Company Database - Bottomline Technologies

 

Bottomline (NASDAQ:EPAY) makes complex business payments simple, smart, and secure. Global organisations rely on Bottomline for domestic and international payments, state of the art fraud detection, insider fraud protection, behavioural analytics, consolidated case management, and regulatory compliance solutions. Bottomline offices are located across the US, Europe, and Asia-Pacific.

CORE SOLUTION

Centralised real-time transaction screening against official sanctions, AML Case Investigation, and overnight KYC catch screening, enabling businesses to identify suspicious transactions and stop payments fast.

Fraud and financial crime hub - decisioning platform

Yes

Transaction fraud

Yes

Account fraud

Yes

ATM fraud

No

Financial crime data provider and intelligence

Yes

AML transaction monitoring

No

KYC/CDD

Yes

KYC remediation

Yes

Digital identity service provider

No

Identity verification 

No

Authentication

No

 

Technology

On-premises

No

Cloud-enabled, native cloud, hybrid

Yes

Native cloud

Yes

Hybrid

Yes

 

DATA INPUT: Identity verification capabilities

Identity document scanning

No

Video scanning

No

Personally Identifiable Information (PII) validation

No

Small transaction verification

No

Email verification

No

Phone verification

No

Social verification

No

Credit check

No

Compliance check

Yes

 

DATA INPUT: Online authentication capabilities

Behavioural biometrics

No

Physical biometrics

No

Device fingerprinting

No

Geo-location

No

Remote access detection

No

Mobile app push

No

3-D Secure 2.0

No

Hardware token

No

SMS One-time passwords

Yes

Knowledge-Based Authentication

Yes

 

DATA INPUT

Abuse list 

No

Financial crime data

Yes

Sanctions data (sanctions, enforcements, PEP, and adverse media)

Yes

Watchlist screening

Yes

Address verification

No

Credit Bureau

No

Information Sharing

Yes

 

DATA INPUT: Intelligence - Data

Stateless Data Ingestion and Augmentation

Yes

 

METHODOLOGY: Machine Learning

Rule-Based

Yes

Supervised ML

Yes

Unsupervised ML

No

Hybrid

No

 

METHODOLOGY: Decisioning

Manual review

Yes

Case management

Yes

Decision orchestration

Yes

BUSINESS MODEL: Pricing and Services

Pricing model

Annual Subscription

Managed service

Yes

Training & Support

Yes

 

CLIENTS

Main clients/references

Yes

Case studies

Yes

Awards

Yes

Future developments

Yes