Last updated
Last updated
NRN Agents is an AI gaming SDK that enables effortless creation, training, and deployment of intelligent agents for games. The SDK integrates seamlessly with various game genres, empowering studios to craft immersive, intelligent gameplay experiences for players worldwide.
Our technology specializes in modelling human player behavior through a process called imitation learning, which sets it apart from generative AI solutions like LLMs or image generation engines. We achieve this by collecting data on player actions in various in-game situations. We have two areas of specialization:
Imitation Learning: Agents that play games as humans do—solving tasks and subtasks in a natural, player-like manner.
Reinforcement Learning: Agents that are free from the limitations of human capabilities—they learn through a reward mechanism instead of strictly trying to copy humans.
NRN Agents currently offers two integration packages:
Full in-game integration ▸ We help studios create innovative and exciting AI-integrated experiences. NRN Agents' proprietary machine learning infrastructure reduces AI integration costs, making it scalable and profitable for studios to explore AI-enhanced gameplay.
In-game inference and access to NRN’s Trainer Platform ▸ We provide studios with a variety of tools that help solve common challenges, starting with improving player liquidity, enhancing user experience, and boosting player retention.
Below is a non-exhaustive list of game genres we operate in:
Shooter games (top-down, first-person, and third-person)
Fighting games (platform fighting and traditional FGC)
Social casino games
Racing games
Trading Card Games
RPG (solving sub-tasks)
MMO (solving sub-tasks)
MOBA (solving sub-tasks)
We provide SDK extensions for games developed using TS/JS, Unity, or Unreal Engine.
Unreal Engine integration has been deprioritized and will be revisiting it in H2 2025
Every game studio that we work with will have 2 API keys:
Admin API key
In-game API key
The admin API key is responsible for managing the model architectures for the game studio, which is outlined here. The in-game API key manages model creation, inference, data collection, and training.
The in-game keys are further separated into full-integration access and trainer platform access.
