Real-time evolutionary intelligence for Unreal Engine.
NeuroFlux Genesis is a real-time evolutionary intelligence framework that combines neurodynamics, perception, and GPU-native execution from sensing to action.
Built for investor diligence and developer studios that need transparent, end-to-end AI infrastructure inside UE5.
Built by Coheron Technologies Kft
What NFG is
A full-stack framework for real-time evolution.
NFG replaces static training with continuous adaptation inside the simulation loop.
What sets it apart
- Evolution and learning run continuously in real time.
- Neurodynamics (STDP + neuromodulation) shape behavior online.
- GPU-native data flow from perception to action.
- Unreal Engine 5 plugin with tooling and telemetry.
Breakthroughs
Breakthroughs that define NFG
Selected milestones that are genuinely differentiating.
GPU-native evolution stack
CMA-ES eigendecomposition, crossover and mutation kernels, and Hall of Fittest orchestration for large populations.
MMS neurons and TS-ReLU
Per-neuron state machines with evolvable dynamics to express adaptive behavior beyond static layers.
Neurodynamics in real time
STDP plasticity combined with four-channel neuromodulation (DA/NE/ACh/5-HT) to shape learning.
Perception built for agents
GPU raycasting plus retina-style feature extraction for autonomous perception.
World prediction and what-if rollouts
Multi-step GPU rollouts with action variants to score outcomes in real time.
NFGServer distributed learning backbone
Node.js + MongoDB backend that persists models and telemetry, validates uploads, and orchestrates training queues for cross-world learning.
Architecture
End-to-end GPU pipeline
Data stays on the GPU from sensors to actions.
Sensors and perception
Raycasting and vision features generated directly on the GPU.
Neurodynamics
MMS neurons, STDP, and neuromodulators shape activity in real time.
Evolution and selection
CMA-ES, crossover, mutation, and Hall of Fittest orchestration.
Action and physics
Actions feed directly into the UE5 simulation loop.
Telemetry and control
NFGServer persists models and telemetry and orchestrates training queues across worlds.
End-to-end GPU pipeline (simplified).
Capabilities
Capabilities in clusters
Transparent view of what is implemented today.
Evolution engine
Optimization and selection at scale.
- GPU CMA-ES with eigendecomposition
- GPU crossover and mutation kernels
- Hall of Fittest persistence and insertion
- Adaptive mutation scheduling strategies
Neurodynamics
Online learning inspired by biology.
- STDP plasticity for causal learning
- Four neuromodulator channels (DA/NE/ACh/5-HT)
- Predictive coding and error-driven signals
- Sleep replay consolidation
Neural architecture
Expressive, evolvable neuron design.
- Multi-Mode State (MMS) neurons
- TS-ReLU with evolvable parameters
- GPU LSTM/GRU/Elman support
- Per-layer activation selection
Perception and world modeling
Agent-first sensing and prediction.
- RT-core raycasting sensors
- Retina-style GPU vision pipeline
- World predictor rollouts
- Proprioception and physics sensors
Runtime and tooling
UE5-native compute with deep control.
- RDG compute pipeline
- Async compute scheduling via RDG
- Config and serialization system
- Telemetry, debug, and visualization tools
NFGServer & distributed learning
Persistence, telemetry, and orchestration beyond a single world.
- REST/WebSocket model uploads with validation
- MongoDB persistence for models, runs, and telemetry
- Training queues for distributed workers
- Shared evolution database across environments
Full feature catalog
Explore the complete public catalog of implemented NFG capabilities.
Use cases
Built for studios and investors
NFG targets demanding real-time environments and large agent populations.
No public benchmarks yet. Full feature catalog available publicly.
Adaptive game AI
NPCs and agents that evolve against player strategies in real time.
Simulation and robotics R&D
Train control policies in high-fidelity UE5 scenes with rich sensor input.
Multi-agent experimentation
Large populations for emergent behavior and strategy discovery.
Technical demonstrator
AIRacing
A physics-heavy lab designed to stress NFG perception and evolution.
Private builds and technical deep dives available on request.
Company
Coheron Technologies Kft
Independent R&D focused on real-time evolutionary AI.
NFG is built inside the AIRacing lab environment and engineered for production-grade UE5 integration.
Sole creator
Architecture, GPU backend, and UE5 integration are designed and implemented by the founder.
Contact
Investor and studio inquiries
Reach out for technical diligence, private builds, and roadmap discussion.
Email is the fastest path to a deep dive.