STOP MOBILE AI THEFT.
Secure your TFLite models.
Enterprise-grade encryption for Android applications.
> HOW_IT_WORKS
GENERATE_KEYS
Create a new project in the dashboard to generate your unique encryption keys.> tensorseal keygen --algo aes-128
LOCAL_ENCRYPTION
Download our CLI tool and encrypt your .tflite model locally. No model upload required.> ./ts-encrypt model.tflite --key ...
INTEGRATE_SDK
Drop the generated AAR and your encrypted model into Android Studio. Zero additional dependencies.> implementation(name: 'tensorseal', ext: 'aar')
> SYSTEM_CAPABILITIES
TensorSeal provides a military-grade shielding layer for your intellectual property. Standard obfuscation (ProGuard/R8) is not enough to stop model theft.
- ✓Multi-Layer Encryption (AES-128 + Custom XOR)
- ✓Zero-Knowledge Architecture (No Uploads)
- ✓Native C++ Runtime for minimal latency overhead
- ✓ONNX Support (Coming Soon)
// TensorSeal Security Layer
// Status: ACTIVE
public class ModelLoader {
static {
System.loadLibrary("tensorseal_jni");
}
// Decryption happens in protected memory
// No temp files written to disk
public native float[] predict(byte[] input);
}> PROTOCOL: FLUSH_MEMORY() executed.
> VERIFIED_LOGS
We lost our proprietary face detection model to a competitor within weeks of launch. Since switching to TensorSeal, zero leaks effectively.
The C++ runtime is incredibly fast. We saw less than 2ms overhead on inference time. Crucial for our real-time video processing app.
Finally a solution that actually handles TFLite custom ops correctly. Integration took literally 10 minutes.
> LICENSE_ALLOCATION
OPEN_SOURCE
- - Self-Managed Keys
- - Manual C++ Integration
- - Community Support (GitHub)
FACTORY_ACCESS
- ✓ Automated SDK Builds
- ✓ Custom Key Generation
- ✓ Tax Compliance (Invoices)
- ✓ Priority Email Support