Bastion Robotics
THE FUTURE IS ALREADY HERE
The Game Theory Physical AI solution
that trains on a massive number of incident response scenarios,
operates the real robot units in the real world
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Millions of simulations in the cloud, learn from massive synthetic data
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Determine the best defense strategy to protect the high value assets
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Commands real robots in the real world, boosts operation effectiveness
The Growing Need for AI in
Defense Strategy
Pioneering Physical AI for
High Value Asset Protection
Modern conflicts are no longer limited to a single domain—they span land, sea, air, space, and cyberspace, requiring faster, smarter, and more adaptive decision-making than ever before.
Traditional wargaming methods, while useful, are often constrained by limited scenarios and human subjectivity.
In contrast, AI-driven systems autonomously simulate thousands of potential outcomes, enabling defense leaders to explore complex missions with greater clarity, speed, and confidence.
This shift marks a turning point: AI is no longer a supporting tool—it is a strategic asset critical to dominance in modern defense environments.
As defense challenges grow more complex across multi-domain environments, advanced AI technologies have become essential for superior strategic planning and operational readiness. Forward-looking organizations are already adopting AI-powered tools to gain a decisive edge.
Cerberus AI provides both battle simulation software, Cerberus SF, that leverages high-precision AI to model realistic conflict scenarios. It enables defense analysts and decision-makers to assess risks, explore tactical options, and identify optimal responses across a wide range of missions. The same simulator will be used to generate massive amount of synthetic battle data via cloud computing, to train Cerberus AI for the defense of customer's valuable assets
WHY CERBERUS?
In today's world, we are inundated with vast amounts of text, audio, and video data. However, there is a significant gap when it comes to actionable data related to real situations. This lack of critical information hinders our ability to prepare for and respond to such cases effectively.
That's where Cerberus comes in. Cerberus is an advanced Game Theory Strategic Defense AI specifically designed to solve this problem. By conducting massive sophisticated simulations, Cerberus generates synthetic data enough to train the AI and provides vital insights and effective responses to potential cases. This ensures that governments and organizations are better equipped to anticipate, mitigate, and neutralize these risks before they escalate. With Cerberus, we transform uncertainty into operational clarity for our future.
Theoretical Background:
Game Theory and Critical Decisions
Fundamentally different way to program computers. “It is a problem that is already relevant, and it’s going to be much more relevant in the future,” says Tommi Jaakkola, a professor at MIT who works on applications of machine learning. “Whether it’s an investment decision, a medical decision, or maybe a military decision, you don’t want to just rely on a ‘black box’ method.”
- The Dark Secret at the Heart of AI, MIT Technology Review
Game Theory and Nash Equilibrium provides
a mathematically precise and robust solution for critical decisions
John Nash, 1928-2015
Revolutionized economics with his groundbreaking work in game theory, particularly the concept of Game Theory, which analyzes strategic interactions.
John von Neumann Theory Prize (1978)
Nobel Memorial Prize in Economic Sciences (1994)
Member of the National Academy of Sciences (1996)
Abel Prize (2015)
Bloomberg Article Game Theory Analysis on Ukraine War
In game theory based mathematics and statistical models, there is no hallucinations or black-box decisions
Developing Physical AI solutions using synthetic data,
in line with the direction of top tier industry leaders.
1
Deepmind Physical Soccer AI
Trains virtual soccer players in digital soccer field, for 5 years non stop sim time. can be applied to the robots
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NVIDIA Drive Labs
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A digital twin simulator developed
by NVIDIA for training autonomous driving AI, currently used by GM, Ford, and Tesla.
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OpenAI Emergent AI
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An AI engine designed for training multi-agent systems with opposing goals in a digital twin environment using reinforcement learning techniques.