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What is Arva AI?
Founded in 2024 by Rhim Shah and Oli Wales, Arva AI operates from London and New York and serves regulated financial institutions. Its AI agents automate KYB, AML screening, investigations, transaction monitoring, enhanced due diligence, and related banking operations.
Arva AI is a financial-crime compliance platform for banks, fintechs, credit unions, and other regulated institutions. Its agents research entities across registries, websites, social sources, documents, and other data, then produce risk assessments, explanations, and recommended verdicts. AgentCore provides a controlled learning layer in which analyst feedback and real-world decisions are tested, versioned, and validated before model changes reach production. The platform is designed to fit existing systems rather than require a wholesale replacement.
The product spans onboarding and KYB, sanctions and adverse-media screening, investigations, transaction monitoring, EDD, entity enrichment, ownership analysis, document intelligence, and lending workflows. Arva emphasizes explainability, source-level rationale, multi-source validation, human review for ambiguous cases, versioned models, and complete audit trails. Its public materials report 1M+ monthly reviews and 92% alert resolution. Arva does not publish a self-serve sandbox, public technical integration catalog, or transparent pricing table.
Arva sells to compliance and operations leaders at banks, fintechs, credit unions, crypto and trading businesses, and other regulated firms. Public case studies name OakNorth Bank, Keep, and Tola, while additional studies refer to large US banks, a top-tier US bank, and a unicorn fintech. The company is backed by a $3 million seed round led by Gradient, Google’s AI fund, with Y Combinator and other investors participating. Commercial terms are sales-led and quote-based.
Key features
KYB and onboarding
Automates business verification and low- to medium-risk onboarding by researching entities, ownership, websites, documents, and fraud indicators.
Sanctions screening
Screens entities and activity for sanctions and related risk, with source-linked rationale and analyst review workflows.
Adverse media screening
Finds and evaluates relevant adverse media and reduces alert noise through entity enrichment and multi-source validation.
Investigations and EDD
Builds deeper investigations and enhanced due-diligence analysis across entity type, ownership, business activity, and online presence.
Transaction monitoring
Uses AI agents to review transaction-monitoring alerts and resolve suitable cases automatically while escalating ambiguity.
Decision intelligence
Provides explainable verdicts, confidence, contributing sources, relevance scoring, narrative cues, and complete audit trails.
AI governance
Tests agents against expert-labelled and adversarial datasets, version-controls releases, monitors drift, and incorporates analyst overrides.
Arva AI pricing
Arva AI does not publish prices, packaging, usage rates, or a free plan; buyers are directed to book a demo. Implementation and volume terms must be negotiated with sales.
| Plan | Price | What's included |
|---|---|---|
| Custom | CustomPricing is not published. | Configured AI agents, deployment, support, and commercial scope agreed during a sales evaluation |
Free trial: No public free trial is listed.
Pros & cons
Pros
- Combines onboarding, screening, investigations, EDD, and transaction monitoring agents in one platform.
- Provides source-linked rationale, confidence, audit trails, and human review for ambiguous decisions.
- Public case studies report substantial reductions in false positives and manual review time.
- Formal model evaluation, version control, monitoring, and analyst feedback support AI governance.
Cons
- Pricing, packaging, and usage limits are not publicly disclosed.
- No public self-serve trial or detailed integration catalog is available.
- Many published performance figures are vendor-reported rather than independently audited.
- Enterprise focus and compliance-review workflows may be excessive for smaller, low-volume teams.
Who is Arva AI best for?
- Banks and fintechs processing high volumes of AML, KYB, and screening reviews.
- Compliance teams seeking to reduce false positives while retaining analyst oversight.
- Regulated institutions that need explainable, source-linked AI decisions and audit trails.
- Organizations modernizing onboarding, transaction monitoring, EDD, or investigations across UK and US operations.
Compliance coverage
Integrations
Notable customers
Frequently asked questions
How much does Arva AI cost?
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Arva AI does not publish a starting price, plan table, or free plan. Buyers must book a demo and negotiate scope, deployment, volume, and support terms.
How does Arva AI work and how long does implementation take?
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Its agents research entities and alerts across multiple sources, produce explainable recommended verdicts, and route ambiguity to analysts. Arva does not publish a standard implementation timeline; timing depends on the institution’s workflows, data, and deployment requirements.
How does Arva AI compare with ComplyAdvantage?
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Arva emphasizes AI agents that automate review work across onboarding, screening, investigations, EDD, and transaction monitoring, with a continuous-learning layer. ComplyAdvantage is an established risk-data and screening vendor; buyers should compare data coverage, workflow depth, integration effort, and pricing for their jurisdictions.
What integrations does Arva AI support?
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Arva says its agents deploy into existing systems and has announced a partnership with Fiserv. It does not publish a complete connector catalog, so core-system, case-management, API, and data-residency requirements should be confirmed in procurement.
Who is Arva AI for?
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The target buyers are banks, fintechs, credit unions, crypto and trading businesses, and other regulated institutions. Typical users include compliance operations, onboarding, AML investigations, transaction-monitoring, and model-risk teams.
Is Arva AI secure and accurate enough for compliance work?
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Arva states that it is SOC 2 Type II, ISO/IEC 27001, and ISO/IEC 42001 certified, with transparent audit trails and human-in-the-loop controls. Its trust materials describe benchmark validation, adversarial testing, multi-source validation, conservative escalation, and continuous monitoring; final regulatory decisions remain subject to institutional oversight.
Sources
Facts and pricing verified on October 19, 2026. Vendors change pricing often, so confirm with Arva AI before buying. How we research
