Last verified Sep 24, 2025
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    Numeric

    AI-powered accounting automation for finance teams

    Finance & AccountingAIaccountingautomationmonth-end close
    Function:Finance & Accounting
    Subfunction:Accounting / Close
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    Founded
    2020
    Employees
    51-200 employees (80 on LinkedIn)
    Funding
    $89M total ($51M Series B Nov 2025, led by IVP)
    Stage
    Growth stage, Series A funded, estimated $1-5M ARR
    Report version: Sep 24, 2025

    1. Products/Services & Features

    • Main Offerings:

      • AI-powered month-end close automation
      • Automated reconciliations and variance analysis
      • Real-time transaction monitoring and flux explanations
    • Feature Breakdown: AI-driven flux analysis, automated reconciliations, real-time transaction monitoring, variance explanations, technical accounting research, ERP integrations, audit trails (Departments: Finance, Accounting, Controller teams)

    • Business Industry Gearing: High-growth SaaS, VC/PE-backed companies, fintech, technology companies

    2. Security & Compliance

    • Certifications: Not publicly disclosed, Not publicly disclosed

    • Vendors/Tools: OpenAI and Anthropic for AI capabilities

    • Risk Profile:

      • Breaches: No known breaches reported
      • Features: Enterprise SSO (SAML), audit trails, secure AI integrations

    3. User Feedback & Adoption

    • Aggregated Reviews: G2: 4.8/5, Capterra: 4.9/5

      • Pros: Easy integration with existing accounting tools, intuitive modern UI, streamlined month-end close process, responsive customer support
      • Cons: Advanced features require extra setup, limited customization for complex workflows
    • Adoption Insights:

      • Adoption Ease: High ease of integration with quick setup and minimal learning curve
      • Adoption Cultural Fit: Training modules and onboarding resources provided, low resistance among finance teams
    • Metrics: Not publicly disclosed

    • Barriers: Initial resistance from staff accustomed to legacy systems, customization limitations for unique close processes

    4. Monetization & Business Model

    • Revenue Model: SaaS subscription with tiered plans (Essentials, Growth, Enterprise)

    • Pricing: Essentials (basic features), Growth (ERP integration), Enterprise (advanced features, SSO) (Sources: Numeric.io pricing page, competitive analysis vs BlackLine/FloQast)

    • Market Context:

      • TAM: Multi-billion dollar accounting automation market
      • Growth Stage: Scaling stage with established product-market fit

    5. Leadership & Recent Developments

    Name Description LinkedIn X Account
    Parker Gilbert Co-Founder & CEO, former finance leader at Hearth, Duke University graduate https://www.linkedin.com/in/parker-gilbert-99483298/
    Anthony Alvernaz Co-Founder & CTO, technical leadership and platform architecture expertise, Duke University graduate https://www.linkedin.com/in/anthony-alvernaz/
    Andrew Bihl Co-Founder & CPO, product management and accounting technology expertise https://www.linkedin.com/in/andrew-bihl/
    • Key Metrics Update:

      • Funding: $28M Series A in October 2024 led by Menlo Ventures
      • Employee Growth: Rapid growth, actively hiring across engineering and go-to-market
    • News/Trends:

      • News Launch: Numeric Intelligence AI platform launched in 2024
      • News Partnerships: Partnership with CrossCountry Consulting for NetSuite implementations
      • News Funding: $28M Series A October 2024, $10M seed May 2024
      • News Challenges: Brand transformation from process automation to data-centric approach

    6. Target Audience & Use Cases

    • Target Market: High-growth SaaS and VC/PE-backed companies up to 500 employees

    • Target Users & Personas: CFOs, Controllers, Senior Accountants, Finance Directors

    • User Experience Level: Entry-level with simple UI and power users with API access

    • Key Use Cases:

      • Automating month-end close processes for finance teams
      • AI-powered variance analysis and flux explanations for controllers
      • Real-time transaction monitoring and anomaly detection for accounting teams

    7. Impact & Recommendations

    • Measurable Outcomes:

      • Workflow Improvements: Reduces manual reconciliation work, accelerates close cycles, improves audit readiness
      • ROI Examples: 50% cost reduction vs BlackLine, faster close cycles, reduced manual errors
    • Fit Assessment: Strong fit for high-growth tech companies with complex accounting needs

    • Custom Rec Flags:

      • Priority ICP: VC/PE-backed SaaS companies with 50-500 employees preparing for IPO
      • Short Term Goals: Expand AI capabilities, grow enterprise customer base, enhance ERP integrations

    8. Data Sourcing Notes

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