Last verified Oct 20, 2025
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    Alva Labs

    Talent Acquisition & HR Technology

    HR & RecruitingAIPsychometric TestingCandidate AssessmentHiring
    Function:Talent Acquisition
    Subfunction:Screening & assessments
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    Founded
    2017
    Employees
    51-100 employees (~65)
    Funding
    $14.2M (EUR 11.7M / $13.3M Series A, 2022)
    Stage
    Series A (2022)
    Report version: Oct 20, 2025

    1. Products/Services & Features

    • Main Offerings:

      • Psychometric assessments (personality, logic, leadership, coding tests)
      • Candidate screening and evaluation platform
      • Hiring system with data-driven insights and analytics
    • Feature Breakdown: Personality assessments, Logic tests, Leadership assessments, Coding tests, ATS integrations, Analytics dashboard, Candidate experience optimization, Bias detection and mitigation, Team fit analysis, Unlimited users and candidates per subscription tier (Departments: HR, Talent Acquisition, Recruiting, People Operations)

    • Business Industry Gearing: Enterprise and mid-market organizations with dedicated TA functions; particularly strong in Nordics and UK; expanding globally

    2. Security & Compliance

    • Certifications: Not certified (as of October 2025), ISO 27001 (Information Security Management), GDPR Compliant, ISO/IEC 42001 (Responsible AI), ISO 10667-2 (Fairness and Quality in Workplace Assessments)

    • Vendors/Tools: Not specified in available sources

    • Risk Profile:

      • Breaches: No published record of significant security breaches
      • Features: ISO 27001 certification ensures systematic audit trails, access controls, and incident response; GDPR compliance mandates breach notification and data access logs; ISO/IEC 42001 certification covers responsible AI governance

    3. User Feedback & Adoption

    • Aggregated Reviews: Positive reviews on G2 and Capterra; users highlight ease of use, reliability (93% uptime), strong customer support (9.3/10), and effective integrations (87% positive feedback)

      • Pros: Super user-friendly interface, exceptional customer support, high uptime and reliability, excellent ATS integrations, strong analytics features, time-saving automation, effective bias reduction
      • Cons: Limited transparency in analytics depth, some users want more advanced features (mobile, simulations), public perception data could be clearer
    • Adoption Insights:

      • Adoption Ease: High - intuitive interface, easy setup, strong onboarding support from customer success teams
      • Adoption Cultural Fit: Excellent for organizations committed to fair, evidence-based hiring; aligns with diversity and inclusion initiatives; requires buy-in from HR and TA leadership
    • Metrics: Not publicly disclosed; strong customer retention indicated by 600+ enterprise customers and positive reviews

    • Barriers: Initial learning curve for assessment interpretation; requires organizational commitment to data-driven hiring; potential resistance from hiring managers accustomed to traditional CV-based screening

    4. Monetization & Business Model

    • Revenue Model: SaaS subscription model based on number of hires per year; Pay-As-You-Go option also available

    • Pricing: Pay-As-You-Go: $390 USD per job position; Grow Plan: $289/month (10 hires/year, billed annually); Scale Plan: $799/month (10 hires/year, billed annually); Enterprise: Custom pricing (Sources: https://www.alvalabs.io/pricing, G2, Capterra, comparison sites)

    • Market Context:

      • TAM: Global HR technology and talent acquisition market estimated at $20B+; psychometric assessment segment growing at 8-10% CAGR
      • Growth Stage: Growth stage; expanding internationally from Nordic base; recognized as one of Sweden's top 22 SaaS rising stars (Breakit 2025)

    5. Leadership & Recent Developments

    Name Description LinkedIn X Account
    Malcolm Burenstam Linder Founder & CEO; Background in business and economics from Stockholm School of Economics; prior experience at EQT Partners (venture fund); founded Alva Labs to create fair, data-driven recruitment https://se.linkedin.com/in/malcolmburenstamlinder N/A
    Björn Ström Co-founder & CTO; Technical co-founder responsible for product development and engineering; expertise in machine learning and data science https://se.linkedin.com/in/bjornstrom N/A
    Shahab Sayardoust Advisor; Licensed psychologist with expertise in leadership assessment and organizational psychology; brings scientific rigor to psychometric testing methodology https://se.linkedin.com/in/shahabomino N/A
    • Key Metrics Update:

      • Funding: Series A: $13.3M (January 2022) led by VNV Global
      • Employee Growth: Approximately 72 employees as of October 2025; company has grown from startup to enterprise-scale operations
    • News/Trends:

      • News Launch: ISO/IEC 42001 certification achieved (October 2025); Named one of Breakit's 22 rising SaaS stars in Sweden (October 2025)
      • News Partnerships: Partnership with Ving Sverige for large-scale hiring; Integration with We Select's Talent Software (May 2025); Partnerships with Deloitte, Daniel Wellington, Arla, and 600+ enterprises
      • News Funding: Series A funding of $13.3M in January 2022; no recent Series B announced as of October 2025
      • News Challenges: Expanding internationally while maintaining product quality; competing with established players like TestGorilla and Vervoe; navigating evolving AI regulations

    6. Target Audience & Use Cases

    • Target Market: Enterprise and mid-market organizations (51-200+ employees) with dedicated HR and TA functions; companies prioritizing fair, data-driven hiring

    • Target Users & Personas: HR professionals, Talent Acquisition managers, Recruiters, HR directors, People Operations teams

    • User Experience Level: Intermediate to Advanced; users typically have HR/TA background; platform designed for both technical and non-technical users

    • Key Use Cases:

      • Large-scale hiring: Companies hiring 100+ candidates annually use Alva to streamline screening and reduce time-to-hire by up to 60%
      • Bias reduction and diversity: Organizations implementing DEI initiatives use psychometric assessments to remove CV bias and identify diverse talent pools
      • Predictive hiring accuracy: Companies seeking to reduce failed hires and improve retention use Alva's science-backed assessments to predict job success

    7. Impact & Recommendations

    • Measurable Outcomes:

      • Workflow Improvements: Reduces time-to-hire, improves hiring accuracy, eliminates CV bias, provides objective candidate comparison, integrates with existing ATS, enables data-driven hiring decisions, improves candidate experience
      • ROI Examples: Customers report 33% reduction in hiring failures within probation; 26% fewer offer declines due to improved candidate experience; top performers identified as 125-800% more productive than average peers
    • Fit Assessment: Excellent fit for enterprise TA teams seeking fair, efficient, science-backed hiring; strong product-market fit in Nordics; expanding fit in UK and North America

    • Custom Rec Flags:

      • Priority ICP: Mid-market to enterprise organizations (200-5000+ employees) with high hiring volumes, dedicated TA teams, and commitment to fair hiring practices
      • Short Term Goals: Expand international presence beyond Nordics and UK; achieve Series B funding; expand product capabilities (e.g., advanced analytics, mobile); increase market share in North America

    8. Data Sourcing Notes

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