Daena is an AI VP that runs your company with a network of coordinated agents.
It plans, executes, and learns across departments so you move faster with fewer gaps.
Daena is an AI VP that runs your company with a network of coordinated agents.
It plans, executes, and learns across departments so you move faster with fewer gaps.
Mas-AI Technologies Inc. is the company behind Daena, our flagship AI VP, and VibeAgent, the interface that connects people to Daena's architecture.
Your virtual VP that coordinates AI agents across departments. Plans, executes, and learns continuously.
Daena has been recognized by industry leaders and academic experts for its revolutionary approach to AI systems
"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."
"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."
"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."
"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."
MAS-AI Technology Inc. develops cutting-edge AI solutions across multiple domains
Our flagship AI VP that runs your company with a network of coordinated agents. It plans, executes, and learns across departments.
The user-facing interface to Daena. It gives teams a clear way to interact with Daena's architecture, configure agents, and monitor what the AI VP is doing for the company.
Natural Language Processing system specialized for environmental and nature-related content analysis.
AI-powered healthcare solution for intelligent medical diagnosis and patient care management.
AI system for construction permit analysis, building code compliance, and project management.
Mas-AI was founded by Masoud Masoori, an immigrant entrepreneur who arrived in Canada in 2022. With a background in AI, deep learning, and robotics, he is building Daena and VibeAgent as a Canadian deep-tech platform for AI-native companies.
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.
Diagnosed/repaired high-volume Dell/HP/Lenovo systems; standardized SOP/QC to cut repeat faults. Used Python and Excel for troubleshooting pattern analysis.
Seneca College - Graduate Certificate in Artificial Intelligence (AIG)
MSc, Civil
Engineering-Transportation
TOEFL Score: 100 (2024)
Composable agent memory with reflexive memory hooks, ABAC tiers, and CMP message bus for auditability and governance
Oscillatory gating + memory-slot fusion over recursive topology to stabilize long-context LLM reasoning
Azure OpenAI, GCP, AWS; pipelines; model registry/monitoring; drift detection; CI/CD (GitHub Actions, Jenkins)
Python, FastAPI, WebSockets, SQL/NoSQL; observability; cost & performance guardrails
Transformers, LangChain, LangGraph, RAG, Whisper; LLM routing and response merging; prompt engineering
OAuth/JWT, RBAC/ABAC, audit logging, PIA/TRA readiness; logging/metrics/tracing; on-call runbooks
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)