Arva AI provides enterprise‑grade AI agents that automate end‑to‑end review of AML, sanctions, KYC and transaction‑monitoring alerts, resolving up to 91% of cases without human intervention. The platform integrates via API, UI overlay or batch import, delivers real‑time audit trails and explainable decisions, and scales horizontally to process millions of alerts per month for regulated financial institutions.
Funding
$3M raised to dateRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.
Founders
Product
Problem
Financial institutions must process large volumes of AML, sanctions, KYC, and transaction monitoring alerts, which traditionally rely on manual review teams. This approach is labor‑intensive, prone to inconsistent risk assessments, and difficult to scale during peak activity periods.
Solution
Arva AI delivers enterprise‑grade AI agents that automate the end‑to‑end review of financial crime alerts across screening, KYB/KYC, and transaction monitoring. The platform ingests alerts, applies proprietary deep‑web intelligence (Arva Intel) and machine‑learning models, and resolves the majority of cases without human intervention while adhering to each client’s standard operating procedures. Results are logged with full audit trails, enabling regulators and auditors to trace decision logic. Seamless integration options—including a developer‑first API, UI overlay, or manual interface—allow rapid deployment into existing AML stacks. Continuous model risk governance, including benchmark testing, drift detection, and human‑in‑the‑loop reinforcement learning, ensures performance remains robust over time. The solution scales horizontally to handle millions of alerts per month, providing instant straight‑through processing and reducing operational costs.
Target Audience
The primary customers are regulated banks, credit unions, fintech firms, and crypto‑trading platforms that need to automate AML, sanctions screening, and KYC compliance at scale.
Features
- AI‑driven screening agent that evaluates sanctions, adverse media, and PEP lists with up to 91% alert resolution
- KYB/KYC agent leveraging deep‑web crawling to enrich entity profiles, map ownership structures up to 15 layers deep, and verify incorporation documents
- Transaction monitoring agent that contextualizes transaction patterns, applies typology‑specific rules, and resolves up to 86% of AML alerts
- Plug‑and‑play integration via RESTful API, UI overlay, or batch import, compatible with major AML platforms and core banking systems
- Model risk governance framework featuring independent validation, continuous drift monitoring, and reinforcement‑learning feedback loops
- Enterprise‑grade security and compliance certifications (SOC 2 Type II, ISO 42001) with end‑to‑end encryption and role‑based access controls
- Real‑time audit trail and explainable AI outputs that satisfy regulator‑mandated traceability requirements
- Horizontal scalability architecture that processes hundreds of thousands of alerts concurrently without performance degradation