The Infrastructure That Makes AI Legally Usable
| Problem | Cause | Consequence |
|---|---|---|
| AI banned in healthcare | Patient data persists in cloud | HIPAA violation, $1.5M+ per incident |
| AI banned in defense | CUI uploaded to US cloud | ITAR violation, criminal liability |
| AI banned in legal | Prompts discoverable in litigation | Privilege waiver, malpractice exposure |
Every prompt. Every response. Every session. Logged, stored, discoverable.
Not an AI model. Not a cloud provider. Not a security tool. A new category.
| Layer | Status |
|---|---|
| AI models | ✓ Exists (OpenAI, Anthropic, Meta) |
| Cloud compute | ✓ Exists (AWS, Azure, GCP) |
| Security tools | ✓ Exists (CrowdStrike, Palo Alto) |
| Compliance enforcement for AI | ✗ Does not exist |
Kwyre fills the gap.
Between AI capability and legal usability.
Client → NGINX → Sentinel → 10-Stage Pipeline → Enclave → AI → Signed Output
HSM → Enclave → PQ Signer → Response Signature → Client Verify
Every response is cryptographically signed. Every signature is independently verifiable.
AWS, Azure, Google — all US companies. All subject to government data requests regardless of server location.
Dedicated Hetzner hardware. Falkenstein, Germany. German law. Not subject to US CLOUD Act.
| Mode | Description | Latency |
|---|---|---|
| Standard | Baseline execution | ~200ms |
| Secure | Post-quantum cryptography (ML-KEM + ML-DSA) | ~210ms |
| Sovereign | Full defense: circuit routing, onion, mixnet | 1–5s |
Total addressable market for regulated AI infrastructure
professionals who cannot use cloud AI due to HIPAA, FINRA, ITAR, CMMC, and attorney-client privilege
Average breach: $4.8M. Average fine: $15M+. Kwyre: from $999/month.
Enterprise deals fail on risk, not features.
“That makes sense — most of our customers start there. The difference is AWS assumes data can exist. We’re built for environments where it cannot.”
This isn’t a replacement decision. It’s a compliance boundary.
“Agreed — but logs create exposure. So the question is: do you need logs, or proof?”
We replace logs with cryptographic verification.
“That’s exactly the problem with current systems. If something goes wrong, data exists.”
In our system, nothing exists to be exposed.
“Because their business model depends on storing data.”
Ours depends on eliminating it.
Enterprise AI is not limited by capability. It’s limited by compliance. We remove that limitation.