Protopia AI enables you to extract Machine Learning insights from your actual data without exposing sensitive information in identifiable form.
Protopia AI Stained Glass Transform™ Explained
Unlock and Access More Data Across Your ML Lifecycle
Unlock
Unlock access to real datasets to train performant ML models without exposing or transferring sensitive information.
Deploy
Enable deployment without relinquishing ownership of sensitive information whether at edge, private cloud, or public cloud.
Minimize Barriers
Share real data and minimize data sensitivity barriers
to access ML services.
Equip
Responsible AI
A big concern has emerged in AI: data privacy. Protopia uniquely addresses those concerns and accelerates time to AI deployments and value. NetApp is thrilled to have Protopia in our NetApp AI solutions as a technology partner.
Keith Norbie, NetApp
At Q2, we offer a variety of fraud detection solutions using AI; for example, we use computer vision to detect various forms of check fraud. The prospect of feature-level obfuscation of inbound data for maximizing data protection and privacy in our AI solutions is very compelling to us and to our customers.
Jesse Barbour, Chief Data Scientist at Q2ebanking
Adding Protopia AI is Simple.
1
Proof of Concept
With direct interaction with our team of experts, we will create a proof of concept that shows how Protopia AI’s Stained Glass Transforms™ apply to your data types and ML tasks.
2
Create Data Transformations for your ML Tasks
For inferencing, Protopia AI’s Stained Glass Transforms™ are generated as an optimization step at the end of your existing ML model training. You can easily integrate the optimization step using our extensions to common frameworks such as PyTorch made accessible through containers or Jupyter Notebooks.
3
Launch Seamlessly
Use our versatile containers or technology partners to deploy the data transformations at your data warehouse/data center, near-edge networks, or edge devices seamlessly.