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Stained Glass Engine™

Protopia AI’s Stained Glass Engine™ (SGE) helps AI/ML Engineers protect their sensitive data for AI workloads by creating Stained Glass Transforms (SGTs).

With Stained Glass Engine (SGE) , machine learning engineers can extend their existing training loops to create an SGT. Without modifying the base model code, users can wrap their existing loss functions, optimizers, and models with API calls into SGE. Dive deeper in the SGE documentation.

Optimized Training Process: SGE utilizes PyTorch hooks to manipulate the loss function, manage data flows, and implement memory optimizations during the creation and training of SGTs, ensuring efficient performance without compromising utility

Broad Compatibility: SGE supports any PyTorch module, including Hugging Face Transformers, enabling smooth integration into virtually any training loop, allowing users to extend their AI models with SGTs effortlessly

Hyperparameter Customization: SGE offers hyperparameters that balance the strength of SGTs and the utility of the original model, providing flexible control over the stochastic transformations during the SGT creation process

Latest News & Articles

Protopia AI and Lambda Partner to Provide Roundtrip Inference Data Protection to Secure LLM Endpoints

Protopia AI and Lambda Partner to Provide Roundtrip Inference Data Protection to Secure LLM Endpoints

Protopia AI announces partnership with Lambda to bring Roundtrip Protection for Secure LLM Inference Endpoints. This the only solution that eliminates plaintext exposure throughout the entire AI inference lifecycle, ensuring clients retain full ownership of their prompts and responses—even in multi-tenant environments. In partnership with Lambda, we empower enterprises to use sensitive data with AI securely while benefiting from Lambda’s high-performance, cost-optimized inference solutions. Ideal for regulated industries or organizations scaling infrastructure, this combined offering closes the final data privacy gap without compromising ROI, performance, or latency.

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