Zero-Trust Mathematics

Privacy Engineering
& FHE

The Holy Grail of Cryptography: Compute on Encrypted Data.

Data in Use Protection

Traditional security only protects data at rest or in transit. We solve the final vulnerability: processing data while it remains encrypted.

STATE 01

Data at Rest

Encrypted on Disk

STATE 02

Data in Transit

Encrypted (TLS)

STATE 03 (STARKHASH)

Data in Use

Processing Ciphertext

Privacy Enhancing Technologies (PETs)

Fully Homomorphic Encryption (FHE)

Perform math on ciphertexts. The result decrypts to the correct plain-text answer without ever exposing the input values.

Zero-Knowledge Proofs (ZKP)

Prove you know a secret without revealing the secret itself. Ideal for age verification, solventy proofs, and identity assertion.

Secure Multi-Party Compute

Jointly compute a function over inputs while keeping those inputs private from other participants in the computation.

Academic Validation

Deep Research

We don't just implement; we innovate. Our deep-dive research, white papers, and academic findings on Lattice Cryptography are published at our dedicated portal.

Visit Knowledge Hub

Latest Publications

  • > Optimizing BFV parameters for 128-bit security
  • > Hardware acceleration of NTT operations
  • > ZK-Rollups for Enterprise Settlements

The Banker's Paradox

Banks need to check transactions against AML lists without revealing their client's PII to the list provider, and the provider doesn't want to leak the entire list.

SOLVED BY: Private Set Intersection (PSI)

Genomic Privacy

Medical institutions co-analyzing DNA sequences to find disease markers without ever exposing the individual patient's genetic code to other hospitals.

SOLVED BY: SMPC & FHE