VeriGate sits between your AI applications and LLM providers, encrypting data in hardware enclaves and generating cryptographic proof of compliance — automatically.
// Just change the base_url
client = OpenAI(
base_url="https://gateway.verigate.ai/v1",
api_key="vg-..."
)
Building toward industry-leading certifications
Enterprises must embrace AI to stay competitive, yet face existential risks from data exposure and regulatory non-compliance.
When you send sensitive data to third-party AI APIs, you surrender control. Insider threats, cloud breaches, and unauthorized training on your data are real risks.
You cannot verify if the API response truly came from the claimed model version, or if inference was tampered with. Unacceptable for financial, medical, and legal use cases.
EU AI Act enforcement begins August 2, 2026. Non-compliance penalties reach up to 7% of global annual revenue or €35 million — whichever is higher.
Large enterprises face $8M-$15M in initial compliance investment for high-risk AI systems. Most lack the internal tooling to generate required audit evidence.
A unified backend engine with differentiated frontends — covering every AI usage scenario from browser to backend.
All five product forms share the same core: TEE hardware isolation + zkML cryptographic verification + blockchain audit trail.

Protect ChatGPT, Claude & web AI. Same extension for personal and enterprise accounts.
Secure Cursor, Copilot & local AI tools. Works like Cloudflare WARP for AI traffic.
One-line integration for enterprise AI apps. Route all LLM calls through VeriGate.
Deep integration for custom backends. Python, Node.js, Go & Rust libraries.
Policy management, audit logs & compliance reports. Full visibility for CISO teams.
Not every request needs maximum protection. Configure the right balance of security and cost.
Hardware isolation meets mathematical proof. Two independent layers of verification that no single point of failure can compromise.
NVIDIA H100 Trusted Execution Environments create hardware-enforced enclaves where your data is processed. Not even cloud administrators or VeriGate operators can access your data during inference.
Zero-Knowledge Machine Learning proofs verify that the model is exactly the version claimed and that inference was not tampered with. Powered by Jolt Atlas framework.
Cryptographic proofs are batch-submitted to L2 chains (Base / BNB Chain), creating tamper-proof audit logs that directly satisfy EU AI Act requirements for at least 6 months of record retention.
Automatically generates compliance reports including user identity, policy decisions, data asset hashes, and model version fingerprints — the exact documentation regulators demand.
Data flows through VeriGate's secure gateway — encrypted, processed in TEE, verified, and delivered.

Every inference generates an immutable, cryptographic proof on-chain — your compliance evidence that can never be altered.

The only solution combining hardware isolation, mathematical proof, and immutable audit — in one unified platform.
| Capability | VeriGate | Opaque | Protect AI | Portkey |
|---|---|---|---|---|
| TEE Hardware Isolation | ||||
| zkML Cryptographic Proof | ||||
| Blockchain Audit Trail | ||||
| API Gateway Mode | ||||
| Browser Extension (B2C) | ||||
| EU AI Act Compliance Reports | ||||
| Multi-model Support | ||||
| On-premise Deployment |
Product-Led Growth: individuals adopt for free, teams spread virally, enterprises convert at high ACV. The same playbook that built 1Password ($6.8B) and Cloudflare ($35B).
Developers and knowledge workers install the free browser extension or desktop agent to protect their personal AI usage.
Users share VeriGate within their teams. Word-of-mouth drives organic growth as colleagues see the privacy verification badge.
IT/CISO teams discover widespread VeriGate usage. They upgrade to Enterprise for centralized policy control, SSO, and compliance reporting.
Your cost scales with AI usage, not headcount. Less than $0.01 per secured inference — the cheapest insurance for your data.
For individual developers and POC testing
For growing teams and single business lines
For large organizations with compliance needs
Built-in cost governance: hard budget caps, anomaly alerts, and prepaid discounts. No bill shock.
A clear path from first enterprise POC to ecosystem dominance, aligned with the EU AI Act compliance wave.
A perfect storm of regulatory pressure, market demand, and technology readiness creates a rare time-bound investment window.
EU AI Act enforcement in Aug 2026 creates urgent, non-discretionary demand. Enterprises are allocating $8M-$15M for high-risk AI compliance.
Once integrated into core AI workflows, switching costs are enormous. Predicted annual churn rate <5%, meaning very high customer lifetime value.
AI security middleware is the hottest M&A category for cybersecurity giants. VeriGate targets $100M-$200M strategic exit at $5-8M ARR.
Recent AI security acquisitions by cybersecurity giants
| Company | Acquirer | Amount | Year |
|---|---|---|---|
| Protect AI | Palo Alto Networks | $500M+ | 2025 |
| CalypsoAI | F5 | $180M | 2025 |
| Seraphic | CrowdStrike | ~$60M | 2026 |
| SquareX | Zscaler | ~$50M | 2026 |
| VeriGate (Target) | Strategic buyer | $100M-$200M | 2028-2029 |
At Seed valuation of $10-15M, this represents a potential 7x-20x return for early investors.
Whether you're a CISO evaluating compliance solutions, an investor exploring the AI security space, or a developer building the next AI application — we'd love to talk.