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SteelEye - AI Copilot

Compliance technology (RegTech) and AI-powered communications and trade surveillance for regulated financial services firms

AI Agents & VoiceRegTechComplianceTrade SurveillanceCommunications Surveillance
Function:Finance & Accounting
Subfunction:Regulatory Reporting
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Founded
2017
Employees
51-100 employees
Funding
$31M total funding across 5 rounds
Stage
$14.7M revenue; scaling post-Series B
Report version: Sep 24, 2025

1. Products/Services & Features

  • Main Offerings:

    • AI-powered Compliance CoPilot for automated alert prioritization and investigation
    • Integrated trade and communications surveillance platform
    • Voice transcription and analysis for compliance monitoring
  • Feature Breakdown: AI alert scoring and prioritization, automated rationale generation, LLM-powered investigation assistance, integrated trade and communications data analysis, voice transcription capabilities, real-time threat detection (Departments: Compliance, Risk Management, Surveillance, Legal)

  • Business Industry Gearing: Banks, brokers, investment managers, hedge funds, and other regulated financial institutions

2. Security & Compliance

  • Certifications: SOC 2 certified, renewed March 18, 2025, ISO 27001 certified (renewed March 2025), GDPR compliant, DORA-aligned controls

  • Vendors/Tools: A-LIGN (auditor), Cloudflare (CDN/security), enterprise-grade infrastructure

  • Risk Profile:

    • Breaches: No reported security incidents or compliance gaps as of September 2025
    • Features: Data encryption (in transit and at rest), granular access controls, audit trails, real-time threat detection, disaster recovery mechanisms

3. User Feedback & Adoption

  • Aggregated Reviews: No published G2 or Capterra ratings for Compliance CoPilot specifically

    • Pros: 90% reduction in alert review time, intelligent prioritization, seamless workflow integration, automated rationale generation
    • Cons: No consistent negatives reported; potential initial skepticism around AI accuracy in regulated environments
  • Adoption Insights:

    • Adoption Ease: Seamless integration into existing SteelEye workflows, intuitive UI for compliance staff
    • Adoption Cultural Fit: Designed to complement human analysts rather than replace them, focuses on efficiency gains
  • Metrics: No public churn rate or NPS data available

  • Barriers: Industry-wide trust-building around AI recommendations, high compliance staff workloads

4. Monetization & Business Model

  • Revenue Model: SaaS subscription with usage-based add-ons for regulated firms seeking integrated surveillance

  • Pricing: Enterprise pricing not publicly disclosed; demo booking required for pricing (Sources: SteelEye product pages, industry standard compliance SaaS pricing models)

  • Market Context:

    • TAM: Global RegTech market estimated at ~$22B in 2025
    • Growth Stage: Scaling post-Series B, expanding product integration capabilities

5. Leadership & Recent Developments

Name Description LinkedIn X Account
Matt Smith CEO and Co-Founder, recognized as RegTech Industry Professional of the Year https://www.linkedin.com/in/matt-smith-4f38
David Haines CTO and Co-Founder, leads technology innovation and platform development https://www.linkedin.com/in/david-haines-3
Matthew Storey CPO and Co-Founder, oversees product strategy and development https://www.linkedin.com/in/matthew-storey
  • Key Metrics Update:

    • Funding: Series B ($21M, 2022) led by Ten Coves Capital
    • Employee Growth: Approximately 20% year-over-year growth
  • News/Trends:

    • News Launch: Expanded Compliance CoPilot to trade surveillance (September 2024), reducing alert investigation time by up to 90%
    • News Partnerships: Strategic partnership with Verint Financial Compliance for voice surveillance capabilities
    • News Funding: Series B funding round completed in 2022 with Ten Coves Capital as lead investor
    • News Challenges: Industry-wide compliance cost pressures and need for AI-powered efficiency gains

6. Target Audience & Use Cases

  • Target Market: Regulated financial institutions including banks, brokers, and investment managers requiring trade and communications surveillance

  • Target Users & Personas: Compliance officers, surveillance analysts, risk management teams

  • User Experience Level: Designed for compliance professionals with intuitive UI and advanced AI capabilities

  • Key Use Cases:

    • Automated prioritization and triage of trade/communications alerts to focus on high-risk cases
    • AI-generated rationale and recommendations for alert investigations and resolution
    • Voice and messaging surveillance to identify market abuse, collusion, and misconduct

7. Impact & Recommendations

  • Measurable Outcomes:

    • Workflow Improvements: 90% reduction in alert review time, automated scoring and prioritization, streamlined investigation workflows
    • ROI Examples: Significant time savings for compliance teams, reduced false positives, improved risk detection accuracy
  • Fit Assessment: Strong fit for regulated financial institutions with high compliance burdens and complex surveillance needs

  • Custom Rec Flags:

    • Priority ICP: Mid-to-large banks, investment managers, and brokers with existing compliance infrastructure
    • Short Term Goals: Continued expansion of AI capabilities, integration enhancements, market penetration in APAC region

8. Data Sourcing Notes

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