The only FHE platform
running at internet scale.
2,172,518 auth/sec. Measured.

Five proprietary cryptographic engines. BFV exact arithmetic, CKKS approximate arithmetic, Dilithium post-quantum signatures, ZK-STARK proofs, and FHE-IQ automatic routing. All in a single REST API call. No GPU. No cryptography PhD.

Talk to Engineering Team Read the API Docs
Single REST API call No GPU required 5 cryptographic engines
H33 FHE Platform Architecture
Your app
→
H33 API
→
FHE-IQ
engine select
Encrypted compute pipeline
Encrypted
compute
→
Signed
result
→
Your app
One API call. Five engines. 38.5 microseconds.
The problem

FHE has been too slow for production. Until now.

Fully homomorphic encryption has been a theoretical breakthrough trapped in academic labs. Existing implementations are too slow, too complex, and too hardware-dependent for production workloads. That changes today.

  • Academic FHE implementations require minutes per operation — unusable at scale
  • Existing FHE libraries need GPU clusters and specialized hardware
  • No production FHE system combines encryption, signatures, and proofs in one call
  • Building FHE from scratch takes years and a team of cryptographers
FHE performance: academic vs H33
METRICACADEMICH33
Per operationMinutes38.5µs
Throughput~10 ops/sec2.17M auth/sec
HardwareGPU clustersStandard CPU
IntegrationPhD requiredOne API call
Orders of magnitude faster. No specialized hardware.
The platform

Production FHE. 38.5 microseconds. One API call.

H33 is the only FHE platform that combines five cryptographic engines into a single production-grade API. BFV for exact arithmetic, CKKS for approximate arithmetic, FHE-IQ for automatic routing, plus post-quantum signatures and zero-knowledge proofs in every operation.

  • BFV engine: exact integer arithmetic for biometrics and matching (H33-128, H33-256)
  • CKKS engine: approximate arithmetic for ML inference on encrypted data
  • FHE-IQ: automatic engine selection based on data type and security requirements
  • Montgomery NTT with Harvey lazy reduction — zero classical crypto in the hot path
  • SIMD batching: 32 users per ciphertext, sub-millisecond per batch
  • Dilithium + Kyber + ZK-STARK attestation in every operation
Building FHE yourself
2-3 years of development
Team of cryptographers required
GPU clusters for production
No signatures or proofs included
H33 FHE Platform
One REST API call to integrate
No cryptography expertise needed
Standard CPU — no GPU required
Dilithium + ZK-STARK in every call
Five engines. One call. Production-grade.
How it works

Your app to encrypted result. One API call.

STEP 01
Your app calls H33
Standard REST API. Send your data. No crypto code required.
→
STEP 02
FHE-IQ selects engine
BFV for exact math. CKKS for ML. Automatic routing based on data type.
→
STEP 03
Encrypted compute
Data processed on ciphertext. Montgomery NTT. SIMD batching. 38.5µs.
→
STEP 04
Signed result
Dilithium signature + ZK-STARK proof. Post-quantum attested.
→
STEP 05
Your app
Encrypted result returned. Only your keys decrypt. Verified.
Live performance

At this rate, H33 has authenticated this many users since you opened this page:

0
2,172,518 auth/sec · 38.5µs per auth · measured on Graviton4
Capabilities

What you can build on H33

🗄
Encrypted Database Queries
Query encrypted data without decrypting it. BFV exact arithmetic enables comparison, matching, and aggregation directly on ciphertext.
🧠
Encrypted AI Inference
Run ML models on encrypted data. CKKS approximate arithmetic supports classification, anomaly detection, and NLP — all on ciphertext.
🤝
Biometric Matching on Ciphertext
Match fingerprints, faces, and voices on encrypted templates. SIMD batching processes 32 users per ciphertext in under 1ms.
🌍
Cross-Org Encrypted Comparison
Banks, hospitals, and insurers compare encrypted records without sharing plaintext. No trusted third party. FHE guarantees privacy.
🔑
Post-Quantum Key Management
Kyber key encapsulation + Dilithium signatures. ML-KEM (FIPS 203) and ML-DSA (FIPS 204) compliant. Nested hybrid with Ed25519.
🔍
Encrypted Search
Full-text and semantic search on encrypted documents. Results ranked and returned without the search engine ever seeing plaintext content.
Benchmarks

Production numbers. Independently verifiable.

2.17M
Auth/sec sustained
38.5µs
Per authentication
5
FHE Engines
0
External dependencies
Compatibility

Works with your existing stack

No rip-and-replace. No new infrastructure. One API call wraps what you already run.

Production FHE exists. You're looking at it.

Five engines, one API call, 38.5 microseconds. No GPU. No PhD. No excuses left to delay encrypted compute.

Talk to Our Engineering Team
Request access

Built for production systems.
Not proof of concepts.

H33 is the only FHE platform running at internet scale. If you're evaluating encrypted compute for your infrastructure, we'd like to talk.

  • Dedicated engineering support
  • Custom engine configuration
  • On-premise deployment available
  • SOC 2 Type II, HIPAA, ISO 27001, GDPR
Request Access
Enterprise deployments only. For production systems.