P(SAR|D) = P(D|SAR)·P(SAR) E[fine] = Σ p¹·F¹·(1−m) risk = f(velocity, pattern, θ) precision = TP / (TP + FP) Σ(compliance) → 0 risk
SYSTEM ONLINE MODEL v11.0 AGENTS ACTIVE SYS / 2026-Q1
UK'S #1 COMPLIANCE BURDEN FOR SERIES A–B FINTECHS · AML · KYC · SAR FILING · AUDIT REPORTS · OPERATIONAL RISK

We automate compliance
before it becomes a crisis.

Regulatory compliance is the single biggest operational threat facing Series A–B fintechs — responsible for failed audits, lost deals, and licence revocations. VIRGIL is the AI-native compliance layer — continuously monitoring transactions, detecting AML anomalies, generating SARs, and producing audit-ready evidence packs. Built for UK fintechs that need to satisfy the FCA and their enterprise buyers at the same time.

FCA enforcement actions are up 43% in the past 24 months. DORA, AMLD6, and Consumer Duty are adding obligations faster than compliance teams can absorb them. VIRGIL is the automation layer: an agent engine trained on documented AML and regulatory failure patterns, wired to your transaction data, and generating regulator-ready output in under 48 hours from deployment.

Book a Demo View Platform
#1 Reason Fintechs Lose Deals & Licences
<48h Raw Data to Regulator-Ready Output
4-Agent AML Consensus Engine
Live Compliance Posture · Series A–B Fintech Cohort
Regulatory Exposure Surface 6 Frameworks Active
FCA MLRO Rules High exposure
AMLD6 High exposure
DORA (Jan 2025) Active — monitoring
FCA Consumer Duty Active — monitoring
SOC 2 Type II Gap identified
PSD3 Incoming
4-Agent Consensus Engine All Agents Active
AML Detection Agent
SAR Generation Agent
Audit Evidence Agent
Policy Drift Agent
Platform Features

How a compliance obligation
gets resolved in 48 hours.

VIRGIL connects to your transaction data, runs a 4-agent consensus engine trained on documented AML and regulatory failure patterns, and autonomously generates SARs, FCA returns, SOC 2 evidence, and sponsor bank reports — so your MLRO reviews and submits, never drafts from scratch. Our UK beachhead: Series A–B fintechs with 1–3 person compliance teams who need to satisfy the FCA and enterprise buyers simultaneously.

F-001
Compliance automated. No manual assembly required.

VIRGIL monitors your transaction stream, scores anomalies, and generates regulatory reports automatically. Your compliance team focuses on decisions and sign-off — not pulling data, writing SARs, or formatting audit packs.

DATA → SCORE → REPORT → MLRO SIGN-OFF
F-002
High-accuracy AML detection — trained on documented failure signatures

The agent engine was trained on documented AML and regulatory failure patterns — the specific pre-event signals in transaction velocity, structuring behaviour, and counterparty patterns that precede suspicious activity. Four agents vote in consensus before any alert fires, eliminating the false positives that erode MLRO trust.

AML FAILURE SIGNATURES · 4-AGENT CONSENSUS
F-003
SAR drafts in one click. FCA-ready.

Compliance analysts spend 60–70% of their week manually drafting SARs and preparing submissions. VIRGIL generates complete Suspicious Activity Report drafts mapped to FCA requirements, ready for MLRO review and submission — in a single click.

ONE-CLICK SAR · FCA-MAPPED · MLRO READY
F-004
Every regulatory obligation, visible in real time

AMLD6, DORA, FCA Consumer Duty, PSD2/PSD3, SOC 2 — every framework your fintech is subject to, tracked continuously. VIRGIL surfaces live compliance posture across your entire regulatory surface, not just the obligations that have already triggered an FCA letter.

AMLD6 · DORA · FCA CONSUMER DUTY · SOC 2
F-005
Audit evidence packs — ready for your next supervisory visit

Prevention without audit trail is risk. VIRGIL generates timestamped, event-level evidence bundles mapped to your specific regulatory framework — automatically compiled, structured for FCA supervisory visits, and exportable as a compliance data pack for enterprise buyers requiring SOC 2.

AUDITABLE · FCA-READY · SOC 2 MAPPED
F-006
Free gap report. Live in under 48 hours.

Read-only API connection. 48 hours. VIRGIL delivers a detailed report showing your top 5 AML blind spots and audit readiness score against FCA expectations — no sales pitch, pure intelligence. Full platform deployment follows for teams that want continuous automation.

FREE GAP REPORT · READ-ONLY API · ZERO DISRUPTION
Built For

Starting with Series A–B fintechs —
expanding across the value chain.

VIRGIL's beachhead is FCA-authorised fintechs with 1–3 person compliance teams, where AML and regulatory obligations represent an existential operational risk. They have the most to gain from automation and the least runway to build it in-house.

PRIMARY ICP
01
MLROs & CCOs at Series A–B Fintechs

Our beachhead. MLROs at FCA-authorised fintechs face personal liability under FCA MLRO Rules and supervisory visits rising 40% year-on-year. VIRGIL gives them a live, auditable compliance record — AML anomaly detection, SAR drafts, and evidence packs — that turns an overwhelmed 2-person team into a defensible compliance function. The trigger: an FCA letter or upcoming supervisory visit.

UK Beachhead · FCA-Authorised · EMI · BaaS
02
CFOs & COOs at Series B Pre-Close

Compliance gaps surfaced during Series B due diligence kill deals. VIRGIL generates the audit trail and evidence packs that satisfy investor DD teams before they flag compliance as a deal risk. The trigger: a Series B round in the next 6 months with DD starting.

Deal Risk Elimination
03
BaaS Operators & Sponsor Banks

Sponsor banks tightening quarterly reporting requirements create acute compliance pressure for BaaS operators. VIRGIL generates sponsor bank report templates automatically and surfaces the operational risk dashboard that satisfies quarterly reporting without manual effort. The trigger: sponsor bank tightening reporting cycles.

Sponsor Bank Reporting
04
Enterprise Buyers Requiring SOC 2

SOC 2 Type II is required by every enterprise buyer. VIRGIL compiles the evidence bundles, access logs, and control documentation that form the backbone of a SOC 2 audit pack — mapped to your specific framework, continuously updated. No SOC 2 means no B2B contract. VIRGIL removes that blocker.

SOC 2 Evidence Automation
Why VIRGIL Wins

The moat is the
regulatory pattern library.

VIRGIL's agent engine is trained on documented AML and regulatory failure patterns — the specific pre-event signals in transaction velocity, structuring behaviour, and counterparty anomalies that precede regulatory action. No team starting today can replicate that corpus. That's the precision that MLROs and compliance teams require before they trust any platform with production transaction data.

SOC 2–Ready Architecture

Security controls and auditability designed to support SOC 2 Type II and FCA-equivalent frameworks from day one of deployment — so your enterprise buyers can sign contracts.

End–to–End Encryption

Data encrypted in transit (TLS) and at rest (e.g. AES–256). Zero–plaintext policy for production systems handling transaction, KYC, and regulatory data.

Cloud–Native Redundancy

Multi–region deployment with automatic failover and tested recovery procedures, supporting UK, EU, and global fintech clients with jurisdiction-specific data residency.

Enterprise SLAs & DPA

Contractual SLAs, data processing addenda, and security exhibits aligned with FCA-authorised firm, BaaS operator, and enterprise buyer requirements.

Regulatory Coverage

Six frameworks.
Every one a contract blocker.

The compliance surface for UK fintechs is expanding at a pace that outstrips most compliance teams. VIRGIL covers every major framework your Series A–B fintech is subject to — continuously, automatically, and with the audit trail to prove it.

R-001
FCA MLRO Rules · Active

Personal liability for MLROs. Supervisory visits rising 40% YoY. VIRGIL generates the continuous monitoring evidence and SAR documentation that demonstrates an effective AML framework to the FCA.

ACTIVE · PERSONAL MLRO LIABILITY
R-002
DORA · January 2025

Digital operational resilience. Mandatory incident reporting and ICT risk frameworks. VIRGIL maps your operational risk posture continuously and generates the incident-level documentation DORA requires.

LIVE JAN 2025 · MANDATORY REPORTING
R-003
AMLD6 · Active

Stricter AML controls, wider predicate offences, criminal liability. VIRGIL's AML engine is trained on AMLD6-compliant detection patterns, with SAR generation and audit packs built to the updated standard.

ACTIVE · CRIMINAL LIABILITY
R-004
PSD2 / PSD3 · Incoming

Open banking liability shift and new fraud reporting obligations. VIRGIL tracks PSD3 implementation milestones and surfaces the transaction monitoring gaps that create exposure under the incoming framework.

INCOMING · LIABILITY SHIFT
R-005
FCA Consumer Duty · Active

Ongoing monitoring and evidence of fair customer outcomes. Mandatory audit trail. VIRGIL generates the continuous monitoring record and outcome evidence that Consumer Duty demands — automatically, not retrospectively.

ACTIVE · AUDIT TRAIL MANDATORY
R-006
SOC 2 Type II · Commercial Gate

Required by every enterprise buyer. No SOC 2 means no B2B contract. VIRGIL compiles the evidence bundles, control documentation, and access logs that form the backbone of a SOC 2 audit — mapped to your specific framework and continuously maintained.

COMMERCIAL GATE · B2B REQUIREMENT
FAQ

Frequently asked
questions.

Existing AML tools detect anomalies but leave the compliance team to do everything else: write the SAR, compile the audit pack, track regulatory obligations, and generate the evidence for enterprise buyers. VIRGIL is the full-stack compliance automation layer — AML detection plus SAR generation plus SOC 2 evidence plus operational risk monitoring, in one platform, priced for Series A–B fintechs rather than banks with £150K budgets.

No. VIRGIL automates the document assembly, report generation, and monitoring that currently consumes 60–70% of a compliance analyst's week. Your MLRO reviews SAR drafts and submits them — they never draft from scratch. FCA MLRO Rules require personal sign-off; VIRGIL makes that sign-off faster and better-evidenced, not unnecessary.

Connect a read-only API to your transaction data. Within 48 hours, VIRGIL delivers a detailed PDF showing your top 5 AML blind spots, a regulatory framework coverage assessment against your specific obligations, and an audit readiness score benchmarked against FCA expectations. No sales pitch. Pure intelligence.

VIRGIL supports read-only API and secure data connectors for Stripe, Modulr, ClearBank, and any core banking system via webhook. Live within 2 hours of a connection being established. No write access to your systems is required at any point.

VIRGIL uses encryption in transit (TLS) and at rest (e.g. AES–256), least–privilege access controls, network segmentation, and continuous monitoring. We operate to SOC 2–ready standards and support regional hosting for UK and EU clients. A Data Processing Addendum is available on request.

Our legal hub includes the Privacy Policy, Terms of Service, Security Practices Overview, Cookie Policy, and current Sub–Processors List. A Data Processing Addendum (DPA) template is available for download, and a signed DPA can be executed on request for eligible customers.

Book a Demo

See VIRGIL in action.

Book a 30-minute demo and we'll walk you through VIRGIL's AML detection, SAR generation, and audit evidence capabilities using a live environment. Our team will respond within 24 hours to confirm your slot.

WHAT TO EXPECT
Live Platform Walkthrough
See AML anomaly detection, SAR draft generation, and audit evidence packs demonstrated on a live environment.
Your Use Case
We tailor the demo to your specific regulatory obligations — FCA, AMLD6, DORA, SOC 2, or sponsor bank reporting.
Free Gap Report
Every demo includes a complimentary AML blind spot assessment against FCA expectations — no commitment required.
30 Minutes. No Sales Pitch.
A focused technical walkthrough with our compliance engineering team. You leave with a clear view of how VIRGIL fits your stack.
Current Availability

Accepting demo requests for Q2 2026. Response within 24 hours.

DEMO REQUEST FORM

By submitting you agree to our Privacy Policy. We will use your details solely to respond to this enquiry. Eulerian Holdings Ltd. · Company No. 16551691.

P(SAR|D) ∝ P(D|SAR)·P(SAR) E[fine] = Σ p¹·F¹·(1−m) precision = TP / (TP + FP) risk = f(velocity, θ, counterparty) AML ∩ KYC ∩ SOC2
7EULERIANSTRATEGIES · ABOUT US FOUNDED 2025 · UK
ABOUT / 7EULERIANSTRATEGIES

Engineering
the compliance automation
era.

We automate regulatory compliance for UK fintechs before it becomes a crisis. VIRGIL continuously monitors transactions, detects AML anomalies, generates SARs, and produces audit-ready evidence packs — so compliance teams focus on decisions, not document assembly. Our regulatory pattern library is the moat.

The fintech industry doesn't have a data problem. It has an automation problem — compliance signals arrive too late, too manually-processed, and too siloed to prevent regulatory action. We built VIRGIL to close that loop: transaction data to regulator-ready output in under 48 hours, with agents trained on AML and regulatory failure signatures that took years to document and encode.

Kent & Kingston
University roots
Founded by engineering and research undergraduates united by a shared belief that fintech compliance deserves better tools and better outcomes than the enterprise AML market provides.
Production–Grade
Engineering culture
Large–scale agentic AI systems, production data pipelines, and real–world regulatory exposure — from day one.
UK · EU · Global
Global ambition
Building the compliance automation layer for the world's most regulated fintech markets, from a team that cares about the craft as much as the impact.
Our Story

Regulatory compliance.
One pattern library.
One moat.

Every major regulatory failure follows a pattern. A suspicious transaction isn't flagged without warning signals — velocity spikes, structuring behaviour, counterparty anomalies. A compliance gap doesn't materialise overnight. The signals are there. The industry just wasn't processing them fast enough, or automatically enough, to act before the FCA did.

We documented AML and regulatory failure patterns — the specific pre-event signal sequences that precede regulatory action, failed audits, and licence revocations. Not from a generic dataset. From direct research and case-by-case analysis, extracting the compliance patterns that standard rule-based monitoring tools consistently miss.

That corpus is encoded into VIRGIL's agent engine. It is the reason VIRGIL catches compliance risks before they escalate. No team starting today can replicate it — it took years to build.

We then wired that engine to transaction data streams, regulatory framework mappings, and SAR generation workflows. The result: a platform that detects AML anomalies, scores severity, generates regulatory reports, and compiles audit evidence — automatically, in under 48 hours from a read-only connection.

Compliance is the UK fintech market's most acute operational risk. VIRGIL is purpose-built to automate it — detecting the pre-failure signatures and generating the documentation before manual processes would even flag the issue. That is the outcome that matters to every MLRO, CCO, and CFO facing a regulatory obligation or a Series B close.

WHAT WE STAND FOR
  • Engineering rigour
    Production–grade systems, not prototypes. We ship compliance automation that holds under real regulatory conditions, not just demo environments.
  • Regulatory depth
    We understand FCA MLRO Rules, AMLD6, DORA, and SOC 2 from the inside. We know what an MLRO needs to sign off a SAR and what an FCA supervisor wants to see in an audit pack.
  • Automate before, not remediate after
    The industry is built on reactive compliance. We're building the infrastructure to shift it towards prevention — where every automated report is a regulator satisfied and a deal unblocked.
  • Team over hierarchy
    We move fast because we trust each other. Decisions are made by people closest to the problem, and the work is better for it.
  • Craft meets impact
    We genuinely care about what we build — the accuracy of the agents, the precision of the SAR drafts, the clarity of the audit packs. That care shows up in every deployment.
The Team

The team that built
the pattern library.

VIRGIL's moat is a documented corpus of AML and regulatory failure patterns. Building it required AI engineers who understood anomaly detection at production scale, platform engineers who could wire transaction signals to real-world regulatory reports, and domain experts who knew what those signals actually meant inside an FCA-authorised firm's compliance function.

AI
AI & Pattern Engineering
Failure Case Corpus · Agent Consensus Detection

Responsible for encoding documented AML and regulatory failure cases into VIRGIL's 4-agent consensus engine. The work that produced high detection accuracy and a low false positive rate — precision that compliance teams require before they'll act autonomously on agent output.

Agentic AI Anomaly Detection AML Pattern Analysis
PE
Platform & Data Engineering
Real-Time Systems · Regulatory Report Generation

Built the pipeline that takes a transaction stream event to a complete SAR draft or audit evidence pack — reliably, at scale, across multiple regulatory frameworks simultaneously. The reason VIRGIL is a compliance action platform, not just a detection layer.

Real–Time Systems Data Infrastructure Report Generation
IS
Regulatory & Market Domain
MLRO Workflows · FCA Regulatory Economics

Bridges the gap between what the agent engine produces and what an MLRO or FCA supervisor actually needs to act. Responsible for the compliance report format that turns a demo engagement into a renewal-ready, DD-ready commercial argument.

FCA Compliance AML Frameworks Fintech Operations
Connect With Us Follow our progress at 7EulerianStrategies
Our Mission

Rigorous engineering.
Deep regulatory
understanding.

We exist to create AI that genuinely serves the people solving real–world compliance problems — MLROs, CCOs, and compliance analysts buried in manual reporting obligations. Not another dashboard. An intelligence that acts, learns, and makes the regulatory function stronger every time it generates a report.

HOW WE'RE DOING IT
  • Agentic AI that closes the compliance loop
    Not just anomaly detection — complete regulatory outputs generated autonomously in under 48 hours, from transaction signal to MLRO-ready SAR.
  • Four agents working in consensus, not single bets
    Fewer false positives, stronger recall, and explainability that compliance teams and FCA supervisors can trust and evidence.
  • Built into existing compliance workflows
    We don't ask MLROs to change tools. VIRGIL surfaces intelligence inside the systems they already use every day.
  • Enterprise–grade from the start
    SOC 2–ready, end–to–end encrypted, UK data residency available. The security posture enterprise buyers and FCA supervisors require before they'll trust any platform with production transaction data.
Work With Us

See what VIRGIL can do
for your compliance function.
Book a demo.

If you're a UK FCA-authorised fintech with a compliance team of 1–3 people and an FCA obligation, enterprise DD, or sponsor bank reporting requirement in the next 6 months — book a 30-minute demo and we'll show you exactly how VIRGIL addresses your specific obligations.

Book a Demo Follow on LinkedIn

RESPONSE WITHIN 24 HOURS

P(SAR|D) ∝ P(D|SAR)·P(SAR) E[fine] = Σ p¹·F¹ precision = TP / (TP + FP) risk = f(velocity, θ) AML ∩ KYC ∩ DORA
LIVE RESEARCH HUB VOLUME IV · Q1 2026 7EULERIANSTRATEGIES · INSIGHTS
002 / REGULATORY INTELLIGENCE INSIGHTS

Behavioural
science meets
fintech compliance.

Academic research, practitioner analysis, and evidence-based perspectives on how regulatory frameworks, cognitive biases, and AI automation shape compliance decisions — from AML judgment to audit readiness and regulatory risk perception.

24 Articles Published
4 Research Streams
Q1 2026 Latest Edition
Regulatory Behaviour
Stream 01 · 6 articles
Heuristics, biases, and cognitive shortcuts that distort compliance risk perception in fintech teams and MLROs under regulatory pressure.
AML Decision-Making
Stream 02 · 6 articles
Dual-process theory, framing effects, and groupthink in AML alert triage and suspicious activity judgments.
Enforcement & Psychology
Stream 03 · 6 articles
Loss aversion, prospect theory, and the endowment effect applied to FCA enforcement response and regulatory settlement negotiation.
AI & Compliance Futures
Stream 04 · 6 articles
Temporal discounting, automation bias, and trust calibration in AI-assisted compliance and agentic regulatory systems.
FEATURED / MOST RECENT
P(SAR|D) = P(D|SAR)·P(SAR) / P(D)
Featured Regulatory Behaviour Mar 2026
Mar 2026 · 10 min read

The Availability Heuristic and Systematic Compliance Risk Misjudgment: Implications for AML Detection and Automated Oversight

When the FCA announces a high-profile enforcement action, compliance teams at unaffected fintechs temporarily inflate their own regulatory risk estimates — then revert to systematic under-estimation within months. This paper examines the availability heuristic's role in compliance risk perception, its quantifiable effect on AML triage behaviour, and the structural interventions that AI-native compliance platforms can deploy to counteract it.

7EulerianStrategies Research 10 MIN 1,842 views
SHOWING 8 OF 23 ARTICLES
Interactive Research Tools

The mathematics of
compliance risk.

Four foundational models from decision science and regulatory economics, rendered interactively. Adjust parameters to observe how cognitive and mathematical compliance risk frameworks respond.

01 · Bayesian AML Updating
P(SAR|D) = P(D|SAR) · P(SAR) / P(D)
Prior P(SAR) 0.30
Alert accuracy 0.75
False +ve rate 0.15
Posterior P(SAR|alert): —
Updating prior SAR probability with new transaction anomaly evidence. Critical for understanding how real-time AML signals should shift an MLRO's prior on expected suspicious activity.
02 · Prospect Theory in Compliance
v(x) = x¹ (gains) · −λ(−x)² (losses)
Loss aversion λ 2.25
Gain curve α 0.88
Loss aversion ratio: 2.25× gains
Kahneman & Tversky's (1979) value function explains why MLROs feel a regulatory fine far more acutely than an equivalent compliance investment saving — with implications for how compliance decisions are framed and automated.
03 · Expected Regulatory Loss
E[L] = Σ¹ p¹ · F¹ · (1 − m¹)
P(AML fine) 8%
P(licence action) 3%
Automation m 35%
Expected annual regulatory loss: —
Computes expected regulatory loss across risk categories with compliance automation mitigation applied. The m¹ term represents VIRGIL's intervention effectiveness per regulatory risk class.
04 · AML Signal Detection Theory
d′ = (μ_signal − μ_noise) / σ · β = threshold
Sensitivity d′ 2.0
Threshold β 0.0
Hit rate: — · False +ve: —
Models the tradeoff between missed suspicious transactions and false AML alerts in autonomous compliance monitoring. Critical for calibrating detection thresholds across different fintech risk appetites and regulatory obligations.
Category · Date

Article Title

Author · Read time
Legal Hub

Policies for
regulated clients.

This hub summarises how 7EulerianStrategies and VIRGIL operate from a legal, privacy, and security perspective. All documents are effective from 1 February 2026.