Encryption deep dive
Fully homomorphic encryption
Process sensitive data while it stays encrypted, so the system doing the work never sees the data itself.
Compute without seeing the data
Fully homomorphic encryption (FHE) is a family of cryptographic schemes that allow computation directly on encrypted data. The result stays encrypted, and only the key holder can decrypt it. Once decrypted, it matches what the same computation would have produced on the original data.
This lets you use cloud services, partners or shared infrastructure for sensitive workloads without handing over the data. FHE still carries a real performance cost, so we use it where it pays off and combine it with other techniques, such as zero-knowledge proofs or trusted execution environments, where they fit better.
What we build with FHE
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Encrypted data processing
Statistics, aggregation and search that run directly on encrypted datasets.
- Private data aggregation
- Encrypted search and queries
- Joint computation across organizations (threshold FHE)
- Integration with existing data pipelines
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Private AI and machine learning
Run models on encrypted inputs, so sensitive information is never exposed to the service doing the inference.
- Private inference as a service
- Encrypted scoring and classification
- Privacy-preserving AI for healthcare and finance
- Designed to support GDPR and HIPAA obligations
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Secure cloud and outsourced computation
Move sensitive workloads to infrastructure you do not fully control, without exposing the data to the provider.
- End-to-end encrypted data workflows
- Less exposure when infrastructure is breached
- Secure data collaboration
- Verifiable results when combined with zero-knowledge proofs
Where it helps
Financial services
Fraud detection, credit scoring and risk analysis on encrypted data, without exposing customer information.
Healthcare
Research and predictive models on encrypted patient records, keeping them confidential.
Supply chain and manufacturing
Shared analytics across partners without revealing sensitive operational data.
Public sector
Analysis of sensitive records across departments while the data stays encrypted.