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KYC & Know Your Customer Compliance Solution

Automate KYC onboarding.
Eliminate false
positives at scale.

Most KYC tools match on name strings. Sayari resolves entities – connecting the same person or company across 10.6 billion+ primary-source records, 250+ jurisdictions, and 40+ sanctions lists before the decision is made.

KYC onboarding workflow · automated
01
Entity resolution
Name → resolved entity across 250+ jurisdictions
AUTO
02
Beneficial ownership
3.4× deeper traversal – UBO identification
AUTO
03
Sanctions + PEP screening
40+ lists · <4hr update lag · fuzzy matching
FLAG
04
Risk-scored decision
72% fewer false positives – auto-clear or escalate
CLEAR
72%
False positive reduction
500M+
Companies resolved
40+
Sanctions lists monitored
<4hr
Max list update lag
91%
Risk data remains siloed across the enterprise
of decision-makers say risk data is siloed across teams. For KYC programs, this means ownership verification, sanctions screening, and adverse media run in separate workflows – with no unified entity view.
Source: Sayari Global Executive Survey, 2025
The KYC problem

Name-string matching is broken by design.

Most KYC tools search on name and maybe country. They can’t resolve the same entity appearing under dozens of different corporate registries around the world. They can’t trace beneficial ownership through multiple holding companies. They alert on every near-match and expect your analysts to sort it out.

The result: compliance teams spending 80% of their time clearing false positives rather than investigating real risk.

417%
Surge in enforcement penalties over last 5 years
80%
Analyst time wasted on false positive review
96%
Growth in sanctions list entries since 2015
5+
Layers of shell company obscuring most exposed UBOs

Incomplete beneficial ownership

Public registries report only one or two corporate layers. Real beneficial owners sit 5-8 hops behind holding companies you’ll never surface with a single lookup.

False positive overload

Fuzzy name matches trigger alerts on “John Smith” – every one of them. Analysts spend days clearing noise instead of investigating actual exposure.

Stale sanctions data

Most providers update watchlists weekly or daily. Enforcement agencies update within hours. A 72-hour window is long enough for a transaction to clear unscreened.

No evidence trail

When a regulator audits your decision, “the system said clear” isn’t an answer. You need source-cited documentation for every risk determination.

How Sayari works

Entity resolution. Not keyword matching.

Sayari resolves the person or company – not the string – so every downstream decision is built on a complete picture of who you’re actually dealing with.

Step 01

Resolve, don’t search

Sayari matches your input entity against 10.6B+ records across 250+ jurisdictions – consolidating aliases, transliterations, address variations, and registration numbers into a single canonical identity.

500M+
Entities in the world model
Step 02

Traverse ownership automatically

Automated multi-hop traversal identifies the ultimate beneficial owner – even through 8-layer holding structures – and cross-references every node against all 40+ sanctions lists simultaneously.

3.4×
Deeper than public registry lookups
Step 03

Score, clear, or escalate

Risk scores built on entity resolution – not keyword hits – eliminate 72% of false positives before a human ever sees them. Real matches get escalated with full source documentation attached.

72%
Reduction in false positives
Use cases

Where teams deploy Sayari KYC

Financial Services

Customer onboarding at scale

Run automated KYC checks at onboarding velocity – millions of customers screened with full beneficial ownership traversal, not just name matching.

72% faster onboarding clearance with fewer analyst escalations
Financial Services

Correspondent banking due diligence

Screen correspondent relationships through the entire ownership chain – not just the bank’s name. Identify indirect exposure before you establish the relationship.

Complete ownership picture in minutes, not weeks
Enterprise

Vendor and supplier onboarding

Stop relying on self-reported questionnaires. Independently verify vendor ownership, sanctions exposure, and beneficial control before the first PO is issued.

10× faster than manual third-party due diligence
Government

Beneficial ownership registry compliance

FinCEN CDD Rule, AML Act 2020, EU 6AMLD – all require you to know who ultimately controls the entities you’re dealing with. Sayari makes that traceable and auditable.

Audit-ready evidence trails for every decision
Financial Services

Periodic re-screening programs

Run continuous monitoring across your entire book of business – get alerted when a customer’s ownership structure changes or a new sanctions designation lands.

Real-time alerts within 4 hours of sanctions list updates
Enterprise

M&A target due diligence

Before you close, verify the acquisition target’s full ownership structure and every subsidiary’s sanctions, PEP, and adverse media exposure – globally.

Global entity verification in days, not months
Regulatory coverage

Built for the frameworks that matter.

Sayari is used by teams operating under the world’s most demanding AML and KYC regulatory regimes.

FinCEN CDD Rule
Beneficial ownership identification and verification for covered financial institutions
AML Act 2020
U.S. Anti-Money Laundering Act beneficial ownership registry requirements
EU 6AMLD
Sixth Anti-Money Laundering Directive – enhanced due diligence and beneficial ownership
OFAC / SDN
OFAC-mandated sanctions screening with ownership-based attribution under 50% rule

See it on your customer list.

Request a demo using real counterparties from your onboarding queue. We’ll show exactly where your current KYC process leaves gaps – and what Sayari closes.

FAQ

Common questions about KYC & KYB screening

Beneficial ownership requirements vary by jurisdiction – some require disclosure, others allow nominee structures or bearer shares. Sayari sources corporate registry data directly from government registries across 250+ jurisdictions, resolving ownership chains through multiple layers of corporate structure to identify the ultimate beneficial owner regardless of local disclosure regimes.

Name matching generates false positives because it cannot distinguish between entities with similar names. Primary-source entity resolution uses hard identifiers – registration numbers, tax IDs, registered addresses, and corporate relationships – to deterministically resolve entities. This means fewer false positives, fewer missed connections, and confidence that the entity you’re screening is the entity you think it is.

High false positive rates are the single largest operational burden in KYC programs. Sayari reduces them through deterministic entity resolution on hard identifiers rather than probabilistic name matching, pre-resolved beneficial ownership chains that eliminate redundant lookups, and automated enrichment that adds corporate context before an alert reaches an analyst’s queue.

Yes. For high-risk counterparties flagged during standard screening, Sayari provides deep corporate genealogy – full ownership chains, officer and director networks, related entity maps, trade relationships, and adverse media – all sourced from primary government registries and linked to the resolved entity. This gives EDD investigators a complete picture without manual research across multiple databases.

Periodic KYC reviews create a compliance gap – risk that materializes between review cycles goes undetected. Continuous monitoring eliminates this gap by tracking ownership changes, new sanctions designations, adverse media, and enforcement actions in real time across your entire portfolio. Material changes generate prioritized alerts with evidence, so analysts focus on genuine risk events rather than running scheduled batch reviews.

Resources & Insights

Recommended Resources

Case Study
Top 5 Global Payments Platform
The incumbent KYB solution automated 30% of verifications. Sayari delivered 55% – and closed the fraud gap that legacy tools left open.
Read case study →
Case Study
Global E-Commerce: Merchant KYB Screening
100K+ merchants screened with automated ownership-chain resolution at sub-second latency.
View all resources →