Last verified Oct 21, 2025
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    Tezi

    Human Resources / Talent Acquisition

    HR & RecruitingRecruitingAutonomous AgentTalent AcquisitionSaaS
    Function:Talent Acquisition
    Subfunction:TA operations, compliance & analytics
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    Founded
    2024
    Employees
    1-10
    Funding
    $9M
    Stage
    Seed Stage
    Report version: Oct 21, 2025

    1. Products/Services & Features

    • Main Offerings:

      • Max - Autonomous AI Recruiting Agent
      • End-to-End Recruiting Automation (Sourcing, Screening, Scheduling)
      • Max Lite - Self-Serve Entry-Level Tier
    • Feature Breakdown: Autonomous sourcing from 750M+ candidate profiles; Application screening and review; Interview scheduling; Email outreach and candidate communication; Scorecard collection; ATS integration (Greenhouse, Ashby, Lever); Built-in lightweight ATS; Bias auditing across 18 protected classes; Cannot make rejection decisions; Does not train on customer data (Departments: Talent Acquisition, HR Operations, Recruiting Coordination)

    • Business Industry Gearing: High-growth SaaS, Technology Companies, Startups, Enterprise

    2. Security & Compliance

    • Certifications: SOC 2 Certified, CCPA Compliant, NYC Local Law 144 Compliant, Bias-Audited by Warden AI

    • Vendors/Tools: Warden AI (bias auditing)

    • Risk Profile:

      • Breaches: No known data breaches reported
      • Features: Max cannot make rejection decisions; Third-party bias auditing; Does not train models on customer data; Transparent audit trails; Privacy-first design

    3. User Feedback & Adoption

    • Aggregated Reviews: No public reviews available on G2 or Capterra as of October 2025

      • Pros: Fully autonomous end-to-end recruiting; Reduces manual recruiting workload; Integrates with major ATS platforms; Bias-audited and transparent; Fast setup and deployment; Addresses recruiting scalability challenges
      • Cons: Limited public review data available; Newer product with smaller customer base; Pricing not fully transparent; May require cultural shift in recruiting teams
    • Adoption Insights:

      • Adoption Ease: High - Self-serve setup, no complex IT requirements, 14-day free trial available, designed for quick deployment
      • Adoption Cultural Fit: Moderate to High - Requires shift from manual recruiting to agentic automation; Best fit for high-growth companies and lean recruiting teams; May face resistance from traditional recruiting coordinators
    • Metrics: Not publicly disclosed

    • Barriers: Entry-level job displacement concerns; Recruiting team resistance to automation; Need for cultural buy-in; Pricing transparency; Limited case studies and customer references

    4. Monetization & Business Model

    • Revenue Model: SaaS Subscription - Tiered pricing based on hiring volume

    • Pricing: Max Lite Beta: $25/month (beta-only pricing); Standard SaaS: Estimated ~$10,000/user/year (third-party estimate); Enterprise/Custom: Available upon inquiry (Sources: LinkedIn posts, company website, third-party analyst estimates (HeroHunt, Arena))

    • Market Context:

      • TAM: Global talent acquisition software market; Estimated multi-billion dollar market for recruiting automation
      • Growth Stage: Early Growth - Seed stage company in rapidly expanding agentic AI recruiting space

    5. Leadership & Recent Developments

    Name Description LinkedIn X Account
    Raghavendra Prabhu Co-Founder & CEO - Technical leader with experience at Covariant AI, Thumbtack, Pinterest, Google, and Microsoft; Has hired 300+ people across previous roles; Based in Saratoga, CA https://www.linkedin.com/in/rvprabhu
    Jason James Co-Founder & COO - Product & Design executive; Previously VP of Product at Instacart (IPO 2023), VP Head of Design at Thumbtack, Head of Design at Earnest; Based in Menlo Park, CA https://www.linkedin.com/in/jasontezi
    Joe Totten Chief Revenue Officer (CRO) - Go-to-market and sales leader; Previously at First Round Capital and Etleap; Based in San Francisco Bay Area https://www.linkedin.com/in/joe-totten-31ab9114
    • Key Metrics Update:

      • Funding: Seed Round - $9 million (August 2024); Lead investors: 8VC, Audacious Ventures; Other investors: Afore Capital, Liquid 2 Ventures, South Park Commons, Apoorva Mehta, Marco Zappacosta
      • Employee Growth: Estimated 1-10 employees (LinkedIn shows 17 employees, Crunchbase shows 1-10); Early-stage team
    • News/Trends:

      • News Launch: Max launched in Fall 2024; General Availability announced in 2025; Max Lite beta launched October 2025
      • News Partnerships: Integrations with Greenhouse, Ashby, Lever, Google Calendar, Outlook, Zoom, Google Meetings
      • News Funding: Seed funding of $9 million announced August 2024; Led by 8VC and Audacious Ventures
      • News Challenges: Addressing AI bias in recruiting; Managing expectations around job displacement; Building trust in autonomous hiring decisions

    6. Target Audience & Use Cases

    • Target Market: High-growth SaaS companies, technology startups, enterprises with aggressive hiring needs

    • Target Users & Personas: Talent acquisition leaders, recruiting coordinators, sourcers, HR professionals, founders, heads of talent

    • User Experience Level: Beginner to Intermediate - Designed for ease of use; Self-serve platform; No technical expertise required

    • Key Use Cases:

      • Rapid scaling of hiring for high-growth startups without increasing recruiting headcount
      • Automating repetitive recruiting tasks (sourcing, screening, scheduling) to free up recruiters for strategic work
      • Reducing time-to-hire and improving candidate experience through faster, more consistent screening and scheduling

    7. Impact & Recommendations

    • Measurable Outcomes:

      • Workflow Improvements: Eliminates manual sourcing, screening, and scheduling; Reduces recruiting cycle time; Improves candidate experience; Enables lean recruiting teams; Provides data-driven hiring insights
      • ROI Examples: Estimated 5x-10x ROI vs. alternatives; Reduces recruiting operational costs; Accelerates time-to-hire; Improves hiring consistency and reduces bias
    • Fit Assessment: Excellent fit for high-growth technology companies and startups with aggressive hiring needs; Strong fit for organizations seeking to modernize recruiting operations; Good fit for companies prioritizing recruiting efficiency and cost reduction

    • Custom Rec Flags:

      • Priority ICP: High-growth SaaS companies (Series A-C), technology startups, enterprises with 100+ employees and active recruiting needs
      • Short Term Goals: Expand Max Lite adoption; Build customer case studies and testimonials; Increase market awareness; Achieve product-market fit; Scale customer base

    8. Data Sourcing Notes

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