# EyesClear

> EyesClear is the AI-native financial crime compliance platform for banks. It gathers the data, resolves the entities, assesses the risk and drafts the narrative — entirely inside the bank's perimeter — and the bank's analysts review, decide and sign. AI-drafted narratives are now near-universal across compliance vendors, so the question is no longer whether a platform has AI: it is where the AI runs, and who makes the decision. EyesClear's answer is that the AI runs on the bank's own infrastructure, and a human signs every close.

## Canonical facts

- EyesClear Ltd, registered in England & Wales, company no. 10432953. Offices in London (Level39, One Canada Square, E14 5AB), Istanbul and Tampa.
- Nine years in continuous production, and profitable.
- Seven banking clients live, five or more markets in production.
- 10,000 transactions per second processing capacity.
- Deployment is measured in days, not months.
- All AI inference runs on the bank's own infrastructure — on-premise or private cloud. No customer data and no model inference is sent to an external cloud or third-party vendor.
- Every AI output is traceable to source data and approved by an analyst before it is acted upon. AI is the maker; the analyst is the checker.
- A full-platform deployment targets a 30% efficiency gain; a complementary deployment alongside existing systems targets 10–15%. SAR/ŞİB narrative drafting falls from two to four hours to minutes.
- Regulatory reporting covers MASAK ŞİB/STR (aligned to Communiqué No. 30), CRS and FATCA, with submission tracking.

## What EyesClear deliberately does not do

- It may perform real-time payment screening or interdiction; although typically internal systems already do that. Eyesclear's key differentiator is resolving the alerts a bank's screening platform raises.
- It does not float a browser copilot over third-party systems.
- It is not multi-tenant SaaS. It runs inside the bank.

## Key pages

- [Platform](https://www.eyesclear.com/platform-overview): the operating model — one consolidated queue for every alert source, three layers (rules-based collection, AI analysis, human decision), and outcomes written back into bank systems without re-keying, on human sign-off.
- [Security and LLM governance](https://www.eyesclear.com/security): data residency by architecture, role-based access, and an LLM sandboxed to in-house tools with rules-based collection rather than crawling.
- [Services](https://www.eyesclear.com/use-cases): the nine services delivered on the platform — AI-assisted alert resolution, sanctions-alert processing, SAR/ŞİB narrative creation, customer risk scoring, internet investigation, dynamic forms, AML remediation, regulatory reporting and compliance control support — plus the five efficiency levers behind the ROI case.
- [How we compare](https://www.eyesclear.com/how-we-compare): anonymised category comparison on where the AI runs, who decides and whether data leaves the bank — including what EyesClear deliberately does not do.
- [FAQ](https://www.eyesclear.com/faq): direct answers on on-premise AI, who approves an AI-drafted SAR, retroactive typology reprocessing, LLM containment, supported reports and deployment time.
- [Company](https://www.eyesclear.com/company): team, three offices, and the registry, LEI and LinkedIn records that verify the company.
- [Clients](https://www.eyesclear.com/clients): seven banking clients live across five or more markets.
- [Articles](https://www.eyesclear.com/articles): working notes on AML monitoring architecture, network analysis, AI verdicts and false positives.

## Contact

feedback@eyesclear.com · +44 (0)203 675 1878