Oscilar
Oscilar is an AI-powered, no-code risk decisioning platform designed specifically to assist fintech companies in managing various types of risks including fraud...
Last verified:
What is Oscilar?
Oscilar is an AI-native, agentic risk decisioning platform designed for financial institutions, fintechs, banks, and digital organizations to manage fraud, credit, onboarding, and AML compliance risk in real time. It unifies fragmented point solutions into a single end-to-end platform that handles detection, decisions, and resolution across the entire customer journey—from onboarding through login, payments, and ongoing account monitoring.
Key features include: a real-time data fabric with 100+ integrations for 360-degree user/transaction views; device and behavioral intelligence with 1000+ markers and behavior biometrics; no-code/low-code AI-powered workflow builder with natural language policy creation; ensemble ML models combining supervised learning, unsupervised anomaly detection, and rules; built-in backtesting and A/B testing; explainable AI case management with intelligent queues and visual insights; and the Agent Hub with 20+ purpose-built risk agents (Translator, CTR, Narratives, AML L1, SAR, Sanctions, Fraud Dispute, Credit Explainability, etc.) that work 24/7 with human-in-the-loop oversight.
Oscilar is specifically built for fraud teams, compliance/AML teams, credit risk teams, and risk operations at financial institutions. It prevents onboarding fraud, account takeovers, payment fraud, synthetic identities, BEC attacks, money mule networks, ACH chargeback fraud, and first-party fraud. The platform delivers 45% fewer false positives, 5x faster policy deployment, 3x faster case resolution, and 30-50% reduction in manual review time.
The platform includes Visual Network Analysis using graph analytics to uncover relationships across devices, users, IP addresses, phone numbers, transactions, crypto accounts, and SSNs. It supports multiple payment types (ACH, cards, wallets, SWIFT) and is GDPR-compliant, SOC 2 Type 2 certified, ISO 27001 compliant, and PCI DSS certified with AES-256 encryption.
Oscilar pricing
Pricing model: Free
Oscilar does not offer a free tier, free trial, or freemium version. Pricing is not publicly disclosed and requires contacting sales for custom enterprise quotes. Based on vendor data, the average annual cost is approximately $90,000-$91,280, with minimum pricing varying based on company needs and maximum prices around $140,000. An optional setup fee may apply. The platform includes all features: AI agents, device/behavioral intelligence, ML models, case management, visual network analysis, and 100+ integrations. No premium consulting or integration services are offered separately.
Oscilar pros
- Unifies fraud, credit, onboarding, and AML compliance on one platform
- No-code drag-and-drop interface for building risk workflows
- Natural language policy creation without SQL or engineering
- 20+ purpose-built AI agents out-of-the-box across risk domains
- 100+ integrations for 360-degree user and transaction views
- 1000+ device and behavioral markers for fraud detection
- Built-in backtesting and A/B testing for KPI optimization
- Explainable AI with full audit trails and clear decision reasoning
- Human-in-the-loop approach keeps experts in control
- 45% fewer false positives than traditional systems
- 5x faster policy deployment compared to legacy systems
- 3x faster case resolution with AI summaries and visual insights
- 30-50% reduction in manual review time
- 25% decrease in false positives for mid-size institutions
- $2-5M annual operational cost savings for mid-size financial institutions
- Models retrain in days as risk profiles evolve, not months
- Supports bring-your-own-custom-models capability
- Visual Network Analysis uncovers criminal associations across data points
- Optimized for multiple payment types: ACH, cards, wallets, SWIFT
- SOC 2 Type 2, ISO 27001, PCI DSS, and GDPR compliant
Oscilar cons
- No free trial available
- No free/freemium version offered
- Pricing unavailable publicly—enterprise custom quotes only
- Average annual cost around $90,000 (high for smaller organizations)
- Maximum price can reach $140,000 annually
- Optional setup fee adds to initial costs
- Specialized agents like AML Alert Triage take 2-4 weeks to deploy
- Primarily designed for enterprise financial institutions, not small businesses
Frequently asked questions about Oscilar
How does Oscilar AI differ from traditional rule-based systems?
Unlike static rule engines, Oscilar AI uses bounded, goal-based agents that adapt to changing threats in real-time. The agents identify patterns humans might miss, suggest rule optimizations, and predict emerging fraud tactics while providing clear explanations for every decision. It evolves from a checklist approach to having an expert risk analyst working 24/7.
Will AI agents make decisions without human oversight?
No. Oscilar AI operates on a human-in-the-loop principle. While agents automate routine tasks and provide recommendations, critical decisions like blocking accounts or changing risk thresholds always require human approval. Users maintain full control while benefiting from AI's speed and scale.
How quickly can we implement Oscilar AI?
Most teams see value within days. Expression Generation and Workflow Copilot work immediately with existing data. Specialized agents like AML Alert Triage typically deploy within 2-4 weeks, learning from historical data to provide tailored insights. The Docs Agent guides users through the entire process.
How does Oscilar AI ensure compliance and prevent bias?
Every AI model undergoes rigorous testing for bias and disparate impact before deployment. All decisions include audit trails showing exact reasoning, data sources, and confidence levels. The governance framework ensures changes pass through proper review channels, and continuous monitoring for model drift maintains accuracy and fairness.
Can Oscilar AI work with existing tools and data?
Absolutely. Oscilar AI integrates with current data sources, case management systems, and compliance tools. The agents enhance rather than replace existing infrastructure, learning from unique data patterns while respecting established workflows and governance processes.
What ROI can we expect from Oscilar AI?
Customers typically see 30-50% reduction in manual review time, 25% decrease in false positives, and significantly faster rule deployment. For a mid-size financial institution, this often translates to $2-5M annual savings in operational costs while improving customer experience through reduced friction.
What types of fraud does Oscilar detect?
Oscilar detects onboarding fraud, account takeovers, payment fraud, synthetic identities, BEC (business email compromise) attacks, money mule networks, ACH chargeback fraud, first-party fraud, card testing, chargeback fraud, and unusual location/device activity across the entire customer journey.
What AI agents are available in the Agent Hub?
The Agent Hub includes 20+ purpose-built agents: Translator Agent, CTR Agent, TestGen Agent, Narratives Agent, Workflows Agent, Credit Explainability Agent, Fraud Dispute Agent, Analytics Agent, RuleRec Agent, AML L1 Agent, SAR Agent, Sanctions Agent, and PEP Agent, each specializing in compliance, fraud, or credit risk domains.
How does Oscilar's device and behavioral intelligence work?
Oscilar uses security-aware device intelligence, behavior biometrics, and data enrichments based on thousands of signals with 1000+ markers. It detects unusual sign-up behavior like copying information or using emulators/scripts, spots suspicious logins from unknown locations/devices, catches high-velocity transactions, and detects abnormal user behavior with state-of-the-art encryption to prevent spoofing.
What security certifications does Oscilar have?
Oscilar is GDPR-compliant, SOC 2 Type 2 certified, ISO 27001 compliant, and PCI DSS Certified. Security practices include secure-by-design architecture, annual penetration testing by third-party firms, AES-256 data encryption in storage, SSL/TLS encryption in transit, API security with 256-bit authorization keys, multi-factor authentication for internal access, and automated vulnerability detection in third-party dependencies.