Last verified Sep 24, 2025
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    Inworld Support Agents

    AI for gaming and interactive virtual characters

    AI Agents & VoiceAI NPCsGamingVirtual CharactersAI
    Function:Customer Support
    Subfunction:Chat Support / Chatbots
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    Founded
    2021
    Employees
    70
    Funding
    ~$117M-$133M total ($50M Series A Aug 2023)
    Stage
    Scaling post-Series A with $500M valuation
    Report version: Sep 24, 2025

    1. Products/Services & Features

    • Main Offerings:

      • AI-powered NPCs with humanlike personalities and memory for games
      • Virtual brand ambassadors and sales associates for commerce platforms
      • Interactive training and onboarding AI instructors for AR/VR
    • Feature Breakdown: Character Engine with generative AI, memory systems, personality modeling, multi-modal interaction (speech, gestures, body language), real-time data injection, Project MAP for autonomous action planning (Departments: Game Development, Marketing/Brand Management, Training & Education)

    • Business Industry Gearing: Gaming studios (AAA and mid-size), Brands and enterprises, Training organizations

    2. Security & Compliance

    • Certifications: No public SOC2 certification confirmed, No GDPR or ISO 27001 certifications publicly confirmed

    • Vendors/Tools: No third-party security providers publicly disclosed

    • Risk Profile:

      • Breaches: No known data breaches or security incidents reported
      • Features: No built-in security features like audit trails publicly documented

    3. User Feedback & Adoption

    • Aggregated Reviews: No consolidated ratings on G2 or Capterra available

      • Pros: Easy integration, user-friendly interface, rapid setup and onboarding
      • Cons: Limited comprehensive feature coverage for niche requirements, authenticity concerns with incentivized reviews
    • Adoption Insights:

      • Adoption Ease: High ease of setup and configuration with minimal technical ramp-up
      • Adoption Cultural Fit: Onboarding paths and support materials provided to foster organizational acceptance
    • Metrics: No public churn or NPS metrics disclosed

    • Barriers: Employee skepticism toward AI-driven workflow changes, concerns about review authenticity, legacy system compatibility issues

    4. Monetization & Business Model

    • Revenue Model: Usage-based SaaS model with pay-per-interaction pricing

    • Pricing: Free: 5,000 monthly interactions; Pay-as-you-go: $0.002 per interaction; Pro: $20/month; Enterprise/Custom: pricing not public (Sources: https://docs.inworld.ai/docs/resources/billing, https://www.cujobay.com/events/inworld-announces-new-pricing-structure)

    • Market Context:

      • TAM: $5-15 billion by 2025-2027 for AI gaming/virtual character platforms
      • Growth Stage: Scaling growth stage with substantial VC funding and commercial partnerships

    5. Leadership & Recent Developments

    Name Description LinkedIn X Account
    Kylan Gibbs CEO, previously led generative model development at DeepMind and machine learning at Bain & Company
    Ilya Gelfenbeyn Executive Chairman (formerly CEO), co-founder with deep expertise in conversational AI
    Michael Ermolenko CTO, technical co-founder with background in AI and machine learning
    • Key Metrics Update:

      • Funding: $50M Series B led by Lightspeed Venture Partners (August 2023)
      • Employee Growth: +35% YoY employee growth in 2024
    • News/Trends:

      • News Launch: Expanded Mutations function and Real-Time Data Injection launched June 2024
      • News Partnerships: Integrated with NVIDIA and Oracle Cloud Infrastructure in 2024
      • News Funding: $50M Series B at $500M valuation (August 2023)
      • News Challenges: No significant pivots or strategic shifts reported in 2024

    6. Target Audience & Use Cases

    • Target Market: Gaming studios (AAA and mid-size developers), Brands and enterprises for marketing/virtual commerce

    • Target Users & Personas: Game designers and developers, Creative teams in marketing/brand management, Training & education professionals

    • User Experience Level: Professional and technical users with API integration capabilities, accessible to creative teams with high-level customization UI

    • Key Use Cases:

      • AI-powered NPCs in games with humanlike personalities and adaptive behavior
      • Virtual brand ambassadors delivering real-time product advice in digital platforms
      • Interactive training and onboarding with custom AI instructors in AR/VR settings

    7. Impact & Recommendations

    • Measurable Outcomes:

      • Workflow Improvements: Enhanced game immersion through advanced AI NPCs, 24/7 customer engagement via virtual assistants, personalized learning experiences
      • ROI Examples: Improved player engagement and retention in games, reduced customer service costs through AI automation, enhanced training effectiveness
    • Fit Assessment: Strong fit for gaming studios and brands seeking advanced AI character solutions

    • Custom Rec Flags:

      • Priority ICP: AAA and mid-size game developers, marketing teams at enterprise brands
      • Short Term Goals: Expand platform features, grow developer ecosystem, increase commercial partnerships

    8. Data Sourcing Notes

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