Your data is decrypted
every time it's processed.
That's where breaches happen.

Every database query, every AI inference, every API call — your data is exposed in plaintext during processing. H33 eliminates the plaintext window. Your data stays encrypted during computation. One API call.

Talk to Security Team See How It Works
No infrastructure changes Production-ready SOC 2 + HIPAA compliant
The plaintext window
Encrypted
at rest
→
Decrypted
to process
→
Re-encrypted
at rest
Every breach in history happened in the middle step.
With H33
Encrypted
at rest
→
Encrypted
during compute
→
Encrypted
at rest
No plaintext. Ever.
The problem

Encryption protects data at rest and in transit. It fails during processing.

Every system that touches sensitive data — your database, your AI model, your analytics pipeline — decrypts it first. That decrypted window is where every breach, every insider threat, and every compliance violation occurs.

  • Database queries require plaintext — a breach exposes everything
  • AI models process data in GPU memory — unencrypted
  • API calls transmit and receive plaintext payloads
  • Compliance audits can't prove data was never exposed during processing
What your database looks like today
NAMESSNBALANCE
Sarah Chen428-91-7735$47,832
Marcus Johnson551-43-2298$12,401
Elena Rodriguez672-18-4490$156,220
David Kim339-67-1184$8,945
Every field readable by anyone with access.
The solution

Process data without decrypting it. Fully Homomorphic Encryption.

H33 wraps your existing infrastructure with post-quantum FHE. Your databases, AI models, and APIs operate on encrypted data. The results come back encrypted. The plaintext never exists on your servers.

  • Databases store and query ciphertext — a breach exposes noise
  • AI models run inference on encrypted data — zero plaintext in GPU memory
  • ZK-STARK proofs verify correctness without revealing data
  • Dilithium post-quantum signatures provide 30-year evidentiary validity
  • One REST API call — no cryptography expertise required
Before H33
Sarah Chen   428-91-7735   $47,832
Marcus Johnson   551-43-2298   $12,401
Elena Rodriguez   672-18-4490   $156,220
After H33 — same database
a7f2c9e1d3...   3b8e1c4a72...   f19d42b8c1...
d6c3e1f9a2...   7a9c3d6e18...   c3d7a2f9e1...
b1f4e8c2d9...   4f2a7e1c83...   6e9b2d4a71...
Same query. Same database. Nothing readable.
How it works

Three steps. One API call. Zero plaintext.

STEP 01
Data encrypted at source
Your application calls H33. Data is encrypted using BFV fully homomorphic encryption before leaving your environment.
→
STEP 02
Processed while encrypted
Databases query ciphertext. AI models run on ciphertext. ZK proofs verify results. No decryption at any stage.
→
STEP 03
Results returned encrypted
Only your authorized endpoints can decrypt. The infrastructure, the cloud provider, the AI model — none of them ever see plaintext.
Live demo

Watch a database get encrypted with one API call.

This is not a simulation. This is the actual transformation that happens when you call the H33 API. Every cell. Every row. One request.

YOUR DATABASE — PLAINTEXT
NAMESSNACCOUNTBALANCE
Sarah Chen428-91-77357291038456$47,832
Marcus Johnson551-43-22983847201956$12,401
Elena Rodriguez672-18-44909182736401$156,220
David Kim339-67-11845019284673$8,945
Live demo — AI compliance

The AI diagnoses the patient. It never sees the patient's data.

PATIENT RECORD
Name: Jane Doe
DOB: 1985-03-14
Rx: Metformin 500mg
Dx: Type 2 Diabetes
→
AI MODEL
Name: a7f2c9...
DOB: 3b8e1c...
Rx: f19d42...
Dx: 8c2a7d...
Processing on ciphertext...
→
RESULT
 
 
 
 
Live demo — encrypted data sharing

Two banks detect fraud together. Neither sees the other's data.

BANK A — ENCRYPTED SIGNAL
Card: e4b917a2f3...
Velocity: 9b1e4c8d32...
Location: 3c7a8f2e14...
BANK B — ENCRYPTED SIGNAL
Card: f8c3a7d1e9...
Velocity: 2e8f1b4a73...
Location: b4e1d9a3c7...
Use cases

Built for regulated industries

🏥
Healthcare Analytics
Process PHI without violating HIPAA. Run diagnostics, drug interaction checks, and population health analytics on encrypted patient data.
🏦
Financial Modeling
Fraud detection, credit scoring, and transaction analysis on encrypted data. Share fraud signals across institutions without exposing customer records.
🧠
Secure AI Processing
Run AI inference on sensitive data without the model ever seeing plaintext. Classification, anomaly detection, NLP — all on ciphertext.
🔒
Biometric Authentication
Match fingerprints, faces, and voices on encrypted templates. The server never sees the biometric. A breach exposes only noise.
🌍
Cross-Organization Sharing
Banks, hospitals, and insurers compare encrypted records without sharing plaintext. No trusted third party required.
⚖
Compliance Automation
GDPR, HIPAA, PCI DSS, SOX — comply by architecture, not by policy. Audit logs prove data was never exposed.
Enterprise readiness

Production numbers. Not projections.

2.17M
Auth/sec sustained
38.5µs
Per authentication
±0.71%
Variance at scale
114
Patent claims pending
Compatibility

Works with your existing stack

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

Stop decrypting data to use it.

Your competitors are planning 15-year post-quantum migrations. You can deploy in weeks.

Talk to Our Security Team
Request access

Built for production systems.
Not proof of concepts.

H33 is deployed in regulated environments processing real data at scale. If you're evaluating encrypted compute for your infrastructure, we'd like to talk.

  • Dedicated security engineering support
  • Custom deployment architecture
  • BAA available for healthcare
  • SOC 2 Type II, HIPAA, ISO 27001, GDPR
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Enterprise deployments only. For production systems.