Corveil for Finance

Visibility into AI-powered research, modeling, and reporting across every desk

365x
More data points
than quarterly reporting
Real-time
Spend visibility
by desk, team, and model
Zero
Manual reporting
intelligence from natural usage

The Blind Spot in Financial AI Adoption

  • Analysts, traders, and advisors use AI for research, modeling, and reporting — but compliance and leadership have no visibility into what's being queried.
  • Redundant analysis happens across desks because there's no cross-team intelligence on what research has already been done.
  • SEC/FINRA compliance requires guardrails around material nonpublic information, client data boundaries, and PII — most AI tools offer none.
  • AI model spend is growing fast but nobody can attribute costs to specific desks, teams, or use cases.

Intelligence Built for Financial Services

Cross-Desk Intelligence

Detect redundant analysis across trading desks and research teams. Surface shared insights that would otherwise stay siloed.

Knowledge Graph

Spend Attribution

Real-time AI cost tracking by desk, team, model, and use case. Budget caps with alerts before overruns happen.

Gateway

MNPI Guardrails

Content filtering rules to detect and block material nonpublic information before it reaches external AI providers.

Guardrails

Client Data Boundaries

Virtual API keys scoped per engagement ensure client data never crosses information barriers.

Guardrails

Research Activity Intelligence

Daily summaries of what analysts are researching, modeling, and producing across the organization.

Insights

Model Usage Optimization

Identify which models deliver the best results for specific use cases and optimize spend allocation.

Insights

Eliminate Redundant Research Across Desks

  • Knowledge graphmaps which analysts are working on which topics, companies, and sectors — visible across the organization.
  • Duplicate detectionsurface when multiple desks are independently researching the same companies or market themes.
  • Expertise directoryauto-built profiles of analyst specializations from their natural AI usage.
  • Trend detectionidentify emerging research themes and shifts in analytical focus as they happen.

SEC/FINRA Audit Trails

Complete request/response logging with user identity, desk attribution, and timestamps for regulatory examinations.

Information Barriers

Virtual API keys enforce data boundaries between client engagements. Guardrails prevent cross-contamination.

Compliance That Doesn't Slow Down Trading

  • Information barriersscoped API keys enforce data boundaries between client engagements and trading desks.
  • PII and MNPI filterspre-call guardrails catch sensitive data before it reaches external providers.
  • Full audit trailevery AI query logged with user identity, desk, timestamp, and response — ready for regulatory review.
  • Zero workflow frictionguardrails run inline. Analysts don't change their tools or behavior.

PII & MNPI Detection

Pre-call content filtering catches personally identifiable and material nonpublic information before external transmission.

Self-Hosted Deployment

Runs within your infrastructure. No client data or proprietary research reaches third-party logging services.

Built-In Financial Compliance

SEC/FINRA Audit Trails

Complete request/response logging with user identity, desk attribution, and timestamps for regulatory examinations.

Information Barriers

Virtual API keys enforce data boundaries between client engagements. Guardrails prevent cross-contamination.

PII & MNPI Detection

Pre-call content filtering catches personally identifiable and material nonpublic information before external transmission.

Self-Hosted Deployment

Runs within your infrastructure. No client data or proprietary research reaches third-party logging services.

We caught three desks independently modeling the same acquisition target. The knowledge graph paid for itself in the first week.
Head of Research TechnologyGlobal Investment Bank

Finance Questions

Does Corveil meet SEC/FINRA recordkeeping requirements?

Corveil provides complete audit trails of every AI interaction including request content, response content, user identity, timestamps, and model used. Logs are stored in your infrastructure and can be exported for regulatory examinations.

How does Corveil enforce information barriers?

Virtual API keys are scoped per desk, team, or engagement. Each key can have independent guardrail configurations and model access controls. The knowledge graph respects these boundaries — cross-desk intelligence is only surfaced to authorized users.

Can Corveil detect material nonpublic information?

Corveil's guardrail pipeline supports configurable content filters that run before requests reach external providers. You can define rules to detect and block patterns associated with MNPI, client names, or sensitive financial data.

How does spend attribution work?

Every AI request is tagged with the user, team, API key, and model. The analytics dashboard shows real-time spend breakdowns by any dimension. Budget caps can be set per-user, per-key, or per-team with alerts and hard limits.