CoSupport AI
What is Agentic.AI?
Agentic.AI delivers a comprehensive AI solution specifically designed for the gaming industry, enabling developers to create and deploy intelligent agents for various gaming applications. The platform offers cloud-based training capabilities, allowing developers to implement AI agents without requiring additional hardware infrastructure.
Through its intuitive dashboard and native SDK support for popular game engines like Unreal and Unity, the platform provides detailed insights into agent interactions and performance. The system supports both traditional coding and visual scripting approaches, making it accessible to all team members, from programmers to QA testers.
Features
- Cloud-based Training: Train AI agents without additional hardware requirements
- Scalable Deployment: Instantiate AI agents at any scale, anywhere, anytime
- Analytics Dashboard: View and analyze all AI agent interactions
- Native SDK Support: Built-in support for Unreal, Unity, and C++ engines
- Visual Scripting: Supports both traditional coding and visual scripting interfaces
- Open Source Integration: Fully transparent SDK implementation
- Rapid Results: First results available in under a minute
- Non-toxic AI Players: Balanced and directable agents for multiplayer games
Use Cases
- Automated game testing and bug detection
- Performance testing and reporting
- Multiplayer game population management
- Game level completion analysis
- Player experience testing
- Smoke testing automation
- Game balance testing
- Emergency player replacement in live games
FAQs
-
What game engines does Agentic.AI support?
Agentic.AI natively supports Unreal and Unity engines, as well as proprietary C++ engines. -
How quickly can I see results after training an AI agent?
You can see the first results in under a minute after training an agent. -
Do I need special hardware to use Agentic.AI?
No, since training happens in the cloud, you only need your regular computer, console, or phone.
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Agentic.AI Uptime Monitor
Average Uptime
99.93%
Average Response Time
152.6 ms
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