Overview
LEO Medica is the first production application built on Project LEO (Layered Emergent Organism) โ a groundbreaking decentralized AGI architecture developed by Kadropic Labs.
Unlike traditional medical AI systems that require centralized data collection, LEO Medica enables hospitals and healthcare institutions to benefit from collective AI intelligence while keeping all patient data completely private and on-premise.
๐ฎ Part of Something Bigger
LEO Medica is the medical vertical of Project LEO โ our mission to build decentralized artificial general intelligence. The same core technology will power future applications in finance, research, and beyond.
The Problem
Healthcare institutions face an impossible choice: share sensitive patient data to access AI advancements, or stay private but fall behind technologically.
Our Solution
A decentralized network where institutions share reasoning and knowledge signals โ never raw data. Privacy and intelligence, without compromise.
The Result
Collective intelligence that improves continuously across the network, while every institution maintains complete data sovereignty.
How It Works
๐ Free Web Interface
The public web version is designed for individual healthcare professionals โ doctors, medical students, and researchers. It provides instant AI-powered diagnostic assistance using our 8-node analysis network, completely free.
LEO Medica operates as a distributed network of independent analysis nodes. Each node processes medical cases using different reasoning approaches, then reaches consensus through our Byzantine-resilient protocol.
Analysis Flow Architecture
Case Submission
The medical case is submitted to the decentralized network. No patient identifiers are stored โ only the clinical presentation.
Parallel Analysis
Multiple independent nodes analyze the case simultaneously, each using specialized reasoning approaches (symptom matching, differential diagnosis, pattern recognition, etc.).
Byzantine Consensus
Nodes share their conclusions (not data) and reach consensus through our ADMM-based protocol. Disagreements are weighted and resolved mathematically.
Confidence Scoring
The final diagnosis includes a confidence score based on node agreement (consensus ratio) and individual node confidence levels.
Enterprise Network
For healthcare institutions, LEO Medica offers a fundamentally different experience โ a dedicated node within a global network of medical institutions, sharing collective intelligence while maintaining complete data sovereignty.
๐ How Enterprise Network Works
Each institution deploys its own dedicated LEO node on-premise. These nodes form an ever-growing global network โ the more institutions join, the more intelligent the collective becomes.
- Your Own Node: A dedicated AI node running within your infrastructure
- Global Knowledge Network: Connected to hospitals, clinics, and research centers worldwide
- Unlimited Nodes: Network size grows with each new member โ a Japanese hospital, an American clinic, a European research center, all contributing to collective intelligence
- Knowledge Sharing, Not Data: Institutions share reasoning patterns and model improvements โ never patient data
Hospitals & Clinics
Full diagnostic support with institution-specific customization and integration with existing EHR systems.
Research Institutions
Access to anonymized global medical patterns for research, without compromising patient privacy.
Pharmaceutical Companies
Drug interaction analysis, clinical trial insights, and real-world evidence generation.
Insurance Providers
Risk assessment, claims validation, and fraud detection powered by global medical intelligence.
Biotech & R&D
Accelerate research with access to collective medical reasoning from institutions worldwide.
Medical Education
Training tools for medical students powered by real-world diagnostic patterns.
๐ The Network Effect
Unlike traditional AI systems that improve only with your data, LEO's enterprise network gets smarter as more institutions join globally. A rare disease diagnosed in Tokyo improves diagnostic accuracy in New York โ all without sharing a single patient record.
Enterprise Network Architecture
โจ Enterprise Features
- Dedicated Interface: Custom dashboard tailored to your institution's workflow
- On-Premise Deployment: Your node runs on your servers โ data never leaves your network
- EHR Integration: Connect with Epic, Cerner, and other major systems
- Custom Training: Fine-tune your node on your institution's specialty
- Priority Support: Dedicated technical support and SLA guarantees
- Compliance Reports: Automated HIPAA, GDPR, and regional compliance documentation
Core Technology
LEO Medica is powered by Project LEO's cognitive architecture โ a complete technical blueprint for decentralized AGI. Here are the key innovations:
๐ก๏ธ Byzantine-Resilient ADMM Consensus
Our consensus mechanism ensures correct results even when some nodes behave maliciously or produce errors.
- Robust Aggregation: Uses geometric median to suppress outliers
- Trust Weights: Dynamic coefficients that adapt based on node reliability
- Fault Tolerance: System remains accurate with up to f < n/3 malicious nodes
๐ ZKF โ Zero-Knowledge Fragmentation Layer
A novel verification system that proves computational correctness without revealing underlying data.
- Proof Fragments: Each node generates micro-attestations (ฯแตข) for its computations
- Sub-millisecond Verification: Distributed proofs verified in 0.05-0.3ms
- Information-Theoretic Privacy: Impossible to reconstruct private data from commitments
- SLMCS: Small-LM Consistency Signatures for semantic validation
๐งฌ SELC โ Self-Evolving Local Circuits
A meta-architectural layer enabling dynamic cognitive reconfiguration.
- Dynamic Pipelines: Nodes assemble task-specific computation circuits
- Circuit Mutation: Evolutionary optimization of reasoning paths
- Adaptive Efficiency: Lightweight circuits for simple tasks, deep circuits for complex cases
- Cross-Node Evolution: Successful circuit patterns propagate across the network
๐ง Hierarchical Memory Architecture
Neuromorphic memory systems enabling contextual reasoning.
- STM (Short-Term Memory): Circular buffer for recent context
- LTM (Long-Term Memory): Self-organizing sparse graph of episodic states
- Concept Graphs: Dynamic abstraction and symbolic reasoning
- Hebbian Learning: Connections strengthen through co-activation
๐ Adaptive Computation Governor
A meta-controller that dynamically balances security, intelligence, and speed. In "Peace-Time" mode, the system maximizes throughput. In "War-Time" mode (high-risk scenarios), it enforces 100% cryptographic verification.
Privacy & Security
Privacy isn't a feature โ it's the foundation. LEO Medica was architected from day one to make data privacy mathematically guaranteed, not just policy-based.
Zero Data Collection
We never store, access, or transmit patient data. Analysis happens in real-time with no persistent storage.
On-Premise Ready
Enterprise nodes deploy within your infrastructure. Data never leaves your network perimeter.
HIPAA & GDPR
Designed for compliance. Our architecture satisfies the strictest data protection requirements by design.
Cryptographic Proof
ZKF layer provides mathematical guarantees that no private information can be extracted from network communications.
๐ What Gets Shared vs. What Stays Private
- SHARED: Compressed reasoning signals, model weight updates, consensus votes
- PRIVATE: Raw patient data, medical records, case details, institutional information
- VERIFIED: Computational correctness proofs (without revealing inputs)
Frequently Asked Questions
Is LEO Medica free to use?
+Yes! The public web interface is completely free for individual healthcare professionals โ doctors, medical students, nurses, and researchers. Enterprise deployments with dedicated nodes and advanced features are available through our Founding Members Program.
Who can join the Enterprise Network?
+Any organization that wants access to global medical intelligence can join:
โข Hospitals & Medical Centers โ public and private
โข Clinics & Private Practices
โข Medical Research Institutions
โข Pharmaceutical Companies
โข Health Insurance Providers
โข Biotech & R&D Companies
โข Medical Device Manufacturers
โข Healthcare Consulting Firms
โข Medical Education Institutions
Essentially, any organization that benefits from world-class medical knowledge without compromising data privacy.
Is my patient data safe?
+Absolutely. We never store patient data. The system processes cases in real-time and only retains anonymized analytical signals. Our ZKF layer provides cryptographic guarantees that private information cannot be extracted. For enterprise clients, data never leaves your infrastructure โ your node runs entirely on-premise.
How does knowledge sharing work without sharing data?
+This is the core innovation of LEO Medica. Instead of sharing patient records, nodes share:
โข Model weight updates โ mathematical improvements to the AI
โข Reasoning patterns โ abstracted diagnostic logic
โข Consensus signals โ aggregated conclusions
Think of it like doctors sharing expertise at a conference without revealing patient names. The knowledge transfers, but the data stays private.
How accurate is the diagnosis?
+LEO Medica provides a confidence score (25-95%) based on node consensus. Higher agreement among nodes indicates higher reliability. The more institutions join the enterprise network, the more accurate the collective intelligence becomes. Remember: this is a decision-support tool, not a replacement for professional medical judgment.
How can my institution join the network?
+Our Founding Members Program is currently at full capacity as we onboard our first wave of institutions. Follow us on LinkedIn for announcements when new slots become available, or visit our Enterprise page to learn more.
What is Project LEO?
+Project LEO (Layered Emergent Organism) is Kadropic Labs' initiative to build decentralized artificial general intelligence. LEO Medica is the first vertical application, with plans to expand into finance, research, and other domains using the same privacy-preserving, decentralized architecture.
What makes this different from ChatGPT or other AI?
+Three key differences:
1. Decentralized: No single point of control or failure โ intelligence emerges from a network of independent nodes.
2. Privacy-First: Data never leaves your control. We share knowledge, not data.
3. Consensus-Based: Multiple independent analyses, not a single model's opinion. Our Byzantine-resilient architecture ensures reliability even under adversarial conditions.