Unity Sentis
Run neural networks directly in Unity games without external servers
Unity Sentis executes ONNX models locally in game engines for real-time AI inference. Built for game developers needing on-device neural networks for NPCs, procedural generation, or player behavior analysis.
Sentis enables developers to import ONNX-format neural networks and run inference natively within Unity, supporting CPU and GPU execution across platforms. It handles common model architectures for game AI tasks—NPC decision-making, animation blending, procedural content generation—without requiring cloud APIs or external ML frameworks.
Pros
- Run models offline with zero latency or server dependency
- Support multiple platforms including mobile and console builds
- Import standard ONNX format models from TensorFlow, PyTorch, or other frameworks
- Integrate directly into existing Unity workflows without external tools
Cons
- Performance varies significantly by target platform and model complexity
- Limited built-in tooling for training; requires external ML frameworks
- Documentation focuses on inference rather than game-specific optimization patterns
Best For
Game studios embedding AI behaviors directly into games without cloud infrastructure or latency requirements.
Pricing
Free Forever
- Core features
- Email support
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