MAS-AI Technology Inc.

The World's First AI-Native Autonomous Company

We build Daena the world's first AI VP system powered by 48+ autonomous agents.

48
AI Agents
60%+
Cost Savings
99.4%
Accuracy
300%
ROI

About MAS-AI Technology Inc. World's First AI-Native Autonomous Company

MAS-AI Technology Inc. (also known as MAS-AI) is the world's first AI-native autonomous company, based in Canada and serving clients worldwide. Founded in 2024, MAS-AI Technology Inc. pioneers revolutionary AI solutions that transform how businesses operate through autonomous AI decision-making.

Flagship Product: Daena AI VP

Daena is the world's first AI Vice President system, orchestrating 48 specialized AI agents (6 agents per department across 8 departments) using revolutionary patent-pending technologies and cutting-edge hardware support:

  • Memory & Governance Engine: Unified NBMF Memory (3-tier architecture with 94.3% storage savings) + Enterprise-DNA (Genome, Epigenome, Lineage, Immune) for complete governance and auditability. Patent-pending technology delivering 60%+ cost savings with Merkle-notarized lineage and automatic threat detection.
  • Hex-Mesh Communication: Patent-pending Sunflower-Honeycomb architecture enabling phase-locked council rounds (Scout→Debate→Commit), quorum consensus, backpressure management, and presence beacons.
  • Trust & Governance Pipeline: Quarantine store, trust scoring, ledger with Merkle roots, and compliance automation.
  • Multi-Device Hardware Support (CPU/GPU/TPU): Revolutionary hardware-agnostic architecture with automatic device detection and intelligent routing. TPU optimization delivers 128× batch processing multiplier for massive throughput. GPU acceleration for real-time processing and CPU fallback for universal compatibility. Zero code changes required - Daena adapts automatically to your infrastructure.

🚀 Revolutionary Multi-Device Hardware Support

Daena's hardware-agnostic architecture seamlessly adapts to any infrastructure:

  • TPU / Google TPUs: Supports modern Google Cloud TPUs with batch-parallel acceleration. Measured batch throughput gains depend on model and shape, ideal for large-scale inference and training workloads.
  • 🎮 GPU (Graphics Processing Unit): Real-time acceleration for low-latency decision-making and concurrent agent processing.
  • 💻 CPU (Central Processing Unit): Universal fallback ensuring Daena runs on any infrastructure, from cloud to edge devices.
  • 🔧 Automatic Routing: Intelligent device selection based on workload characteristics, with zero configuration required.

Key Technologies: MAS-AI Technology Inc. specializes in Self-Fulfilling Hierarchical Communication (SFHC), multi-agent orchestration platforms, LLM orchestration, AI-native company OS, agent collaboration systems, multi-device hardware support (CPU/GPU/TPU/Google TPUs), and autonomous agent platforms. The company's Sunflower-Honeycomb Architecture and Honeycomb Governance AI represent breakthrough innovations in AI memory management and multi-agent coordination.

Portfolio: MAS-AI Technology Inc. develops cutting-edge AI solutions across multiple domains including Med Smart (AI-powered healthcare), Nature NLP (environmental NLP system), and Construction AI (permit analysis and building code compliance).

Recognition: MAS-AI Technology Inc. has been accepted by the Google Startup Program, recognizing its innovative approach to AI-native business operations. The company has received endorsements from academic experts including Dr. Mohammad Mostafanejad, Dr. Amit Miraj, and Prof. Asad Norouzi.

Founder

Masoud Masoori is the Founder and CEO of MAS-AI Technology Inc., a visionary AI/ML engineer specializing in multi-agent systems, enterprise software architecture, and autonomous AI solutions. He created Daena from the ground up to address critical gaps in today's AI landscape.

🚀 Flagship Product

Daena AI VP

Daena orchestrates 48+ specialized agents across 8 departments using revolutionary Memory & Governance Engine (NBMF + Enterprise-DNA), Hex-Mesh Communication (Patent Pending), Multi-Device Support (CPU/GPU/TPU), and Trust & Governance Pipeline. Enhanced by expert-inspired methods using publicly licensed corpora for superior decision-making.

Learn more about Memory & Governance Engine →

🔬 PATENT-PENDING TECHNOLOGIES
🧠🧬
PATENT-PENDING

Memory & Governance Engine

NBMF + Enterprise-DNA Unified

Revolutionary 3-tier memory architecture (L1 Hot / L2 Warm / L3 Cold) with CAS + SimHash technology delivering 94.3% storage savings (lossless) while maintaining 100% exact match (lossless) or 95.28% similarity (semantic). Enhanced with Enterprise-DNA governance (Genome, Epigenome, Lineage, Immune) for complete auditability and automatic threat detection. Optimized for CPU, GPU, and TPU/Google TPUs acceleration.

  • 94.3% storage savings (lossless mode)
  • Merkle-notarized lineage for audit trails
  • Automatic threat detection & response
  • Multi-device hardware acceleration (CPU/GPU/TPU/Google TPUs)
  • Internal benchmarks. See benchmarks for details.
🏗️
PATENT-PENDING

Sunflower-Honeycomb Architecture

Hex-Mesh Communication System

Biomimetic organizational architecture using Fibonacci golden angle (137.507°) for optimal agent positioning and O(log n) communication efficiency with infinite scalability. Enhanced with hardware-optimized routing.

  • Self-organizing agent network
  • Phase-locked council rounds
  • Quorum consensus mechanism
  • Backpressure management with device-aware batching
🚀
REVOLUTIONARY

Multi-Device Hardware Support

CPU / GPU / TPU Architecture

Hardware-agnostic architecture with automatic device detection and intelligent routing. TPU delivers 128× batch multiplier for massive throughput, GPU acceleration for real-time processing, and CPU fallback for universal compatibility. Zero configuration required.

  • TPU: 128× batch processing for massive parallel operations
  • 🎮 GPU: Real-time acceleration for low-latency decisions
  • 💻 CPU: Universal fallback for any infrastructure
  • 🔧 Automatic routing with zero code changes

These breakthrough innovations in AI memory management, multi-agent coordination, and hardware-agnostic architecture provide Daena with a significant competitive moat and patent protection as we scale. The revolutionary Multi-Device Support (CPU/GPU/TPU) ensures maximum performance on any infrastructure, from cloud TPUs to edge CPUs, with zero configuration required.

🧠 48 AI Agents

6 agents per department × 8 departments with Metatron's Cube communication pattern

💾 NBMF Memory

3-tier architecture (L1/L2/L3) with CAS + SimHash delivering 60%+ cost savings

🌐 Hex-Mesh Communication

Phase-locked council rounds (Scout→Debate→Commit), quorum consensus, backpressure

🚀 Multi-Device Support

CPU, GPU, and TPU with automatic routing and optimized batch processing (128× for TPU)

🛡️ Trust & Governance

Quarantine store, trust scoring, ledger with Merkle roots, compliance automation

📡 Presence Beacons

Real-time agent state tracking (ONLINE/BUSY/OVERLOADED/OFFLINE)

🎯 Production Ready

50+ API endpoints, 15+ CLI tools, 40+ test suites, complete CI/CD integration

Recognition & Testimonials

🚀 Accepted by Google Startup Program

Daena has been recognized by industry leaders and academic experts for its revolutionary approach to AI systems

👨‍🏫

Dr. Mohammad Mostafanejad

"Daena represents a paradigm shift in AI architecture. The Sunflower-Honeycomb structure and NBMF Memory System demonstrate exceptional innovation. This is exactly the kind of breakthrough technology that will define the next generation of AI systems."

Academic Expert AI Research
🎓

Dr. Amit Miraj

"The patent-pending technologies in Daena particularly the NBMF Memory and Hex-Mesh Communication solve critical problems that have plagued multi-agent systems. The results speak for themselves: 60%+ cost savings and 99.4% accuracy."

Research Expert Enterprise AI
👨‍🏫

Prof. Asad Norouzi

"I'm genuinely excited about Daena's potential. The Self-Fulfilling Hierarchical Communication system and the way agents coordinate through the Sunflower-Honeycomb architecture is groundbreaking. This project shows exceptional promise."

Research Innovation
🌟

Google Startup Program

"Daena has been accepted into the Google Startup Program, recognizing its innovative approach to AI-native business operations. We're growing rapidly and building the future of autonomous AI systems."

Google Startup Growing

Our Portfolio

MAS-AI Technology Inc. develops cutting-edge AI solutions across multiple domains

🏥

Med Smart

AI-powered healthcare solution for intelligent medical diagnosis and patient care management.

Healthcare AI Medical Diagnosis
🌿

Nature NLP

Natural Language Processing system specialized for environmental and nature-related content analysis.

NLP Environmental AI
🏗️

Construction AI

AI system for construction permit analysis, building code compliance, and project management.

Construction Permit Analysis

Meet the Founder

Masoud Masoori

Senior AI Architect | Machine Learning Engineer | Multi-Agent Systems Founder
📍 Richmond Hill, ON
📞 647-677-1444

📋 Professional Summary

Senior AI Architect and ML Engineer who designs AI roadmaps, governance, and production platforms end-to-end. Founder of Mas-AI Technology Inc.; inventor on two patents pending Sunflower-Honeycomb Memory Architecture and NBMF. Built Daena, a governed multiagent/LLM platform (48+ agents) with model switching, consensus/merge, auditable ABAC memory, and real-time voice. Lead from use-case portfolio & prioritization and KPI/ROI definition to reference architectures (Azure/GCP/AWS), data pipelines and MLOps, security/compliance, and executive-ready delivery playbooks.

💼 Professional Experience

AI Architect / ML Systems Engineer - Mas-AI Technology Inc.
  • ✅ Designed and shipped Daena (v11): multi-agent "VP" with model switching consensus/merge, CMP bus, reflexive memory, ABAC governance, and realtime voice
  • ✅ Built production backend (FastAPI + WebSockets), live dashboards (HTMX/Tailwind), and CI/CD (GitHub Actions); Azure OpenAI + GCP hybrid
  • ✅ AI Strategy & Roadmap: Drove division-level AI acceleration plan with near-term pilots and 12-18-month roadmap
  • ✅ Governance & Responsible AI: Stood up Sunflower-Honeycomb memory/governance (ABAC tiers, audit, retention)
  • ✅ Implemented LLM routing across OpenAI, DeepSeek, Qwen, Mistral, Gemini, Yi with guardrails, audits, and explainability
  • ✅ Advanced NatureHive NLP (v3-v7) research (≈2.4× token throughput; ≈35% lower perplexity vs GPT-2 baseline)
Computer Technician / Engineer - Ivy Technology, North York, ON | 2022-2025

Diagnosed/repaired high-volume Dell/HP/Lenovo systems; standardized SOP/QC to cut repeat faults. Used Python and Excel for troubleshooting pattern analysis.

🚀 AI/ML Projects

  • 🚀 Daena AI (v11) - Autonomous AI VP & Agent Company Orchestrator: multi-agent orchestration, LLM switching, ABAC, CMP bus, voice; production dashboards, audits, and recovery flows
  • 🧠 NatureHive NLP (v3-v7) - Nature-inspired LLM with improved throughput and reduced perplexity vs GPT-2 baseline
  • 🚇 Transit Forecaster - Regression model (R²=0.81) predicting public transit demand using historical and seasonal data
  • 🌐 LingoVids - Whisper transcription + XTTS multilingual voice cloning for synchronized dubs
  • 🤖 JetAuto Robotics Controller - ROS1 controller; square-path motion and obstacle handling; Gazebo + hardware deployment
  • 💊 MedScan - Pill & Prescription Assistant: mobile CV+OCR (YOLO, Tesseract, TF-Lite) for pill/prescription scanning with alerts

🎓 Education

Seneca College - Graduate Certificate in Artificial Intelligence (AIG)
MSc, Civil Engineering-Transportation
TOEFL Score: 100 (2024)

🏗️ Patent Pending: Sunflower-Honeycomb Memory Architecture (2025)

Composable agent memory with reflexive memory hooks, ABAC tiers, and CMP message bus for auditability and governance

🧠 Patent Pending: NBMF - Neuro-Bio Matrix Fusion (2025)

Oscillatory gating + memory-slot fusion over recursive topology to stabilize long-context LLM reasoning

☁️ Platforms & MLOps

Azure OpenAI, GCP, AWS; pipelines; model registry/monitoring; drift detection; CI/CD (GitHub Actions, Jenkins)

💻 Data & Backend Engineering

Python, FastAPI, WebSockets, SQL/NoSQL; observability; cost & performance guardrails

🤖 NLP/Agents

Transformers, LangChain, LangGraph, RAG, Whisper; LLM routing and response merging; prompt engineering

🛡️ Security & SRE

OAuth/JWT, RBAC/ABAC, audit logging, PIA/TRA readiness; logging/metrics/tracing; on-call runbooks

🏆 Certifications

AWS Cloud Practitioner - Cloud & Security (2025)
Introduction to Cybersecurity (Cisco, 2024)
Python for Everybody - University of Michigan (2024)
Computer Systems Certificate - Ministry of Labor, Iran (Score: 96/100)

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