When compliance depends on yesterday’s data, risks slip through. EyesClear processes 10,000 transactions per second with integrated AI that generates case narratives, powers analyst support, and creates on-demand reports—all under your team’s control.
| Traditional Batch Systems | EyesClear Real-Time |
| ✗ Alerts arrive hours or days later | ✓ Alerts trigger as transactions flow |
| ✗ Investigations start with stale data | ✓ Investigations use live, enriched data |
| ✗ Rule changes require vendor engineers | ✓ Compliance officers create rules directly |
| ✗ Network patterns visible only in retrospect | ✓ Network analytics embedded in data creation |
| ✗ Separate data lake purchase required | ✓ Built-in data lake—automatic |
| ✗ New typologies require multi-month projects | ✓ Apply new typologies to history overnight |
| ✗ AI requires cloud data export or separate vendor | ✓ AI runs on-premise for SAR narratives, analyst support, agentic reports |
Compliance teams came first. But once the real-time data lake was live, Treasury wanted in. Then Operations. Then Client Management. That's what happens when you finally have a single source of truth that updates in real-time.
"Detect in seconds. Investigate in minutes. Let AI draft the narrative. Report with confidence."
"Stop managing exceptions from yesterday's report."
"Liquidity visibility that's actually current."
"Every client interaction, informed by everything you know."
"Continuous monitoring, not point-in-time testing."
"Know your correspondent network in real-time."
EyesClear uses Large Language Models where they add real value to compliance workflows—not as a gimmick. Every AI output is traceable, validatable, and under your analyst's control.
LLM-powered chatbot answers analyst questions about the platform, procedures, and compliance guidelines. Available 24/7 for your team.
Chat-based agentic interface that creates user-directed reports on demand. Ask a question, get a report—no SQL, no templates, no waiting.
AI drafts Suspicious Activity Report narratives from case details. Analyst reviews, edits, and approves before submission. Every output traceable to source data.
It's not just faster alerts. It's capabilities that would require months of project work anywhere else.
When regulations change or new suspicious patterns emerge, traditional systems face a dilemma: apply new rules going forward and hope nothing slipped through—or launch a multi-month project to reprocess historical data.
EyesClear eliminates this trade-off.
Update your detection typology today. Apply it across your entire transaction history tonight. Review new alerts tomorrow morning.
No scoping documents. No resource allocation meetings. No 6-week timelines just to start.
No waiting for vendor availability. No change request fees. No contract negotiations.
Respond to regulatory changes in days, not quarters. Stay ahead of emerging threats.
Because EyesClear's architecture treats real-time and historical processing as two modes of the same engine—not separate systems bolted together. Your data lake, your rules, your enrichment logic all work identically whether processing today's transactions or last year's. Same system. Same results. Any timeframe.
Regulator issues new guidance on Tuesday. By Wednesday morning, you've scanned 3 years of history and identified 47 transactions requiring review.
Industry alert describes new fraud scheme. Same day, you've built detection logic and confirmed whether your institution has been targeted.
Examiner questions your coverage of a specific risk. Overnight, you demonstrate comprehensive detection across the entire audit period.
Compliance team refines detection thresholds. Before deployment, they validate against 12 months of data to confirm false positive reduction.
With batch systems, historical reprocessing is a project.
With EyesClear, it's a checkbox.
If you're working with legacy transaction monitoring, you've probably experienced some of these frustrations.
Your AML alerts arrive the next morning—after the transaction cleared
Every rule change requires a change request and vendor involvement
You bought a "platform" but needed to add a separate data lake, case management, and reporting modules
Your investigators spend more time waiting for queries than investigating
Operations is making decisions on 4-hour-old data
Treasury's "real-time" dashboard refreshes every 15 minutes
Client Management has no single view—they check 4 systems per call
Implementation was supposed to take 6 months—you're in month 14
10K
Transactions per second
Days
Not months to deploy
1
Platform for everything
9
Years in production
1/10th
The cost of enterprise alternatives
"Best system we ever had."
— First Client, 9 years of continuous operation
