Fred von Graf
"Radically open-minded operator ignoring conventional wisdom"
Fred von Graf is a serial entrepreneur, technology innovator, and educator based in the San Francisco Bay Area. As the CEO of InternPro, Inc. and CTO at W4M.ai, Fred is at the forefront of making AI technology accessible and practical for businesses and students alike.
With a track record of building groundbreaking ventures—from launching the largest Bitcoin mining operation in the U.S. (2018) to founding the ASU Startup Accelerator—Fred brings real-world experience to the classroom. His unique approach combines deep technical expertise with strategic business acumen.
At ASU, Fred teaches "Space Business & Entrepreneurship," where he empowers students to leverage AI tools for developing innovative space ventures. His teaching philosophy centers on practical, hands-on learning that prepares students for the rapidly evolving NewSpace economy.
Current Ventures
InternPro.ai
Founder & CEO
Revolutionary platform connecting talented interns with innovative startups, transforming how companies discover and develop emerging talent through AI-powered matching and development programs.
W4M.ai
CTO & Co-Founder
Advanced software development firm specializing in AI solutions, helping businesses integrate cutting-edge artificial intelligence into their operations for transformative results.
AgentOrchestrator.io
Side Quest
Experimental platform for orchestrating AI agents, enabling complex multi-agent workflows and pushing the boundaries of what's possible with autonomous AI systems.
Areas of Expertise
Notable Achievements
- Built and operated the largest Bitcoin mining facility in the United States (2018)
- Founded and scaled the ASU Startup Accelerator, supporting dozens of student ventures
- Organized the Southwest's largest digital marketing conference
- Developed no-code production-ready AI solutions for enterprise clients
- Collaborated with renowned scientists at ASU on cutting-edge research projects
- Successfully exited multiple technology ventures