Meet DeBrah, the AI companion who remembers your story and reaches out first. Built on MiAngel Middleware AI — patent-pending trust layer.
The Trustworthy AI Companion
An AI companion built on trust you can verify
DeBrah remembers what matters. She notices when things shift. Every interaction is sealed by MiAngel Middleware AI — patent-pending cryptographic trust that proves your privacy in real time.
✓ BETA launching May 1, 2026✓ HIPAA-aligned architecture✓ Two-founder team · Rafael Mas + Nikhil Misra✓ Patent-pending · App #19/385,439
DeBrah understands your emotional patterns, remembers your journey, and provides support whenever you need it — day or night.
Intelligent mood tracking
Emotional intelligence that tracks patterns, predicts mood shifts, and provides personalized insights to help you understand your mental wellness.
Encrypted private journaling
Express your thoughts in a secure, encrypted journal. AI-powered prompts help you process emotions while your entries stay cryptographically protected.
MiAngel Middleware AI™ — The Trust Layer Powering DeBrah
Every DeBrah interaction runs on MiAngel Middleware AI™ (GMAI). This patent-protected control plane handles biometric attestation, salience-weighted memory, crisis escalation, and tamper-evident audits — so the app feels effortless while the infrastructure proves every promise in real time.
Patent-Protected Architecture
U.S. Patent Application #19/385,439
HIPAA-aligned architecture
Built on HIPAA BAAs with OpenAI, Google Cloud, Anthropic
The Trust Layer for AI
Cryptographic middleware, not a model
This is more than technology
MiAngel builds the Trust Layer for AI. DeBrah is our consumer proof that trust can be cryptographic — not a claim, not a policy, but infrastructure that verifies your privacy every time you speak.
Millions of people now turn to AI for emotional support. They share fears, traumas, and vulnerabilities with chatbots that promise confidentiality. But promises are not proof. What happens when the AI has no memory of who you are? What happens when your private conversation is stored without your knowledge, or accessed without your consent? These are not hypothetical questions. They are the reality of AI therapy today.
Key Takeaways
Current AI therapy tools cannot prove they protect your data.
MiAngel Middleware AI (GMAI) sits between you and the AI model, enforcing trust cryptographically.
Every interaction is identity-bound, consent-verified, and tamper-evident.
GMAI is model-agnostic: it works with any AI provider.
DeBrah, powered by GMAI, is the first AI companion with cryptographic trust built in.
The Problem: AI That Promises but Cannot Prove
Today's AI therapy apps operate on a simple model: you type, the AI responds. There is no identity verification. There is no consent enforcement. There is no audit trail that proves the AI followed its own rules. If the AI says "your data is private," you have no way to verify that claim. The trust is assumed, not proven.
This matters because mental health data is the most sensitive data a person can share. A panic attack at 3 AM. A fear you have never told anyone. A pattern of behavior you are trying to change. If this data leaks, is misused, or is accessed without consent, the harm is not theoretical. It is personal.
The Solution: MiAngel Middleware AI (GMAI)
GMAI is a cryptographic control plane that sits between the user and the AI model. Before any request reaches the language model, GMAI enforces identity, consent, policy, and auditability. Think of it as TLS/SSL for AI conversations. Just as HTTPS encrypts web traffic, GMAI cryptographically governs AI interactions.
How GMAI Works
1
Authenticate
Every request is identity-bound. GMAI verifies who is making the request using biometric and device attestation.
2
Check Consent
GMAI validates what data the AI is allowed to access based on the user's explicit consent scope.
3
Select Context
A salience scoring algorithm selects only the most relevant memories, not everything. This is auditable, not a black box.
4
Apply Policies
Behavioral rules constrain what the AI can say and do. Policy-as-code, enforced before the model sees the prompt.
5
Log Everything
Every interaction generates a tamper-evident, hash-linked log. Designed for HIPAA, GDPR, and SOC-2 alignment.
Why This Matters for You
If you use an AI for emotional support, you deserve to know that your conversations are protected by more than a privacy policy. GMAI provides cryptographic proof. Your identity is verified. Your consent is enforced. Your memories are gated. Every interaction is logged in a way that cannot be tampered with.
DeBrah, the AI companion built on GMAI, is the first implementation of this architecture. She remembers your journey, but only when you authenticate. She follows therapeutic guardrails, enforced by code, not promises. She generates an audit trail that proves she did what she said she would do.
The GMAI Difference
Other AI tools promise privacy. GMAI proves it. Every conversation is identity-bound, consent-verified, policy-enforced, and tamper-evident. This is not a feature. It is the architecture.
The Bigger Picture
GMAI is not just for DeBrah. It is designed to be the trust layer for any AI operating in regulated industries: healthcare, finance, education. Any organization deploying AI in sensitive contexts needs identity binding, consent enforcement, and cryptographic auditability. The EU AI Act, which begins enforcement in August 2026, will make this mandatory for high-risk AI systems.
MiAngel is building the infrastructure that makes safe AI possible. DeBrah proves it works. GMAI scales it to every industry that needs it.
