AI Agents You Can Actually Trust
Standard AI infrastructure treats agents like code: mutable, editable, unverifiable. But regulated sectors treat AI like humans: accountable, auditable, legally liable. That is the fundamental mismatch. mintBlue is designing provable memory, cryptographic decision trails, and guardrails that execute before your agent acts. Not in your application code. In the infrastructure itself.
Built on infrastructure trusted by government and enterprise
mintBlue turned our nightmare of invoice exchanges into a dream of automation. Now we strive to make taxation less of a headache for everyone involved.
Claire Arens
Innovation & Strategy, Netherlands Tax Administration
6 million invoices annually validated and processed automatically. No manual reconciliation. No disputes over what was agreed.
Sebastian Toet
Solutions Architect, VISMA | Yuki
Real-time, verifiable carbon tracking across our entire supply chain without exposing sensitive supplier data.
Pauline Van Ostaeyen
Cofounder, Dockflow
Where guardrails unlock AI deployment
Regulated sectors want AI but can't deploy it. Compliance blocks it because there's no proof the agent won't hallucinate, use biased data, or violate regulations. Infrastructure-level guardrails change that equation.
HOW IT WORKS
From raw AI output to auditable, legally defensible decisions
Guardrails designed to wrap your AI agents regardless of provider. Compatible with OpenAI, Anthropic, open-source models, or custom-trained agents.
- 01
Provable Agent Memory
Every piece of data the agent accesses is cryptographically logged. Change the memory later and the math breaks. You can prove the agent used data X at time Y. Like a bank statement: you can't go back and change what happened.
- 02
Cryptographic Decision Trails
Agent makes a decision. We record what data it used, what reasoning it applied, and what guardrails it passed. All cryptographically sealed. Provable in court. Like a notarised contract: the signature proves who signed, when, and that nothing was altered.
- 03
Self-Executing Guardrails
Guardrails run before the agent acts. Not in your application code. In the infrastructure itself. The guardrail execution is cryptographically logged. You can prove this guardrail ran and the agent passed. Like airport security: everyone goes through the scanner, no exceptions.
- 04
Zero-Knowledge Verification
Prove your AI is compliant without revealing proprietary prompts or training data. Auditors can verify guardrails ran without seeing your AI's internal workings. Like proving you're over 18 without showing your birthdate.
Built on government-grade infrastructure
50M+
transactions in a single day (world record)
<100ms
platform event processing latency
0
data integrity failures across all deployments
Application-level guardrails are a good start. But who guards the guardrails?
Running checks in your application code is necessary but insufficient. Logs stored in editable databases are useful but not evidence. Neither holds up when regulators, auditors, or lawyers come asking questions.
Infrastructure-level enforcement changes the equation.
Application-Level Checks & AI Logging
- Guardrails run in mutable code. Engineers can bypass them, even accidentally.
- No cryptographic proof that guardrails actually executed.
- AI Act Article 13 compliance unclear. No tamper-proof event recording.
mintBlue
- Guardrails enforced by infrastructure, not code. Designed to be unbypassable.
- Cryptographic proof of execution. Every guardrail run is provable.
- Designed for AI Act Article 13 compliance. Automatic, tamper-proof event recording by design.
EARLY ACCESS
The Same Infrastructure That Protects Government Data Can Protect Your AI Agents
We are building AI guardrails on the same cryptographic infrastructure that set a world record of 50M+ transactions in a single day. A 30-minute technical briefing will show you how provable memory, decision trails, and self-executing guardrails are designed to work with your AI use case. No sales pitch. Bring your architects.
EARLY ACCESS
The Same Infrastructure That Protects Government Data Can Protect Your AI Agents
We are building AI guardrails on the same cryptographic infrastructure that set a world record of 50M+ transactions in a single day. A 30-minute technical briefing will show you how provable memory, decision trails, and self-executing guardrails are designed to work with your AI use case. No sales pitch. Bring your architects.