Projects in cryptography, AI and data infrastructure show the challenges we work on.
A PGP extension combines post-quantum schemes with classical cryptography. Automated key management and key rotation support the solution, developed in Go.
A layered architecture combines secure elements, hardware security modules and threshold signatures. Remote attestation supports verification of the participating components.
The toolkit identifies existing cryptographic schemes and supports migration to hybrid approaches. It includes tools for key and hardware integration, alongside staged releases.
Time-series models and graph networks analyse market data and relationships across sectors. A feature store, ongoing learning and Rust-based inference connect the data foundation to the application.
The solution combines image enhancement with models for classification and segmentation. Pseudonymised training data and technical integration with medical imaging systems form part of the described project scope.
A Kubernetes-based platform brings together model training, deployment and monitoring. A feature store, drift monitoring and canary deployments support structured operations.
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