Agentic is a dynamic AI-powered platform that helps game developers create and deploy AI agents within their games. It streamlines the process of building and integrating AI, making it accessible to developers at all levels.
Agentic creates AI agents that interact with players naturally and believably. These agents can perform several tasks, such as providing guidance, answering questions, and even competing with other players. It uses advanced AI techniques to create engaging and challenging agents.
Agentic can quickly deploy AI agents to a large number of players without compromising on performance, enabling more immersive and dynamic gaming experiences.
Performance Score
A
Interface
Good
AI Technology
Natural Language Processing, Machine Learning
Purpose of Tool
Allow game developers to effortlessly create, deploy, and manage scalable AI agents
Compatibility
Desktop Computer, Laptop
Pricing
Paid
Who is best for using Agentic?
- Independent Game Developers: Simplifies the creation and integration of AI agents without requiring advanced AI knowledge.
- Mid-Sized Game Studios: Streamlines game testing with automated features like bug detection and performance reporting.
- AAA Game Studios: It enables large-scale deployment of AI agents to handle several players simultaneously.
- Game Designers: Agentic allows developers to analyze agent behaviors visually, reducing dependency on developers.
AI Players As a Service
Data-Driven Insights
Ease of Integration
Cloud-Based Training
Scalable Deployment
Pre-Trained AI Models
Open-Source SDKs
Automated Game Testing
Is Agentic Free?
The platform does not offer a free trial to its users. If you want to engage with this platform, you can contact them for paid pricing.
Agentic Pros and Cons
The interface of this tool helps users of all levels to create AI agents.
The platform supports large-scale deployment.
It allows developers to customize and optimize the tool to suit specific needs.
Agentic provides pre-trained models that save the developer time and effort.
The large-scale deployments could become expensive.
The performance depends on supported engines.
Developers must use updated and supported engines to avoid integration issues.
