Bastion Robotics
THE FUTURE IS ALREADY HERE
An autonomous tactical AI solution that generates and trains on its own scenarios
The World's First Nash Equilibrium Strategy AI
The Growing Need for AI in
Defense Strategy
Pioneering AI for Strategic Dominance
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 terror and war situations. This lack of critical information hinders our ability to prepare for and respond to such threats effectively.
That's where Cerberus comes in. Cerberus is an advanced Nash Equilibrium 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 strategic responses to potential terror and war threats. This ensures that governments and organizations are better equipped to anticipate, mitigate, and neutralize these dangers before they escalate. With Cerberus, we transform uncertainty into strategic clarity, fortifying our defenses and safeguarding our future.
Theoretical Background:
Nash Equilibrium 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 mathematically robust solution to critical decisions
John Nash, 1928-2015
Revolutionized economics with his groundbreaking work in game theory, particularly the concept of Nash equilibrium, 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
Cerberus AI uses
precise Nash Equilibrium mathematics and robust statistics science
to provide clear, rational life-saving decisions
Developing advanced synthetic AI solutions
in line with top tier industry leaders.
1
Palantir AIP
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Combines Palantir’s battlefield intelligence integration with
a chatbot interface.
Allows commanders to optimize analysis and resource allocation through natural language.
2
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.
3
OpenAI Emergent
AI Trainer
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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.