Agentic
Revolutionize game development with scalable, intuitive AI integration and insights.
About
Agentic empowers those creating digital games by providing a platform to seamlessly add AI agents and extract real-time behavioral insights from player interactions. It allows teams to scale up testing and live player support by plugging AI entities into their games, either to challenge real users, augment quality assurance, or automate scenario simulations. Its strengths include an accessible online dashboard, cloud-based training, and integration options targeting popular game engines, lowering the barrier for integrating advanced artificial intelligence into development pipelines.
Rather than requiring in-depth expertise in machine learning, Agentic gives teams intuitive tools and APIs, making it suitable for both technical and non-technical members involved in game production. The availability of open source SDKs underlines its transparency and ability to fit a range of workflows, from solo creators to larger development houses.
Overall, Agentic is purpose-built for game development, focusing on flexibility, actionable data, and ease of use, streamlining processes—like automated testing and live player engagement—for teams of various sizes.
Who is Agentic made for?
Agentic is tailored for professionals in the video game industry who are directly responsible for building, testing, or supporting multiplayer and single-player game experiences. This includes software developers looking to add or scale AI agents within their titles, quality assurance engineers seeking to automate bug discovery and streamline game testing, and product or technical leads overseeing iterative game improvements.
Small to mid-sized studios, independent game creators, and startup teams can use Agentic to simulate player behavior, test game balance, and provide round-the-clock engagement or support features without having a large user base.
Educational departments teaching game design, as well as content creators aiming to generate engaging AI-driven streams or interactive events, may also find the platform valuable for prototyping and demonstration purposes, thanks to its ease of integration and flexible deployment.