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EyesClear

Financial-crime compliance for banks

Efficiency without giving up control.

Rules where rules are enough. AI only where it earns its place.

Solutions

Live Entity Investigations · five free searches · results in minutes

EC-4471 · Perpetual KYC
  1. System

    Customer information gathered

  2. Frontier AI

    Public records searched · name only

  3. Rules

    Scorecard created

    HIGH
  4. Private AI

    Recommendation provided

  5. Analyst

    Reviews the evidence · decides the rating

  6. System

    Rating written back to the bank’s systems

Period

Re-runs quarterly · period set by your team

Customer risk kept current between reviews

Gather · screen · score · recommend · decide · update

Your team’s judgement, applied at scale. Each EyesClear solution uses proven rules-based technology, private AI and frontier AI only where each is safest and most efficient. The AI does the time-consuming work; your team sets the rules, reviews what it delivers and signs it off — alongside your existing providers, with no platform replacement.

  • Rules-based collection and scoring — deterministic and auditable.
  • Private AI on your data, on-premise or private cloud — nothing leaves.
  • Frontier AI on the public records only — sent a name, never a customer file.

Proven in live banking environments

9
years in continuous production
7
banking clients live
5+
markets in production
10,000
transactions per second

Solutions

Four solutions for the work compliance already does

Each one is a piece of work your team does today, done with the evidence assembled and the draft written before an analyst opens it. Each runs on its own, alongside the systems you already have.

On-premise or private cloud · public-record search

Perpetual KYC

Customer risk kept current between reviews, not only at them.

  • Data collection
  • AI analysis
  • Rules-based customer scoring
  • Periodic re-analysis of customer groups

The solution in full →

On-premise or private cloud

FI Management

Your SWIFT traffic, captured once and put to work.

  • SWIFT and ISO 20022 XML capture from Alliance Gateway
  • Debtor and beneficiary alerting, with periodic reporting
  • CESOP reporting
  • Back-up
  • Rebate reports on correspondent banks

The solution in full →

On-premise or private cloud

SAR Narrative Drafting & Regulatory Reporting

From the alert your AML system raised to the filing, in one queue.

  • Alert capture from AML systems
  • Data collection
  • SAR drafting
  • Regulatory reporting

The solution in full →

Cloud-based, in your browser

Live Entity Investigations

The half of the case you do not hold, quoted and sourced.

  • Entity resolution
  • Network analysis
  • Sanctions, PEP and negative-news analysis
  • Risky-country exposure and analysis
  • Local-language analysis
  • Financial-crime narrative

The solution in full →

Underneath them sit two technologies. TheEyesClear Platform runs on-premise or in your private cloud, for your own data. EyesClear Investigations works the public records from the cloud, and goes out with a name only.

Start with the solution your backlog calls for. None of them asks you to replace what works.


Decisions compliance can sign

How it works

One queue. Three clear steps. A signature at the end.

Everything that needs a decision — a monitoring alert, a screening hit, a KYC review, an onboarding breach, an audit finding — lands in one queue. EyesClear prepares the case. Your analyst signs it. The decision then flows back into your systems without re-keying.

  1. 1

    Rules-based collection

    Transactions, customer records and internal data — and, through EyesClear Investigations, the public records on the counterparty you hold nothing about. Gathered by rules you set, so every step is repeatable and auditable.

  2. 2

    AI analysis

    The AI summarises and triages that evidence, maps the entity network and drafts the narrative. The risk is visible at a glance.

  3. 3

    Human decision

    Your analyst reviews, decides and signs. Approved actions — account holds, information requests, customer outreach — go back to your systems, every one logged.

Value created

Lower cost per case

The evidence is assembled and the narrative drafted before an analyst opens the case.

Faster regulatory response

A new typology runs across the full history overnight, and every AI output traces back to source.

Less undetected financial crime

Analyst time moves from assembling evidence to judging it, across more of the book.

Effort required for each case is substantially reduced — whether EyesClear runs the operation or works alongside what you already have.


All four solutions →The technology underneath →

Why EyesClear is different

Two AI architectures, each used where it belongs

Every vendor has AI now. A key question is where and how. Single architectures result in a compromise of having no access to external data or releasing the bank’s data to third parties. EyesClear architectures overcome this.

Frontier models on the public records

Best-in-class reasoning on the half of the case you do not hold.

EyesClear Investigations works the open records with frontier commercial models, and reports every finding with the quote and the source it came from. What leaves is the name being screened and the search terms derived from it — never a customer file. Those queries run under commercial terms that exclude training on what is sent.

What Investigations does →How a report is produced →

Private AI on the bank’s own data

AI value without data-export risk.

The Platform and every inference it makes run on the bank’s own infrastructure — on-premise or private cloud, behind a private LLM gateway. No customer data and no model inference goes to an external cloud or a third-party vendor.

Security & LLM governance →

Two architectures, one case file

The analyst never has to think about which AI did the work.

Internal evidence and public evidence arrive in the same case, assessed together and traceable to source on both sides. Whichever side the work came from, one analyst reviews it and one signature closes it. The split is an engineering decision about where evidence lives, not something the compliance team has to operate.

How the Platform works →

Nine years in production, at the current frontier

Current AI, on a system banks already run.

Seven banking clients across five or more markets, nine years in continuous production — the AI integrated within it is the current generation, not a narrative feature added to a legacy engine. When a better model arrives it is swapped in and re-run against a fixed set of test cases with known-correct outcomes, so a change in behaviour is detected rather than assumed. The maker-checker control around it does not change.

Clients →How we compare →

Risk mitigated, control retained, effort removed — because the AI is chosen for where the evidence sits, not for where it is easiest to run.


Why EyesClear is different

Problems and answers

Four problems. Four answers.

Financial-crime compliance is one of the largest cost centres in any bank, and the pressure lands on the same team every time. Four problems drive it, and EyesClear answers each.

The problem

Never enough people for the volume

Alert volumes grow with the book and with every new typology. Headcount does not. The team absorbs it by spending longer on each case or by looking at fewer of them — and the research that sits in no system at all gets done by hand, one search at a time.

The answer

More of the book, by the same team

The evidence is assembled and the narrative drafted before an analyst opens the case — inside the bank and outside it alike. The counterparty research someone would otherwise do by hand comes back as a sourced report. Those hours return as coverage: more of the book reviewed, by the same people.

The problem

Incomplete evidence

Raising an alert is the easy part. The cost sits downstream: investigators wait on slow queries, then hand-write each SAR narrative in two to four hours. And on an incoming payment you hold everything on your own customer and nothing on the party who sent the money.

The answer

Both sides, in one case file

The AI assembles, analyses and drafts — working with the data you hold and through EyesClear Investigations, the public records you do not have. The analyst decides and signs off.

The problem

Audit readiness is a scramble

An examiner asks how a case was decided eighteen months ago. The answer is spread across a case system, an email thread and somebody’s memory. The web research behind it leaves no trace at all — nobody recorded what was searched, and the page the analyst read may not say the same thing today.

The answer

A file that is already examiner-ready

Evidence, case history and decisions are held centrally, with full audit trails and instant retrieval for any period. Every AI output traces back to source, and every public-record finding carries the quote and the date it came from — so the outside evidence is as defensible as the inside evidence. Maker-checker records who requested each change and who approved it.

The problem

Managers have no line of sight

Headline numbers arrive monthly, in a spreadsheet, detached from the cases behind them. By the time a backlog or a drift in quality is visible, it has been true for weeks. And nobody can see whether two analysts researched the same counterparty to the same depth.

The answer

A control plane over the operation

Headline numbers drill down to the cases behind them, live. External research runs as a repeatable step rather than as one analyst’s search habits, so what gets checked is the same across the team. A remediation run across the affected history is one action away, through the same maker-checker queue.

That work spans multiple workstreams, usually spread across multiple systems, each with its own data, queues and reports. See how EyesClear consolidates them →

One queue owns the outcome, and one signature closes it.


Four problems, four answers

In practice

What the analyst and the manager actually do

Seven steps, from the moment alert is created up to the case conclusion — same platform, same data, same maker-checker control.

  1. 01

    The consolidated queue

    Alerts from every source system land in one place. One queue instead of five logins.

  2. 02

    The case, fully assembled

    Everything the analyst needs is on one screen — including, through EyesClear Investigations, what the public records say about the counterparty you hold nothing on. The case starts from evidence, not from a search.

  3. 03

    Capture, designed by your team

    Compliance designs what a case captures, and the form goes live without a vendor change request.

  4. 04

    The maker-checker process

    The AI drafts. The analyst reviews, edits and signs. Nothing closes without that signature.

  5. 05

    Straight to the filing

    The resolved case flows into the regulatory report, fields already populated.

  6. 06

    Remediation

    New supervisory input arrives, and the relevant historical cases are re-reviewed through the same queue.

  7. 07

    The manager’s control plane

    Headline numbers drill down to the cases behind them. A remediation run is one action away.

A lookback in days, not months — through the same maker-checker queue.


The Platform in practice

Start with the solution your backlog needs

Book a demo and we will run it on your own scenarios. Live Entity Investigations is free to try for financial institutions and their regulators — five searches, nothing to integrate.