Financial Services
Public Sector
AI Risk Intelligence · Financial Services
Featured Story
What the industry says
2M+
entities evaluated in large-scale agentic deployments
$177.9M
annual savings potential for tier 1 banks - Celent
95%
productivity improvement vs legacy screening
100%
auditability on every decision
What customers say
“We tested several vendors to improve our AML/KYC processes with external data. Quantifind beat out the competition with its strong data science foundation that leads to superior speed and accuracy.”
“Quantifind demonstrated how AI agents could improve the consistency and accuracy of financial crime decisions while reducing manual work by 60%—freeing analysts to focus on higher-value investigations without compromising our risk policies.”
Who We Serve
Purpose-built for institutions guarding the financial ecosystem.
One intelligence platform. Built for the accuracy, scale, speed, and explainability your institution demands.
Solutions
One mission. Find the risk at every stage
Graphyte brings precise, actionable intelligence across the financial crime lifecycle — helping your teams find risk earlier and act faster
The Legacy Tradeoff
You don’t have to choose between efficiency and effectiveness. Get both.
Legacy screening forces an impossible tradeoff. Tune for coverage, and you overwhelm your analysts with noise. Tune for efficiency, and you increase the risk of missing critical threats.
The Noise
Too many alerts that aren't true risk.
- Similar names generate dozens of near-matches
- Fuzzy matching sends legitimate customers to review
- Alert volumes grow faster than teams can investigate
Thousands of alerts. Few that matter.
meanwhile
The Hidden Risk
The real risk never becomes an alert.
- Sanctioned ownership hidden layers deep
- Mule networks disguised as legitimate customers
- Adverse media and relationships your screening can't see
No alert doesn’t mean no risk.
WHO the entity is
Name Science™ resolves the right person, company, or vessel across spellings, aliases, and transliterations. Our Global Name Rarity Model provides a unique precision layer: identifying "Very Rare" names with an 80% probability of uniqueness in a given region, while flagging "Very Common" names shared by 200+ organizations. This is the difference between blocking a payment and blocking your customer.
HOW entities are connected
Network Graph Intelligence maps the ownership and relationships behind every counterparty. Our Quantifind Knowledge Graph (QKG) automates relationship extraction and profile rollups across disparate sources, including 4M+ Chinese companies with international operations and 25k+ sanctioned profiles.
By integrating global company intelligence databases—such as S&P, state-owned entities, and global registries—we provide real-time and batch network expansion to uncover critical FOCI relationship risks.
WHY risk exists
An award-winning typology library and 60+ AI/ML models score the signal for sanctions & enforcement, industry-based risks, criminal typology risk, and network-based risk. Graphyte goes beyond just risk detection and establishes context-based Entity-Risk Relevance.
WHAT action to take
Every decision comes with evidence, source attribution, typology, and confidence. Our reports are ICS-206 compliant, providing a full chain of custody (user, timestamp, and customer) and machine-learning citations that are regulator-ready before they reach the case file.
The Typology Library
Risk has patterns.
Our AI models know them.
60+ AI/ML models score every alert against a living library of financial crime typologies — the ones your regulator reads about in FinCEN advisories.
Sanctions Evasion
Exposure to sanctioned entities
Money Laundering
Links to illicit funds
Human Trafficking
Connections to human exploitation
Fraud
Connections to fraudulent activity
Trade-Based ML
Indicators of concealed identity
Terrorist Financing
Links to terrorist activity
PEPs & Corruption
Political exposure and improper influence
Synthetic Identity
Connections to illegal narcotics
01
Screen the entity
Sanctions, PEPs, watchlists, registries, and adverse media in 9 languages — one query. Graphyte processes 2,000+ searches daily per customer, providing a comprehensive risk lens across global datasets in seconds.
02
Resolve the entity
Our entity resolution models have successfully rescored 400,000+ alerts for major financial institutions, dramatically reducing false positives and clearing years of backlog in weeks.
03
Defend the decision
Evidence attached before model-risk review or the regulator asks. Every report features machine-learning citations and 100% traceable. Every signal is tied to its source and evidence.
Accuracy
fewer false positives, fewer misses
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Speed
answers in seconds, not weeks
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Scale
billions of records, continuously
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Explainability
every signal traces to evidence
Proof You Can Take to the Board
Pilots prove it. On your data, against your incumbent.
$177.9M
in annual alert-processing costs a Tier 1 bank could save across KYC and sanctions alone — independent Celent economic analysis. In production: 90% of risk cases auto-resolved · 96% precision in escalated matches · 2M entities evaluated.
How every number is proven:
Independent analysis
The $177.9M figure is Celent’s math, not ours.
Production deployments
Stats from live enterprise deployments, not labs.
A pilot
Graphyte on your data, benchmarked, before you buy.
