The SMARTHAUS Group
We build AI systems where mathematics serves as the nervous system. Our mathematical substrate enables different AI modules to share information, pursue goals together, and maintain awareness of each other's states.
We prove, then build.
Building the Future of AI
SMARTHAUS is pioneering a new approach to artificial intelligence—one built on mathematical proofs rather than empirical hacking.
Mathematical Foundation
Every system starts with rigorous mathematical proofs, ensuring traceable, ethical, and provably correct behavior.
Field-Native Memory
Our RFS substrate enables AI modules to share information through a shared mathematical field—like a nervous system for AI.
Intelligent Systems
From conversational AI with field-native memory to complete AI operating systems with mathematical guarantees.
Our Vision
Mathematics is not merely a toolbox for designing models; it becomes an active medium within which models coexist and communicate.
Just as a biological nervous system enables different organs to communicate and coordinate, our mathematical substrate enables different AI modules to share information, pursue goals together, and maintain awareness of each other's states.
Read Full Vision Document →SMARTHAUS builds AI that is:
- ✦Modular yet unified — Through RFS, our shared mathematical field substrate
- ✦Distributed yet aware — Through field projections and integrated awareness
- ✦Autonomous yet steerable — Through attractor dynamics
- ✦Deterministic yet adaptive — Through mathematical guarantees
What Sets Us Apart
Deterministic by Design
No non-deterministic silos. Every component is mathematically guaranteed to produce identical outputs for identical inputs.
Traditional AI systems rely on randomness and non-deterministic components that make debugging and validation nearly impossible. SMARTHAUS eliminates these silos entirely. Every operation—from data encoding to field evolution to retrieval—produces identical results for identical inputs. This determinism enables reproducible testing, reliable validation, and mathematical proof of correctness. Production systems behave exactly like test systems, eliminating the 'works on my machine' problem that plagues conventional AI development.
Mathematics as Nervous System
Unlike traditional AI where modules communicate through ad-hoc APIs, SMARTHAUS uses a shared mathematical field for information flow.
Conventional AI architectures treat modules as isolated components connected by APIs. Information flow is point-to-point, creating bottlenecks and limiting system-wide awareness. SMARTHAUS inverts this model: our Resonant Field Storage (RFS) substrate creates a shared 4-D mathematical field where all modules coexist. Information propagates through field interactions, enabling natural resonance, superposition, and interference. This field-native architecture enables modules to share information, coordinate goals, and maintain awareness of each other's states—just like a biological nervous system enables organs to communicate and coordinate.
Self-Improving with Proofs
Our systems can evolve and optimize themselves while maintaining mathematical correctness—mutations validated before adoption.
AI systems typically improve through trial-and-error training that can introduce regressions or unpredictable behavior. SMARTHAUS enables self-improvement through mathematically-validated mutations. When a system proposes an optimization or learns a new pattern, it must first prove that the change maintains all mathematical guarantees. Invariants are checked, lemmas are verified, and only mutations that preserve correctness are adopted. This creates systems that evolve and improve while remaining provably correct—combining the adaptability of machine learning with the reliability of mathematical proofs.
Integrated Awareness
Field-based global workspace enables collective intelligence where the whole is aware of its parts.
Traditional distributed systems struggle with coordination and awareness. Each component operates in isolation, requiring explicit communication to share state. SMARTHAUS uses field projections and integrated awareness to create a global workspace where the system as a whole maintains awareness of its parts. Field interactions naturally propagate information, enabling emergent coordination without explicit messaging. This creates collective intelligence where the whole system is greater than the sum of its parts—modules naturally coordinate, share context, and adapt to system-wide conditions through field-based information flow.
Company Information
Headquarters
Red Bank, New Jersey
Founded
2023
Mission
To build intelligent systems with mathematical guarantees, creating AI that is traceable, ethical, and provably correct.
Contact
Interested in What We're Building?
Whether you're interested in contributing to our mathematical foundations, building on our RFS substrate, or exploring commercial partnerships—we'd love to hear from you.