Oscilar

What it does

Oscilar is a risk decisioning platform for banks, fintechs, credit unions, sponsor banks, and digital asset firms. It combines AI agents, machine learning models, and a rules engine to handle detection, decisions, and resolution across fraud, credit, onboarding, and AML compliance, with explainable decisions and full auditability.

Teams build risk workflows and policies in plain language or with a no-code interface, then backtest them against historical data before deployment. Its Agent Hub provides review agents for fraud and AML alerts, sanctions, PEP, and adverse media screening, KYC and KYB briefs, SAR and case narratives, and document extraction. A device and behavioral intelligence layer adds network, session, and behavioral signals, and analyst feedback is used to refine agent recommendations.

Oscilar suits risk, fraud, and compliance teams at regulated financial institutions that need audit trails and human governance over automated decisions. Access is through a sales-led demo request. Weigh the need for confirmed labels to get full value from the models, and expect implementation work with the vendor for integrations and pilots.

What it can do

• Build and deploy risk workflows and policies using natural language or no-code tools, with test cases and backtesting on historical data
• Score alerts and generate investigation narratives, KYC and KYB review briefs, and case summaries for analysts
• Device and behavioral intelligence with network, session, and behavioral signals for fraud detection at onboarding, login, and payments
• Fraud network detection that surfaces coordinated rings across accounts and cases
• Document extraction with confidence-scored fields and in-platform translation
• Analyst feedback loop that refines agent recommendations over time

Works with

• One-line SDK for web and mobile applications
• Pre-built platform connectors for major fraud prevention platforms (named connectors not listed)
• Flexible APIs and Oscilar MCP for working from AI tools

Before you choose

• Most value depends on confirmed labels flowing back; results vary by dataset and use case.
• Decisions remain under human governance with role-based access control; agents recommend rather than fully replace analyst decisions.
• Pricing and contract terms are set through sales; confirm scope and implementation effort before committing.

Listed under

• Finance
• AML compliance
• Banks
• Credit underwriting
• Fintech
• Fraud detection
• KYC onboarding

Get started

Prospects request a demo or contact sales; no self-serve signup is documented.

1. Request a demo through the Contact Sales route on the contact page.
2. Connect data sources and deploy the lightweight SDK or APIs into your web or mobile applications.
3. Define policies in plain language or with the no-code builder, then backtest against historical data before deployment.

Contact sales for pricing and contract terms.

We couldn’t find published prices for Oscilar. See their pricing page ↗

Sources for this overview

Product pages, documentation, and pricing checked 29 Oct 2026. Each source supports part of the overview; availability and prices can change.

• AI Risk Decisioning Platform for Fintechs & Banks - Oscilar ↗oscilar.com
• Device & Behavioral Intelligence Platform - Oscilar ↗oscilar.com
• AI Risk Decisioning Platform for Fintechs & Banks - Oscilar ↗oscilar.com
• Contact Oscilar - Oscilar ↗oscilar.com
• Why Oscilar Built a Tabular Foundation Model for Fraud ↗oscilar.com

Company website

oscilar.com: product, pricing and policy pages

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Human review

Checked by a person

knowledge_base

manual_review

Last checked 29 Oct 2026. Every field keeps its source and date; unknown means we couldn’t confirm it.