AI you can trust — built with regulators in mind

Arva’s AI Model Risk Management framework ensures every model we deploy is transparent, tested, and auditable — aligning with global standards like ISO 42001. Because in compliance, safety is not optional.

AI you can trust — built with regulators in mind

Arva’s AI Model Risk Management framework ensures every model we deploy is transparent, tested, and auditable — aligning with global standards like ISO 42001. Because in compliance, safety is not optional.

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Trusted by authorities worldwide

Arva AI meets rigorous standards set by leading regulatory bodies including FATF, FCA, MAS, OFAC, OCC, AUSTRAC and more. Our commitment to transparency and security enables institutions to scale with confidence.

Trusted by authorities worldwide

Arva AI meets rigorous standards set by leading regulatory bodies including FATF, FCA, MAS, OFAC, OCC, AUSTRAC and more. Our commitment to transparency and security enables institutions to scale with confidence.

Robust benchmarking to measure AI performance

AI can be powerful —
but ungoverned, it’s a liability.

In high-stakes domains like AML, responsible AI deployment is not optional—it’s foundational. Arva has built its platform from the ground up to embed rigorous controls and auditability into every AI-powered decision. Here's how we ensure safe, transparent, and reliable AI operations:

Robust benchmarking to measure AI performance

In high-stakes domains like AML, responsible AI deployment is not optional—it’s foundational. Arva has built its platform from the ground up to embed rigorous controls and auditability into every AI-powered decision. Here's how we ensure safe, transparent, and reliable AI operations:

Strict AI Model Risk Governance

Transparency & Explainability

Human-in-the-Loop Controls

Conservative Decision-Making Philosophy

Multi-Source Validation

Continuous Monitoring and Improvement

Strict AI model risk governance

Arva uses a structured AI model risk governance framework, including pre-deployment testing, benchmark-based validation, and version-controlled releases. Each agent undergoes rigorous evaluation to ensure decisions are accurate, consistent, and aligned with customer expectations and compliance risk profiles.

Strict AI model risk governance

Arva uses a structured AI model risk governance framework, including pre-deployment testing, benchmark-based validation, and version-controlled releases. Each agent undergoes rigorous evaluation to ensure decisions are accurate, consistent, and aligned with customer expectations and compliance risk profiles.

Transparency & explainability

All AI-generated verdicts come with clear, traceable rationale. Analysts can see exactly why a decision was made, including contributing sources, relevance scoring, and narrative cues. This ensures auditability and supports regulatory defensibility.

Transparency & explainability

All AI-generated verdicts come with clear, traceable rationale. Analysts can see exactly why a decision was made, including contributing sources, relevance scoring, and narrative cues. This ensures auditability and supports regulatory defensibility.

Human-in-the-loop controls

Arva maintains robust human oversight through analyst-in-the-loop workflows. Analysts can override or adjust AI recommendations, and every override feeds back into the model's learning cycle. No critical compliance decisions are made without human review where ambiguity exists.

Human-in-the-loop controls

Arva maintains robust human oversight through analyst-in-the-loop workflows. Analysts can override or adjust AI recommendations, and every override feeds back into the model's learning cycle. No critical compliance decisions are made without human review where ambiguity exists.

Conservative decision-making philosophy

Arva’s AI errs on the side of caution. In cases where the signal is weak, ambiguous, or multi-interpretable, the system flags the case for manual review with an “AI Recommended Verdict,” rather than making an autonomous decision.

Conservative decision-making philosophy

Arva’s AI errs on the side of caution. In cases where the signal is weak, ambiguous, or multi-interpretable, the system flags the case for manual review with an “AI Recommended Verdict,” rather than making an autonomous decision.

Multi-source validation

Before assigning risk or relevance, the AI validates information across multiple sources to ensure consistency and credibility. This reduces the likelihood of false positives or biased decisions based on a single unreliable source.

Multi-source validation

Before assigning risk or relevance, the AI validates information across multiple sources to ensure consistency and credibility. This reduces the likelihood of false positives or biased decisions based on a single unreliable source.

Continuous monitoring and improvement

AI performance is monitored in real time and benchmarked against curated datasets. Any model drift or degradation is identified early, with retraining or fallback mechanisms ready for deployment. Analyst feedback is actively used to fine-tune future model behavior.

Continuous monitoring and improvement

AI performance is monitored in real time and benchmarked against curated datasets. Any model drift or degradation is identified early, with retraining or fallback mechanisms ready for deployment. Analyst feedback is actively used to fine-tune future model behavior.

"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

Enterprise-grade security & privacy

Learn more about our compliance and data protection standards

Enterprise-grade security & privacy

Learn more about our compliance and data protection standards

Enterprise-grade security & privacy

Learn more about our compliance and data protection standards

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