Compute over sensitive data without exposing anything

Wodan AI enables secure, privacy-preserving AI by converting standard models into encrypted runtimes using homomorphic encryption (HE). Our platform combines advanced cryptography with containerized orchestration to keep data private—even during computation. We support the entire lifecycle: from encryption and key management on the client side, to secure, scalable inference in the cloud or on-prem.

Requester (application) sends a clear text request to Wodan’s client. Client runs in the data owner’s infrastructure (on-prem or cloud).

Client encrypts the data before sending it to the server.

Private keys are stored in the client.

Send encrypted data to the server along with “evaluation keys” to allow encrypted computation.

Server returns encrypted answers to the client.

Client decrypts the encrypted answers and provides it back to the requester in clear text.

Isolate workloads with post-quantum security

Keep models and data protected during computation

Supporting rule engines, Machine Learning, Computer Vision and soon NLP/LLM

Deploy our solution in any cloud environment, edge or on-prem infrastructure easily as Docker containers

Deploy without changing your existing stack

Making Homomorphic Encryption production-ready for enterprise use-cases

 









Wodan AI delivers privacy-preserving computation with enterprise-grade performance thanks to algorithmic optimizations

No re-engineering of your AI pipelines and applications required. Just point your application to Wodan AI’s client API and that’s it! Available on all major cloud platforms, hybrid, and on-prem

Dive deeper into our technology