sets, including Chinese. New languages can be 
easily added.

vs. Machine translation inaccuracy

Most solutions offering search of foreign languages are doing search of machine-generated translations using Romanized character sets.

AI-driven risk typologies

Dynamic, granular risk typologies allow searches to evolve with emergent threats, and their granularity enable specific targeting, such as for extortion, child exploitation, or elder abuse.

vs. Static risk definitions

Static risk definitions miss new types of risks and can’t be programmed dynamically to target granular risks of interest.

Signs you need
to incorporate
automation in
your KYC-AML
initiatives

Learn More
icon for Your costs are growing
Your costs are growing

You’re not alone. KYC-AML operational costs are growing by 20% annually. Automation can help turn the tide.

icon for Your analysts are Googling
Your analysts are Googling

Google is great for lots of things, but not so great for investigations. A single purpose-built application covering all adverse media in a single UI is far more efficient.

icon for Your alert backlogs are enormous
Your alert backlogs are enormous

It can be difficult to keep up with alerts, especially when they’re full of false-positives and low-risk transactions. Automation with highly accurate risk assessments can help clear them overnight.

icon for You’re focused on last year’s risks
You’re focused on last year’s risks

Occasional adverse media checks can delay recognition of risk by months or more. Automation can help ensure timely alerting before it’s too late.

icon for Your processes and reporting are inconsistent
Your processes and reporting are inconsistent

Without well-defined processes, results and reporting can vary widely across analysts and over time. Automation makes them more consistent.

icon for You’re missing new and emerging threats
You’re missing new and emerging threats

A static approach to risk definition, where only outdated types of risks can be detected, can lead to misses. Dynamic, AI-driven risk typologies keep your targeting up to date.