Same Platform. Your Infrastructure. Your Choice.
On-premise, private cloud, hybrid, or fully managed — EyesClear runs the same way everywhere. Same 10,000 TPS engine. Same real-time detection. Same cost advantage. You choose where it lives.
Discuss Your Deployment →Why Many Institutions Need Local Deployment
Cloud adoption is accelerating — but for AML compliance systems, local deployment remains essential for a large share of the global market. Two structural reasons drive this.
🏛️ Regulatory Requirement
Over 100 countries enforce data localization laws. Financial services consistently face the strictest rules — with many jurisdictions requiring that compliance data and the systems processing it remain within national borders.
🏦 Institutional Policy
Large banks classify AML transaction monitoring as critical infrastructure. Third-party vendor risk, operational resilience requirements, and the need for customized security controls mean that systemically important institutions often choose local deployment — even where cloud is permitted.
🇨🇳 China
PBOC mandates all financial data stored and processed within mainland China.
🇮🇳 India
RBI requires payment data stored in India. DPDP Act enforces data localization.
🇷🇺 Russia
Personal data must be stored on servers physically within Russia.
🇦🇪 UAE
Banks must house all customer and transaction data on UAE servers.
🇸🇦 Saudi Arabia
SAMA requires local data storage. Transfer needs regulatory approval.
🇹🇷 Turkey
MASAK requires primary AML systems on-premise within Turkey.
🇶🇦 Qatar
QFC regulations require financial data within borders.
🇧🇷 Brazil
LGPD imposes strict cross-border transfer safeguards.
🇮🇩 Indonesia
Financial services subject to data localization mandates.
🇪🇺 European Union
GDPR + DORA mandate data controls and operational resilience.
🌍 Central Asia
Kazakhstan, Uzbekistan, Kyrgyzstan require local compliance systems.
🇳🇬 Nigeria
Stricter financial data residency mandates introduced in 2025.
Plus Vietnam, South Africa, Malaysia, Chile, Luxembourg, and dozens more.
Not All On-Premise Is Created Equal
Most vendors still offering on-premise deploy the same legacy architecture they built 15 years ago. EyesClear's modern stack changes the equation — whether you're on-premise or in the cloud.
| Legacy Vendors | EyesClear | |
|---|---|---|
| Deployment time | 12–18 months | 4–7 weeks |
| Database | Oracle ($100K–$500K/yr) | PostgreSQL (open-source) |
| Rule changes | Vendor SOW, 3–6 weeks | Your team, same day |
| Historical reprocessing | Separate project, $50K–$200K | Overnight, no project plan |
| Annual cost (mid-size bank) | $750K – $2M+ | Under $100K |
| Processing speed | Batch (hours delay) | Real-time (10,000 TPS) |
| Deployment flexibility | On-premise only | On-premise, cloud, or hybrid |
Full Platform, Any Environment
No feature gaps between deployment models. Every capability works identically whether the platform runs on your servers or in the cloud.
⚡ Real-Time Detection
10,000 TPS from SWIFT, core banking, cards, and payments. Alerts fire as patterns emerge.
📋 Case Management
Alert-to-SAR workflows with configurable templates, automated routing, and full audit trail.
🕸️ Network Analysis
Relationship patterns and suspicious clusters — built in, no separate graph database needed.
🔄 Overnight Reprocessing
Apply new typologies to years of history overnight. Same engine for real-time and historical.
🔗 Any Data Source
JDBC to Oracle, DB2, PostgreSQL. Real-time from SWIFT and Kafka. File-based ingestion.
🛡️ Your Rules, Your Control
Compliance officers create and modify detection rules directly. No vendor dependency.
10K
Transactions per second
9
Years in production
3
Deployment models
Weeks
Not months to deploy
1/10th
The cost of legacy vendors
Let's Talk Deployment
On-premise, cloud, or hybrid — we'll walk through your requirements and show you the platform running in the environment that fits.