🧠 Logorythms
Building the world's first Physics-Native Superintelligence (PNS)
The Mission
We're building a hybrid intelligence engine that fuses transformer reasoning, neuromorphic silicon, and biological neurons to create AGI that understands and simulates the physical world, not just language. This is intelligence that feels physics— working with time, entropy, causality, and sensory feedback like an organism rather than software.
🌟 Why Physics-Native Intelligence Matters
Current AI Limitations
Current AI is trapped in language and can't solve the biggest unsolved problems that are fundamentally physical: discovering superconductors, real-time climate simulation, understanding dark energy, or building fusion reactors.
Our Breakthrough Approach
We need intelligence that understands physics—that builds internal models of reality which can evolve, adapt, and discover the hidden rules of nature through direct interaction with the physical world.
🏗️ Hybrid Architecture
🤖 Transformer Reasoning
Symbolic abstraction and language processing using open-source LLMs as frontend interfaces
⚡ Neuromorphic Silicon
Energy-efficient spiking inference using IBM NorthPole and Intel Loihi architectures
🧬 Biological Neurons
CL1 biological neurons for dynamic learning and plasticity—50× faster learning on 1/1,000,000th the energy
🔬 Research Partnerships
🏛️ Academic Hubs
- • Harvard AI Research - Hybrid intelligence architectures
- • MIT Brain & Cognitive Sciences - Neural-silicon interfaces
- • University of Heidelberg - BrainScaleS neuromorphic project
- • Stanford HAI - Ethics and safety protocols
🏢 Technology Partners
- • IBM Research - NorthPole neuromorphic chips
- • Intel Labs - Loihi development collaboration
- • Cortical Labs - CL1 biological neuron computing
- • Open Neuromorphic - Global research community (2100+ members)
🌐 Application Partners
- • CERN - Climate modeling collaboration
- • Materials discovery labs - 8 university partnerships
- • Quantum systems - Modeling partnerships
- • Synthetic biology - Research collaborations
🎯 Target Applications
🔬 Materials Discovery
AI that can predict and design new materials by understanding atomic interactions, electron behavior, and thermodynamic properties.
- • Room-temperature superconductors
- • Ultra-efficient solar cells
- • Biodegradable plastics with custom properties
- • Self-healing construction materials
⚛️ Quantum Systems Modeling
Simulate quantum behavior for drug discovery, catalysis, and understanding fundamental physics phenomena.
- • Quantum drug interactions
- • Catalysis optimization
- • Quantum computing algorithm design
- • Dark matter interaction modeling
🌍 Real-time Earth System Modeling
Dynamic climate and ecosystem models that can predict and respond to environmental changes in real-time.
- • Climate tipping point prediction
- • Ecosystem restoration optimization
- • Agricultural yield optimization
- • Natural disaster prediction
🧬 Synthetic Biology
Design biological systems by understanding protein folding, genetic interactions, and cellular dynamics.
- • Custom microorganisms for carbon capture
- • Personalized medicine design
- • Biological manufacturing systems
- • Ecosystem restoration organisms
⚡ Technical Approach
Biological Learning
CL1 biological neurons learn 50× faster than deep RL while using 1/1,000,000th the energy. These living neurons provide dynamic plasticity and adaptation.
Neuromorphic Processing
IBM NorthPole and Intel Loihi chips process information like biological neurons, enabling real-time sensory feedback and temporal processing.
Closed-Loop System
Unlike traditional AI, our system learns from real-time feedback— more like an organism that evolves through interaction with its environment.
💰 Seed Round: $5M to Build the First Prototype
🎯 Use of Funds
- • $2M: Hardware infrastructure (neuromorphic chips, biological neuron systems)
- • $1.5M: Core research team (neuroscientists, AI researchers, engineers)
- • $1M: Partnership development and pilot collaborations
- • $0.5M: Regulatory compliance and ethics framework
📊 18-Month Milestones
- • Month 6: First hybrid system prototype operational
- • Month 12: Pilot materials discovery partnerships
- • Month 15: First commercial applications demonstration
- • Month 18: Series A preparation and scaling roadmap
🎯 Ideal Investors
We're seeking investors who understand the transformative potential of hybrid intelligence systems and are committed to responsible AGI development. Ideal partners include deep tech VCs, sovereign wealth funds focused on frontier technology, and family offices with long-term vision for civilization-scale impact.
🤝 Research Collaboration Opportunities
We're actively seeking research partnerships with universities, labs, and organizations working on complementary technologies. Join our consortium to accelerate the development of physics-native intelligence.
🔬 Research Areas
- • Neuromorphic computing architectures
- • Biological neuron-silicon interfaces
- • Physics-informed machine learning
- • Hybrid intelligence safety protocols
- • Real-time learning algorithms
🎯 Ideal Partners
- • Neuroscience and cognitive science labs
- • Materials science research groups
- • Physics departments with AI focus
- • Synthetic biology laboratories
- • Climate and earth system modeling teams
Connect with Logorythms
Join us in building the first Physics-Native Superintelligence for humanity.