Explore
The agent tests decisions within the simulation and observes what follows.
Self-learning tactical intelligence
Axiomyx™
Adaptive Intelligence That Learns.
Axiomyx learns, adapts, and makes smarter decisions through experience—on its own.
Self-LearningUnsupervised reinforcement learning
AdaptiveImproves through experience
TacticalReasons through complex decisions
What is Axiomyx?
Intelligence built to evolve.
Axiomyx is an adaptive artificial intelligence project focused on systems that learn strategies through repeated experience instead of relying only on fixed scripts.
Its first public demonstration places a self-learning tactical agent inside a complex tabletop-inspired environment where it must evaluate board state, anticipate outcomes, and make decisions in real time.
How it learns
Experience becomes strategy.
Evaluate
Learning models estimate which actions and positions are most valuable.
Adapt
Repeated experience changes future behavior and reveals stronger patterns.
Decide
The trained system applies what it learned to new tactical situations.
Live at NOVA Open 2026
Challenge a machine that teaches itself.
See Axiomyx make tactical decisions live, learn how the training system works, and meet the creator behind the project.
- Live interactive demonstrations
- Real-time AI decision making
- Technical walkthroughs and project discussion
A
Learn. Adapt. Outthink. Win.
Meet the creator
Raymond Fain
Raymond Fain is an AI/ML engineer, software developer, and U.S. Army leader with more than 17 years of leadership and operational experience. He created Axiomyx to explore how self-learning systems can reason through complex problems.
“Build intelligence that does more than follow instructions—build intelligence that learns.”
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Join the Axiomyx community.
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