Last verified Sep 24, 2025
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    SteelEye - AI Copilot logo

    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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