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masoud-masoori/README.md
Masoud Masoori — Governance-First AI

Masoud Masoori

AI Safety & Security Researcher · Agentic AI Architect Founder & CEO — MAS-AI Technologies Inc. (incorporated Ontario, January 2026)

Building Daena — the governed AI control plane for autonomous agents.

📍 Richmond Hill, Ontario, Canada

Website Daena LinkedIn X Email GitHub Org

📜 2 USPTO provisional patents · 🚀 Google for Startups '26 · 🎓 Anthropic Academy · 🧪 3,086 backend tests passing


🛡️ What I'm building

Daena is a governed AI control plane: every agent action passes through a 10-stage deterministic pipeline — SecurityGate → GovernanceCheck → ModelRouter → MemoryRecall → LLMStream → Merkle-notarized AuditLog — before it executes.

Most agent platforms ship hot-path LLM calls with no immutable guardrails; Daena inverts that. It runs 10 departments × 6 capabilities = 60 governed agent slots over 9 hot-swappable LLM runtimes, with three always-on governance layers (Shield · Security · Asset Shield) and user-controlled modes from UNLEASHED to fully GOVERNED. Research focus: adversarial robustness, prompt-injection defense, hallucination containment with auto-expiry, and tamper-evident decision lineage in open-source agent ecosystems.

flowchart LR
    U([User / Agent]) --> SG[🛡️ SecurityGate]
    SG --> GC[GovernanceCheck<br/>9 immutable laws]
    GC --> MR[ModelRouter<br/>9 LLM runtimes]
    MR --> MC[MemoryRecall<br/>NBMF T0–T4]
    MC --> RC[Reasoning<br/>Standard / Council / Quintessence]
    RC --> PA[(Persist + AuditLog<br/>Merkle-notarized)]
    PA --> R([Response])

    style SG fill:#D4A843,stroke:#0F1419,color:#0F1419
    style GC fill:#2DD4BF,stroke:#0F1419,color:#0F1419
    style RC fill:#6C3AFF,stroke:#0F1419,color:#FFFFFF
    style PA fill:#0F1419,stroke:#D4A843,color:#D4A843
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📜 Intellectual Property — USPTO Provisionals Filed

🌻 PhiLattice Architecture

USPTO Provisional #63/877,082 Confirmation #1142 · Filed Sept 2025

Fibonacci-derived hexagonal topology for scalable agent placement. Golden-angle spacing produces optimal information flow + ABAC governance tiers + consensus learning + Merkle-notarized audit lineage.

25 claims · 11 figures

🧬 NBMF + TLM + eDNA + Dream Engine

USPTO Provisional #64/020,421 Confirmation #7683 · Filed March 2026

5-tier Neural-Backed Memory Fabric · token-reduction Tool Lifecycle Manager (up to 87.5% measured) · Experience DNA with tamper-evident Merkle lineage · autonomous 6-phase Dream Engine consolidation.

14 claims · 20 figures


🚀 Projects

🏢 Most of MAS-AI's work lives in the MAS-AI organization — including the patent-pending Daena core (private). What's here is a curated slice.

Project What it does
🛡️ Daena Governed AI orchestration platform — multi-runtime, multi-agent, governance-first
🔌 Switchboard Local-first governed MCP aggregator — one endpoint for Claude, ChatGPT, Cursor & your agents. Apache-2.0
🎬 ContentOps Autonomous multi-platform content engine — scrape → generate → schedule → publish. Apache-2.0
🔀 MergeLoop Host-agnostic model council for MCP, CLI, and API workers
💻 Daena Coder Free multi-LLM local swarm — governed code assistance with security-aware validation
🌐 ContentOps Web Approval-queue dashboard for ContentOps drafts and rejections
🌿 NatureNLP Nature-inspired NLP — ~2.4× token throughput, 35% lower perplexity vs GPT-2 baseline
🩺 MedScan Medical scanner & prescription-reminder system
🎥 LingoVids AI video translator
🪙 Daena DeFi Demo Daena governance applied to DeFi (hackathon showcase)
🎤 Daena Live Demo Interactive Daena walkthrough for investors and partners

Hackathons & independent builds: 🏥 Transition Pilot (FHIR-native discharge auditor, Devpost Agents Assemble 2026) · 🏠 CompMemo (real-estate comp ranking with citations, KV Capital Hackathon) · 🛡️ ModNote (Reddit Devvit removal-explanation composer) · 🌅 MorningMythos (family routine optimizer, EN/中文/ES)


💼 Three Ways to Engage

🛠️ Product

Self-Serve SaaS daena.mas-ai.co

Governed multi-agent orchestration with FREE / PRO / ENTERPRISE tiers. Hosted, tenant-isolated, audit-logged.

⚙️ Automation

Done-With-You mas-ai.co

Integrate your existing job, workflow, or department with Daena agents and external LLMs. Ships running, with playbook + SOP.

🧭 Consulting

Done-For-You Strategic mas-ai.co/book

AI-readiness audits, governance design, agent architecture for regulated industries. Built on the patent stack (PhiLattice + NBMF).


🎓 Background

🎓 Graduate Certificate · Artificial Intelligence (AIG) Seneca College, Toronto, ON · 2025
🎓 M.Sc. Civil Engineering — Transportation Tehran, Iran · 2020
🏅 Anthropic Academy Claude API Fundamentals · MCP · Claude Code · AI Fluency (2025–26)
☁️ AWS Cloud Practitioner Cloud + Security · 2025
🛡️ Cisco Introduction to Cybersecurity · 2024

Civil-engineering origin → robotics (ROS1/ROS2, Gazebo) → deep learning → full-stack → governed agentic systems. Built Daena solo from architecture through 3,086 passing backend tests and 2 USPTO patent filings, with most active development in the MAS-AI org.


📈 GitHub Activity

GitHub Stats Top Languages Activity Graph

Contact: masoud.masoori@mas-ai.co · LinkedIn · MAS-AI org

"Make AI systems safe, interpretable, and steerable — at the speed of execution, not at the speed of approval queues."

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