Understand what your customers do

Understand what your customers do

Arva’s Business Activities module analyzes company websites, product descriptions, and structured industry codes to verify declared activities — helping compliance teams surface inconsistencies, spot front companies, and assess risk faster.

Arva’s Business Activities module analyzes company websites, product descriptions, and structured industry codes to verify declared activities — helping compliance teams surface inconsistencies, spot front companies, and assess risk faster.

Understand what your customers do

Arva’s Business Activities module analyzes company websites, product descriptions, and structured industry codes to verify declared activities — helping compliance teams surface inconsistencies, spot front companies, and assess risk faster.

TM AI

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Investigating...

AML TX Alert

High value Inbound

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Completed

TM AI

01 of 04

Investigating...

AML TX Alert

High value Inbound

0%

0%

Completed

TM AI

01 of 04

Investigating...

AML TX Alert

High value Inbound

0%

0%

Completed

Featured in

Featured in

Featured in

Key features

Key features

Automated Web Intelligence

Arva’s AI reads the company’s website — detecting if the stated activities align with web presence, product listings, and real business operations.

Automated Web Intelligence

Arva’s AI reads the company’s website — detecting if the stated activities align with web presence, product listings, and real business operations.

Natural Language Matching + Classification

Compares user-declared business activity to live website copy and registry/industry code metadata using NLP and semantic mapping.

Natural Language Matching + Classification

Compares user-declared business activity to live website copy and registry/industry code metadata using NLP and semantic mapping.

NAICS / SIC / MCC Industry Tagging

Automatically extracts and maps to recognized industry taxonomies for consistent risk modeling.

NAICS / SIC / MCC Industry Tagging

Automatically extracts and maps to recognized industry taxonomies for consistent risk modeling.

Risk Flagging & Gap Detection

Flags inconsistencies such as: No website or placeholder text, No sitemap, refund policy, or legal documentation, Unverifiable or unregistered company names

Risk Flagging & Gap Detection

Flags inconsistencies such as: No website or placeholder text, No sitemap, refund policy, or legal documentation, Unverifiable or unregistered company names

Web Activity Analysis

Arva surfaces web traffic activity and checks the legitimacy of the company website to identify any potential threats.

Web Activity Analysis

Arva surfaces web traffic activity and checks the legitimacy of the company website to identify any potential threats.

Physical Location Analysis

Google Street View analysis cross-checks the physical location against the user-provided address and even any publicly available addresses.

Physical Location Analysis

Google Street View analysis cross-checks the physical location against the user-provided address and even any publicly available addresses.

"What impressed us most is how adaptable Arva is to our workflows. It’s not just another tool; it’s become a core part of how we work."

— Scott Elliot, Risk & Compliance Lead at Keep

"What impressed us most is how adaptable Arva is to our workflows. It’s not just another tool; it’s become a core part of how we work."

— Scott Elliot, Risk & Compliance Lead at Keep

"What impressed us most is how adaptable Arva is to our workflows. It’s not just another tool; it’s become a core part of how we work."

— Scott Elliot, Risk & Compliance Lead at Keep

Leaders in AI model risk governance

Leaders in AI model risk governance

Transparent Model Governance Framework

Clear and certified documentation ensuring regulators and customers understand AI decisioning

Independent Validation & Benchmarking

External testing and auditing against industry standards highlight strengths, expose weaknesses, and drives trust

Continuous Monitoring & Drift Detection

Ongoing evaluation pipelines catch performance degradation early, ensuring models remain robust

Human-in-the-Loop Learning

HIL input with reinforcement learning, ensuring trust is built before automation

Transparent Model Governance Framework

Clear and certified documentation ensuring regulators and customers understand AI decisioning

Independent Validation & Benchmarking

External testing and auditing against industry standards highlight strengths, expose weaknesses, and drives trust

Continuous Monitoring & Drift Detection

Ongoing evaluation pipelines catch performance degradation early, ensuring models remain robust

Human-in-the-Loop Learning

HIL input with reinforcement learning, ensuring trust is built before automation

Automate 92% of your financial crime reviews with Arva AI

Power your AML financial crime compliance with an enterprise AI workforce

Automate 92% of your financial crime reviews with Arva AI

Power your AML financial crime compliance with an enterprise AI workforce

Automate 92% of your financial crime reviews with Arva AI

Power your AML financial crime compliance with an enterprise AI workforce