S

Skyflow

Security & Data Governance

Data & AnalyticsData PrivacySecurityComplianceData Vault
Function:Security
Subfunction:Data Governance
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Founded
2019
Employees
101-250 employees (~149)
Funding
$100M total
Stage
Series B (raised $27-30M in March 2024\)
Report version: Oct 24, 2025

1. Products/Services & Features

  • Main Offerings:

    • Data Privacy Vault - Zero-trust architecture for isolating, protecting, and governing sensitive data
    • Polymorphic Encryption - Patented encryption technology for data protection at rest, in transit, and in use
    • Agentic AI Security - MCP data security for AI agents and autonomous workflows
  • Feature Breakdown: Data Privacy Vault with tokenization and de-identification; Polymorphic encryption; Fine-grained access controls (RBAC, ABAC, PBAC); Audit logging and compliance reporting; Multi-cloud support (AWS, Google Cloud); Native integrations with BigQuery, Firestore, Cloud SQL, ServiceNow, MuleSoft; Global data residency enforcement; Bring Your Own Keys (BYOK) option (Departments: Security, Compliance, Data Governance, IT Operations, Engineering)

  • Business Industry Gearing: Highly geared toward regulated industries: Healthcare (HIPAA), Financial Services (PCI DSS), Retail, Travel & Hospitality

2. Security & Compliance

  • Certifications: SOC 2 Type 2 Certified, ISO 27001 Certified, PCI DSS Level 1 Certified, HIPAA Assessed and Eligible, GDPR Compliant, EU AI Act Compliant

  • Vendors/Tools: AWS (cloud infrastructure), Google Cloud, Cloudflare, LetsEncrypt

  • Risk Profile:

    • Breaches: No known public security breaches reported
    • Features: Continuous audit trails, polymorphic encryption, zero-trust architecture, data residency controls, compliance automation dashboards

3. User Feedback & Adoption

  • Aggregated Reviews: 5.0/5 stars on G2 (2 verified reviews); Limited review volume on major platforms

    • Pros: Strong security posture with SOC 2 Type 2 certification; Multi-cloud flexibility; Seamless integration with enterprise platforms; Privacy-by-design architecture; Comprehensive compliance support
    • Cons: Limited public customer reviews available; Enterprise pricing may be high for smaller organizations; Requires direct sales engagement for custom pricing
  • Adoption Insights:

    • Adoption Ease: Moderate - Requires security and compliance expertise; SDKs and APIs available for developers; Enterprise support available
    • Adoption Cultural Fit: High for regulated industries and enterprises with strong data governance requirements; Lower for SMBs without complex compliance needs
  • Metrics: Not publicly disclosed; Strong customer retention indicated by Fortune 500 adoption

  • Barriers: High implementation complexity; Requires organizational buy-in from security and compliance teams; Custom pricing negotiations; Integration with legacy systems

4. Monetization & Business Model

  • Revenue Model: Custom enterprise SaaS with negotiated contracts; Usage-based pricing tied to data subjects protected and compliance features; Entry-level cloud marketplace offerings starting at $500/month

  • Pricing: Starter: $500/month (AWS Marketplace); Professional/Mid-Market: Custom pricing; Enterprise: ~$195,000+/year (negotiated); Supersonic: Custom enterprise solutions (Sources: AWS Marketplace, Vendr, company direct sales)

  • Market Context:

    • TAM: Data privacy and governance market estimated at $10+ billion; Growing rapidly due to regulatory expansion (GDPR, CCPA, DPDP, EU AI Act)
    • Growth Stage: Growth stage; Strong momentum in healthcare, fintech, and regulated sectors

5. Leadership & Recent Developments

Name Description LinkedIn X Account
Anshu Sharma Co-founder & CEO; Former VP at Salesforce; Experienced startup investor in 50+ companies; Background in cloud computing and enterprise software https://www.linkedin.com/in/toanshu https://x.com/toanshu
Roshmik Saha Co-founder, Engineering; 15+ years technical experience; Previously at Microsoft and Lyft Autonomous Vehicle Platform; Keynote speaker on AI security and privacy https://www.linkedin.com/in/roshmiksaha https://x.com/roshmiksaha
Amruta Moktali Chief Product Officer; Product leadership background at Cleo, Salesforce, and Microsoft; Focus on privacy-by-design and compliance automation https://www.linkedin.com/in/amrutamoktali
  • Key Metrics Update:

    • Funding: Series B: $27-30 million (March 2024) led by Khosla Ventures
    • Employee Growth: Estimated 101-250 employees as of early 2024; Growing team with offices in Palo Alto and Bangalore
  • News/Trends:

    • News Launch: AI Data Security Platform on Google Cloud Marketplace (October 2025); MCP Data Security for Enterprises and SaaS (August 2025)
    • News Partnerships: Google Cloud partnership and marketplace availability; ServiceNow integration for global data residency; Ongoing integrations with BigQuery, Firestore, Cloud SQL
    • News Funding: Series B funding of $27-30M in March 2024 led by Khosla Ventures; Total funding $97-100M
    • News Challenges: Regulatory complexity with evolving global data privacy laws (DPDP Act in India, EU AI Act); Customer hesitation in regulated sectors due to data exposure concerns; Need for continuous compliance tooling updates

6. Target Audience & Use Cases

  • Target Market: Fortune 500 and growth companies in financial services, healthcare, travel & hospitality, retail, and digital natives

  • Target Users & Personas: CISOs, Security Teams, Data Governance Professionals, Compliance Officers, IT Architects, Data Engineers

  • User Experience Level: Advanced - Requires security and compliance expertise; Technical implementation by engineers and architects

  • Key Use Cases:

    • Healthcare organizations protecting PHI/PII across EHRs, claims, and genomics data while enabling secure AI/ML model training
    • Financial services firms protecting PCI data and customer information across global operations with multi-cloud compliance
    • Enterprises deploying AI agents and agentic automation while maintaining data privacy and regulatory compliance

7. Impact & Recommendations

  • Measurable Outcomes:

    • Workflow Improvements: Centralized data governance and policy management; Automated compliance reporting and audit trails; Reduced time to market for privacy-compliant applications; Simplified multi-cloud data operations
    • ROI Examples: Reduced compliance audit costs through automated reporting; Faster product development by eliminating custom privacy infrastructure; Reduced breach risk and associated costs; Improved customer trust through privacy-by-design
  • Fit Assessment: Excellent fit for regulated enterprises with complex data governance needs; Strong fit for organizations adopting AI and requiring data privacy; Lower fit for SMBs without significant compliance requirements

  • Custom Rec Flags:

    • Priority ICP: Fortune 500 companies in healthcare, financial services, and retail; Growth-stage companies in regulated industries; Enterprises with multi-cloud strategies
    • Short Term Goals: Expand Google Cloud marketplace presence; Drive adoption of MCP data security for AI agents; Grow APAC presence, especially in India post-DPDP Act

8. Data Sourcing Notes

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