ISA

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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