24/7 companion support
DeBrah understands your emotional patterns, remembers your journey, and provides support whenever you need it — day or night.
Meet DeBrah, the AI companion who remembers your story and reaches out first. Built on MiAngel Middleware AI — patent-pending trust layer.
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.
DeBrah understands your emotional patterns, remembers your journey, and provides support whenever you need it — day or night.
Emotional intelligence that tracks patterns, predicts mood shifts, and provides personalized insights to help you understand your mental wellness.
Express your thoughts in a secure, encrypted journal. AI-powered prompts help you process emotions while your entries stay cryptographically protected.
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.
U.S. Patent Application #19/385,439
Built on HIPAA BAAs with OpenAI, Google Cloud, Anthropic
Cryptographic middleware, not a model
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.
Meet DeBrah →With paid Premium pilot signed: $8M at $45M post-money
Pre-action enforcement. Post-inference verification. Cryptographic audit. Controlled production live. GMAI is the middleware that governs patient-facing AI before and after the model call.
The Health Literacy gap costs the U.S. economy up to $238B annually. Only 12% of adults are proficient. Nobody owns this category.
Source: CHCS, 2024 / NAAL
Trust is promised, not proven. Privacy is a feature, not architecture. Every enterprise deploying AI in regulated industries needs a trust layer.
MiAngel Middleware AI
The patent-pending cryptographic control plane. Every inference is intercepted before it reaches the model (pre-action enforcement), every output validated against patient context and policy before delivery (post-inference verification), and every interaction written to a SHA-256 hash-linked, RSA-PSS signed audit chain.
The First Applications
DeBrah Personal is the consumer reference implementation: self-pay, controlled production, public soft launch August 2026. DeBrah Clinical brings the same governed layer to physician practices, payers, and care management. The architecture extends to every regulated AI vertical.
GMAI is the middleware platform. DeBrah Personal proves it, DeBrah Clinical scales it, and the same layer licenses to any regulated AI vendor. One middleware, multiple applications.
What HTTPS did for internet commerce, GMAI aims to do for regulated AI. Just as HTTPS encrypts web traffic, GMAI cryptographically governs AI interactions, before and after the model.
Who is making this request?
What data can the AI access?
Salience scoring from memory vault
What can the AI say and do?
Audit trail for compliance
Graded safeguards, escalation if thresholds breached
Only AFTER GMAI validates does the prompt reach the AI model. No other system provides this pre-model governance layer.

AI Companion Chat

Mood Tracking

Encrypted Journal

Wellness Dashboard
The legal moat. U.S. Patent Application #19/385,439, Track One expedited. Eight claimed mechanisms implemented in controlled production; continuation filed. Claims directed to pre-model cryptographic enforcement as a category (scope subject to examination). Every month in production strengthens the execution evidence.
The technical moat. Hexagonal microservices middleware, pre-model enforcement engine, cryptographic audit chain (SHA-256, RSA-PSS), attestation-gated memory vault. Replicating it means rebuilding the inference pipeline around pre-model enforcement, with a 24+ month head start on hexagonal extraction.
The operator moat, the one capital cannot quickly buy. A co-founder CMO with 6 medical centers, a 14-site research network, and a B2B platform reaching ~20,000 providers. Day-one deployment access through co-founder alignment (arm's-length, board recusal). Every deployment adds switching costs.
Conversation history cryptographically bound to identity. Cannot be accessed without biometric + device proof.
Canonical signed headers attached to every LLM request. Contains: auth state, consent scope, policy parameters.
Deterministic algorithm for context selection. Auditable memory recall, not a black box.
Every interaction generates a tamper-evident log. Cryptographically signed + timestamped.
Trust layer operates BEFORE the LLM receives the prompt. Model-agnostic. Works with any AI provider.

"GMAI's pre-model enforcement architecture represents the most rigorous cryptographic governance framework I have evaluated in 25 years of federal cybersecurity. This is not incremental improvement. This is an architectural shift in how we trust AI."
Dr. Luis O. Noguerol
C|CISO of the Year, EC-Council. 100+ Cybersecurity Certifications.
Hippocratic AI, Ambience, Suki, Abridge
OneTrust, Drata, Credo AI, Cloudflare AI
A new category intersection, with no defined incumbent.
Consumer Subscription
$19.99/mo Standard, $34.99/mo Premium+
Public proof point. Hispanic / Cuban-American beachhead. Modeled, subject to conversion and retention.
Reimbursement-Aligned (modeled)
$30-60 PMPM gross/patient (modeled)
Primary near-term revenue (modeled). Gross opportunity does not equal MiAngel net revenue; subject to pilot validation, payer policy, and commercial agreement.
Enterprise Licensing
$50K-$500K modeled enterprise ACV
Long-term platform revenue line. Highest LTV per customer. Category-defining moat.
Three revenue streams, one platform. CMS RPM/RTM-aligned clinical revenue is modeled and under validation; platform licensing is the long-term margin engine. Reimbursable economics apply only if validated.
Three revenue mechanisms, each already inside the deployment surface our CMO operates. Premium Healthcare, IronKloud, and BioResearch Partner are Hoover-controlled related parties; commercial deployments operate at arm's-length with board recusal.
Access is not revenue until contracts, compliance workflows, and billing mechanics are validated.
DeBrah Personal public launch, August 11, 2026
Premium MSA paid pilot signed, DeBrah Clinical at first 2 medical centers, 1,000+ active patients, SOC 2 Type II kicked off
10,000+ active clinical patients, IronKloud B2B integration LOI, first BRP research pilot, ~$3M ARR run rate
~$5-7M ARR run rate, Premium full deployment, IronKloud B2B revenue, Series A roadshow at $200M+ target
Completed items are verifiable today. In-execution and scheduled items are labeled as such and documented in the data room.

Founder & CEO

Co-Founder & CMO

Co-Founder & CTO

Security & Governance Chief Advisor
The window to own the Trust Layer for AI is open right now. In 18 months, it won't be.
The next decade of AI will be built on trust. We are building the Trust Layer.