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
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
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
Transparent Model Governance Framework
Clear documentation ensures regulators, customers, and stakeholders understand how AI decisions are made.
Continuous Monitoring & Drift Detection
Ongoing evaluation pipelines catch performance degradation early, ensuring models remain reliable in dynamic real-world environments.
Human-in-the-Loop Risk Controls
Expert oversight and layered validation safeguard against errors, blending machine efficiency with human judgment.
Independent Validation & Benchmarking
External-grade testing and comparison against industry standards highlight strengths, expose weaknesses, and drive trust.
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