CTMLAB
By CTMLABAIGame TestCore is an AI-powered framework revolutionizing game testing by automating quality assurance for modern video games. Built on advanced machine learning and high-performance backend systems, it enables AI to rapidly learn and test diverse game scenarios, detecting bugs, performance issues, and visual glitches across platforms. Designed to reduce testing costs by up to 70% compared to manual QA through optimized backend efficiency, it accelerates time-to-market for the $300 billion gaming industry. Leveraging my expertise in scaling AI-ready systems (e.g., 15x AWS cost reduction at Dubai Police) and award-winning AI innovation (2nd place, 2018 Unity ML-Agents Challenge), AIGame TestCore integrates with Unity and Unreal Engine, positioning it to lead the AI-driven testing market.
- Stage
- In production
- Industries
- Media and entertainment
- Education
- Deployment
- Hybrid
Why it is worth it
- Proprietary Backend Optimizations: Leveraging my 15x AWS cost reduction expertise, our data pipelines scale AI testing for millions of scenarios, targeting 70% cost savings, surpassing competitors like Test.ai and modl.ai. - Closed-Loop Bug Fixing: AI agents detect and propose fixes for turn-based, 2D, and 3D action games, with human-in-the-loop feedback ensuring precision, a feature absent in GameDriver or Nunu.ai. - Cross-Genre Versatility: Seamlessly supports diverse game types, with plans for VR/mobile, unlike Unity-focused competitors. - Advanced Tech Stack: Powered by NVIDIA RTX PRO 6000 GPUs and TensorRT, ensuring high-speed testing. - Proven Traction: Validated by 20% VNG portfolio adoption, driving superior quality and faster releases.
- High QA Costs: Manual testing consumes significant budgets due to large teams. AIGame TestCore automates testing with LLMs for test case generation and RL for bug detection, targeting 70% cost savings over manual QA (Unity ML-Agents GitHub).
- Slow Testing Cycles: Complex, cross-platform games delay releases. Our AI agents, powered by NVIDIA RTX PRO 6000 GPUs, accelerate testing by simulating millions of scenarios, slashing time-to-market.
- Inconsistent Quality: Missed bugs lead to costly post-release fixes. Closed-loop AI suggests fixes, with human-in-the-loop feedback ensuring superior quality.
- Scalability Challenges: My backend optimizations enable AI to handle vast test cases, scaling QA for multiplayer and open-world games.
Opening the deck…
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Best customer profile
- Mid-Sized Studios (50–200 employees): Indie and mid-tier developers building cross-platform games (e.g., mobile, PC, console) need cost-effective QA to reduce testing costs by up to 70%. They value AIGame TestCore’s automated test case generation via LLMs and bug detection to deliver polished games on tight budgets.
- Large AAA Studios (200+ employees): Major developers creating complex, multiplayer, or open-world titles require scalable QA for millions of test cases. They benefit from our closed-loop AI agents, powered by NVIDIA RTX PRO 6000 GPUs, which detect and propose fixes, ensuring superior quality and faster releases.
- Specific Needs: Studios using Unity or Ultra Engine, prioritizing reduced post-release fixes, and seeking AI-driven QA to streamline development and enhance player satisfaction.
Notable paying customers
- - VNG Corporation: Secured pilot adoption for 20% of VNG’s game portfolio, a leading Southeast Asian gaming company, testing turn-based, 2D, and 3D action games. Demonstrated 60% testing time reduction, paving the way for paid contracts. - Mid-Sized Studios: Conducted PoCs with three mid-sized studios (50–200 employees), showcasing automated QA for Unity-based games, targeting 70% cost savings. Negotiations for paid agreements are underway. - Future Pipeline: Actively pursuing partnerships with AAA studios (e.g., Tencent, EA) to expand logos, leveraging VNG’s success and proprietary backend optimizations for scalable, high-quality QA.
Year 1 (2025–2026): Finalize MVP for turn-based, 2D, and 3D action game QA using Unity ML-Agents, PyTorch, LLMs, and NVIDIA RTX PRO 6000 GPUs. Conduct PoCs with five mid-sized studios (50–200 employees), targeting 60% testing time reduction. Validate 20% VNG game portfolio adoption for mobile and PC games. Raise $500K pre-seed funding. Year 2 (2026–2027): Enhance closed-loop bug fixing with AI-driven patch suggestions and human-in-the-loop feedback. Secure pilot agreements with two AAA studios and 10% revenue from VNG adoption. Expand to VR game testing. Raise $1.5M seed funding. Year 3 (2027–2028): Scale to mobile and cloud-based games, integrating advanced LLM-driven analytics for player behavior. Achieve 70% cost savings across 10 studio partnerships. Expand to international markets (North America, Europe). Raise $5M Series A funding.
CTMLAB
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