BRIDGE WP3 AI Kick-off Workshop • April 9, 2026
Agentis Labs Introduction & Previous Related Activities
Mohamed A. Haggag
CEO & Chief AI Architect, Agentis Labs
Personal Snapshot
Academic & Research
- Three academic degrees: B.Sc. Electrical Engineering, MSc. Mechatronics (Professional), MSc. Computer Science
- Four universities across three countries: Egypt (2), Japan (1), US (1)
- Multi-disciplinary research & global academic experience (Georgia Institute of Technology, Swiss AI Initiative in Europe)
Professional Career
- R&D, product, and executive technical leadership roles in AI across Robotics, Autonomous Driving, Blockchain.
- AI Technical and Strategic advisory across 5 industries
- Advising government on National AI Strategy
Agentis Labs
Fundamental and applied Agentic AI R&D — building universal foundations for real-world agentic systems at scale. Active in 4 industries; shipbuilding is the 5th.
Architecture-First
Intelligence emerges from architecture, not any single technology. The problem dictates which AI capabilities compose.
Discovery Through Building
Agentic design principles don’t exist yet. They surface by solving real problems across diverse domains.
Organizational, Not Just Technical
AI adoption that ignores process and workflow redesign defaults to retrofitting — and fails.
Domain Expertise as the Multiplier
The most powerful AI systems emerge from direct collaboration with domain experts, not from AI teams working alone.
Role & Previous Related Activities
T3.3: CAD Automation Script Generation
Agentic system that generates working NAPA C# scripts from designers’ natural language descriptions.
T3.5: Automation Script Management
AI-powered analysis, tagging, and searchable cataloging of automation scripts.
Previous Related Activities
- Development of a multi-model agentic system for reverse engineering source code into structured specifications and documentation from natural language instructions
- Architecture analysis of Claude Code (Anthropic’s agentic coding tool), and publication of methodology for understanding how NL → code agentic systems work
The Future of Shipbuilding in Japan
BRIDGE is the starting point of a 10-year initiative, and the foundation we lay here will shape what Japan’s shipbuilding industry becomes.
- Revolutionary transformation does not come from new tools alone. It requires the industry ecosystem itself to evolve.
- The key enabler is openness and collaboration, across organizations, across disciplines, across borders.
- With this foundation built now, Japan has the opportunity to lead the world in AI-driven shipbuilding by this initiative’s completion.
Looking forward to building together.
Mohamed A. Haggag
mo@agentislabs.co • AgentisLabs.co