Last verified Oct 20, 2025
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    CalypsoAI Platform

    Artificial Intelligence, Machine Learning, Data Science, Software, Large Language Models, AI Security

    Security & ComplianceSecurityAIComplianceRisk Management
    Function:Security
    Subfunction:Regulatory Compliance
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    Founded
    2018
    Employees
    71
    Funding
    $180M acquisition by F5 (Sept 2025); ~$40M raised prior
    Stage
    $18.9 million estimated annual revenue; Acquired by F5 in September 2025
    Report version: Oct 20, 2025

    1. Products/Services & Features

    • Main Offerings:

      • Inference Platform - Real-time AI security, threat detection, and compliance monitoring
      • Red-Team Services - Continuous adversarial testing and vulnerability assessment for AI models
      • AI Guardrails - Customizable security scanners and policy enforcement for AI applications
    • Feature Breakdown: Real-time observability and monitoring; Adversarial attack detection and red-teaming; Prompt injection and jailbreak protection; Data leakage prevention; Policy violation monitoring; Audit-ready compliance features; Integration with enterprise security systems; Customizable risk scanners; Model evaluation and assessment; Continuous testing and defense (Departments: Security, Compliance, Risk Management, Engineering, Data Science, Product Management)

    • Business Industry Gearing: High - Designed for heavily regulated industries (finance, healthcare, defense, government, high-growth SaaS)

    2. Security & Compliance

    • Certifications: SOC 2 Type 2 Certified, ISO 27001 in progress; GDPR compliant

    • Vendors/Tools: Integrates with enterprise SIEM and SOAR systems; Compatible with major cloud providers and LLM platforms

    • Risk Profile:

      • Breaches: No reported breaches attributed to CalypsoAI platform
      • Features: SOC 2 Type 2 certification; Third-party risk management evaluation; Audit trails and structured logging; Real-time compliance controls; Privacy policy; GDPR enforcement

    3. User Feedback & Adoption

    • Aggregated Reviews: Generally positive on G2; Users praise real-time security insights, ease of integration, and robust support

      • Pros: Advanced AI observability and monitoring; Effective safeguards against adversarial attacks; Comprehensive compliance and audit features; Seamless API integration; Responsive customer support; Valuable for high-security industries
      • Cons: Model evaluation speed could be faster; Limited review volume compared to larger competitors; Some reviews collected with incentives
    • Adoption Insights:

      • Adoption Ease: High - Seamless integration via APIs; Straightforward to use; Fits existing workflows without costly overhauls
      • Adoption Cultural Fit: High - Designed for security-conscious, compliance-focused organizations; Appeals to engineering-driven teams with strong regulatory requirements
    • Metrics:

    • Barriers: Desire for faster model evaluation processes; Need for faster red-team assessment cycles; Potential cost considerations for enterprise deployments

    4. Monetization & Business Model

    • Revenue Model: SaaS subscription with tiered pricing; Enterprise licensing; Usage-based add-ons; Per-user/seat pricing

    • Pricing: Multiple subscription tiers with increasing features and capacity; Enterprise custom agreements; Usage-based components for API calls and data processing (Sources: Exact pricing not publicly disclosed; Industry-standard SaaS pricing practices; Direct sales for enterprise agreements)

    • Market Context:

      • TAM: Enterprise AI security market; Estimated multi-billion dollar TAM given rapid GenAI adoption and regulatory requirements
      • Growth Stage: High-growth; Rapidly expanding as enterprises scale AI adoption and face increasing compliance pressures

    5. Leadership & Recent Developments

    Name Description LinkedIn X Account
    Donnchadh Casey Chief Executive Officer; Joined CalypsoAI in 2024 as COO, promoted to CEO in August 2024; 20+ years of leadership experience from Qualtrics (Chief Customer Officer, helped scale to $1.8B ARR) and McKinsey; Focuses on secure and responsible enterprise AI adoption https://www.linkedin.com/in/donnchadh-casey/
    James White President and Chief Technology Officer; Founding engineer and technical visionary; Nearly 20 years of engineering and data science leadership from Mandiant, FireEye, and Qualtrics; Drives technical innovation and builds high-performing teams https://ie.linkedin.com/in/james-white-13ba422
    Neil Serebryany Co-founder (2018); Former CEO; Transitioned to board member role in August 2024; Background in U.S. intelligence community and national security innovation; Helped define company's strategic direction and product evolution https://fr.linkedin.com/in/neil-serebryany
    • Key Metrics Update:

      • Funding: Series unknown, $5 million raised in May 2025; Total $40 million raised before F5 acquisition in September 2025
      • Employee Growth: 71 employees as of October 2025; Expanded Dublin center of excellence in 2023 with plans to double headcount
    • News/Trends:

      • News Launch: CalypsoAI launched as adaptive AI security platform in 2018; Expanded SaaS offerings in 2024; Introduced AI Assistant for guardrail creation in 2025
      • News Partnerships: F5 acquisition announced September 2025; Integration into F5 Application Delivery and Security Platform (ADSP); Partnerships with major enterprises including Palantir
      • News Funding: $5 million funding round in May 2025 following RSA Innovation Sandbox finalist recognition; Total $40 million raised before F5 acquisition
      • News Challenges: Model evaluation speed improvements needed; Scaling to meet enterprise demand; Integration with F5 post-acquisition

    6. Target Audience & Use Cases

    • Target Market: Large enterprises in heavily regulated industries; High-growth SaaS companies; VC/PE-backed organizations; Financial services, healthcare, defense, government, critical infrastructure

    • Target Users & Personas: Security teams, compliance officers, engineers, data scientists, ML ops teams, risk managers, CISOs

    • User Experience Level: Intermediate to Advanced - Designed for enterprise security and engineering teams with technical expertise

    • Key Use Cases:

      • Financial institutions deploying AI for customer-facing or mission-critical operations requiring compliance and security
      • High-growth SaaS companies integrating generative AI capabilities while protecting customer data and meeting compliance standards
      • Government and defense organizations securing AI systems against adversarial attacks and ensuring regulatory compliance

    7. Impact & Recommendations

    • Measurable Outcomes:

      • Workflow Improvements: Real-time threat detection reduces security incident response time; Automated compliance monitoring streamlines audit processes; Continuous red-teaming identifies vulnerabilities before deployment; Customizable guardrails enable rapid, secure AI application development
      • ROI Examples: Reduced security incident costs through early threat detection; Faster time-to-market for AI applications with built-in compliance; Reduced audit and compliance costs through automated monitoring; Avoided regulatory fines through proactive compliance enforcement
    • Fit Assessment: Excellent fit for security-focused, compliance-heavy organizations deploying AI at scale; Strong appeal to enterprises in regulated industries; High value for organizations prioritizing AI governance and risk management

    • Custom Rec Flags:

      • Priority ICP: Enterprise financial services firms; Large SaaS companies with significant AI investments; Government and defense agencies; Healthcare organizations deploying AI; Organizations with strong compliance requirements
      • Short Term Goals: Integrate CalypsoAI capabilities into F5 ADSP; Expand enterprise customer base; Enhance model evaluation speed; Strengthen ISO 27001 certification pursuit

    8. Data Sourcing Notes

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