Modernize risk, compliance, and reporting
for the regulators you actually answer to.
Financial institutions sit on decades of core systems, complex regulatory regimes, and fragmented data. Verne builds the AI agents, integration layers, and real-time intelligence systems that let modern teams operate against legacy reality.
Modern teams operating
against legacy infrastructure.
These are the patterns we see across retail banks, asset managers, exchanges, and modern financial infrastructure. The constraints are real and engineering-shaped, not cultural.
Core / digital divide
Customer-facing teams need real-time. Core posts overnight. Reconciliation absorbs the gap.
Regulatory complexity
BSA, AML, KYC, MiFID, Basel, FRTB, IFRS 9, each evolves on its own timeline, and they intersect.
Risk model latency
Risk reruns nightly. Markets move intraday. Decisions get made on stale numbers.
Fraud always one step behind
Rule-based fraud lags. ML-based fraud needs feature stores, evaluation, and explainability you didn’t have.
Reporting under audit
Regulators want reproducibility. Spreadsheet-driven reporting can’t deliver it.
AI under regulatory scrutiny
Model risk management (SR 11-7, EU AI Act) demands explainability you can’t bolt on later.
Six systems for risk, reporting,
and transaction intelligence.
Engineered for the model risk, audit, and explainability bar that regulated financial institutions actually carry.
Real-Time Risk Cockpit
Intraday risk recompute with drill-down from portfolio to trade. P99 < 250ms.
Compliance Automation
BSA/AML/KYC workflow automation with grounded review agents and audit-ready evidence chains.
Fraud Detection Platform
ML pipelines with feature stores, monitoring, explainability, and feedback-loop labeling.
Core System Integration
Typed API layers over mainframe and core banking. Real-time projections with eventual reconciliation.
Regulatory Reporting Engine
Continuous data preparation, validation, and filing across regimes. Reproducible per filing.
Customer Intelligence
Unified customer profile across channels with consent boundaries and identity resolution.
A financial operating layer,
composed for audit and latency.
Top to bottom: operator and customer surfaces, intelligence layer, integration over core, data and risk models, source systems, and regulated cloud.
Engineered to the bar
your regulators already hold you to.
We design to the constraints of SR 11-7, EU AI Act, MiFID II, GDPR, and the jurisdictional layers on top. Compliance is engineered in, not layered on.
Model Risk Management
Versioned models, documented assumptions, ongoing validation, eval datasets, drift alerts. SR 11-7 / EU AI Act ready.
Audit Reconstructibility
Every input, model, decision, and override is logged. Any past decision is reproducible from raw data.
Multi-Jurisdiction Posture
Data residency, regional inference, regulatory templating. Configurable per market without forking the codebase.
Explainability by Default
Decisions surface their feature attributions, counterfactuals, and confidence to operators and regulators.
Verne capabilities deployed in this sector.
Bring us your
most complex workflow.
In 7–10 working days, Verne maps your workflows, data sources, repetitive decisions, automation opportunities, and AI risk areas. You receive a prioritized roadmap showing what to automate, integrate, avoid, and build first.