Understand
EvoQ™, PROPRIETARY AI CORE
Evolving, Intelligent, Competitive
A unified AI engine integrating learning, reasoning, and adaptability for real-world solutions
Integrative Approach to AI
Unified Intelligence, Not Fragmented Models
We build a unified and coherent AI core system, EvoQ, avoiding fragmented machine learning libraries and multiple LLM APIs. EvoQ's architecture is focusing on the core representation of intelligence rather than isolated improvements.
Innovative AI System Architecture
For Real-World Evolving Complexity
Oxide's core AI technology integrates inductive inference (such as LLMs and Deep Learning), reasoning, and neurosymbolic AI into a self-improving engine, EvoQ, with multi-level feedback for continuous adaptation.
Probabilistic inference and learning from examples often fall short in fields like finance, healthcare, industry, and environmental improvement.
To tackle more complex problems, especially those requiring real-time adaptation, precise calculations, simulations, and reasoning are essential.
EvoQ AI Engine develops custom AI agents that integrate information-perception and goal-driven reasoning for continuous optimization.
Explainable And Transparent AI
Critical decisions in the real world rely on explainable and transparent insights grounded in facts and evidence. Clear explanations and data transparency complement reasoning, providing a solid rationale for decisions. In Oxide's AI system, comprehensive explanations enhance accuracy and precision, and play a key role in improving reasoning capabilities. This approach benefits both the training of generative AI models and the direct improvement of computational reasoning models.
Neuro-Symbolic AI
Neuro-symbolic reasoning combines the intuitive pattern recognition of neural networks with the precise logical and computational reasoning of symbolic AI systems. This integrated approach enhances the understanding and interpretation of complex data, also allowing for the enforcement of specific constraints and policies in the outputs. It enables AI to recognize patterns, learn from large datasets, and execute complex plans based on predefined goals, all while adhering to corporate guidelines. Additionally, the system performs analytical operations, logically aggregates and selects insights, presents diverse decision options, and generates human-readable explanations.
Isolation for Control
Oxide’s AI system draws inspiration from biological processes, where the brain isolates selections of learned models based on specific information and trajectories. This isolation is crucial to address data errors, interpretative ambiguities, contradictions, and manipulations in real-world scenarios. Similarly, all AI agents in Oxide's system are isolated, along with the environments in which they operate, ensuring robust and reliable performance.
The Need For Speed
Algorithmic innovation significantly influences the cost and efficiency of frontier AI, with a single breakthrough potentially redefining hardware and software needs. Oxide AI develops hybrid systems that utilize generative AI for natural language tasks and computational AI for exponentially faster numerical processing. This approach not only provides a competitive edge but also supports environmental sustainability.
Explainable And Transparent AI
Critical decisions in the real world rely on explainable and transparent insights grounded in facts and evidence. Clear explanations and data transparency complement reasoning, providing a solid rationale for decisions. In Oxide's AI system, comprehensive explanations enhance accuracy and precision, and play a key role in improving reasoning capabilities. This approach benefits both the training of generative AI models and the direct improvement of computational reasoning models.
Isolation for Control
Oxide’s AI system draws inspiration from biological processes, where the brain isolates selections of learned models based on specific information and trajectories. This isolation is crucial to address data errors, interpretative ambiguities, contradictions, and manipulations in real-world scenarios. Similarly, all AI agents in Oxide's system are isolated, along with the environments in which they operate, ensuring robust and reliable performance.
Neuro-Symbolic AI
Neuro-symbolic reasoning combines the intuitive pattern recognition of neural networks with the precise logical and computational reasoning of symbolic AI systems. This integrated approach enhances the understanding and interpretation of complex data, also allowing for the enforcement of specific constraints and policies in the outputs. It enables AI to recognize patterns, learn from large datasets, and execute complex plans based on predefined goals, all while adhering to corporate guidelines. Additionally, the system performs analytical operations, logically aggregates and selects insights, presents diverse decision options, and generates human-readable explanations.
The Need For Speed
Algorithmic innovation significantly influences the cost and efficiency of frontier AI, with a single breakthrough potentially redefining hardware and software needs. Oxide AI develops hybrid systems that utilize generative AI for natural language tasks and computational AI for exponentially faster numerical processing. This approach not only provides a competitive edge but also supports environmental sustainability.
