Create model candidates
01
Generative AI
Evolving the models themselves — merging expert models, optimizing generation, and searching new architectures.
EvoGM · Evolutionary model mergingThe Infrastructure for Evolutionary AI Systems
Enabling intelligence to adapt, create, and evolve across digital and physical worlds.
Latest News
View All NewsGenesis Assistant: A Clearer View of Running Work
Inspect tasks, understand system capacity and act through one conversation. Genesis’s recent main-branch changes also simplify remote services, background jobs and model credentials.
Genesis: Carrying Software Progress Across Model Changes
A compiler handoff explores how accepted code, project structure and verification records can sustain development when the underlying model changes.
EvoX v1.4.1 Release Note
A maintenance release correcting CMA-ES, DE variants, PSO, evolution strategies, tournament selection, and hypervolume calculation.
01Why Evolution
The Power of Evolution
Evolution is nature's most proven way to create intelligence. EvoX brings that loop to AI: generate many candidates, test them for real, keep what works, and build on it — so capability compounds through experiment instead of hand-tuning.
Create diverse candidates; in later rounds, inherit and vary retained solutions.
02Applications
Evolution Across AI Paradigms
From models to agents, robots, and scientific discovery — one evolutionary loop, applied wherever intelligence needs to adapt.
02Featured
Generate competing code solutions
Agentic AI
Recursive agents that decompose, build, and evolve entire codebases — from a blank repository to shipped software.
Genesis · Recursive agentic system03
Policies control stride, lift, balance and timing
Physical AI
Evolving robot control policies through massively parallel interaction with simulated environments.
EvoRL · Evolutionary reinforcement learning04
Propose airfoils with different camber and thickness
AI for Science
Data-driven black-box optimization for scientific and engineering design, validated on supercritical airfoils.
EvoGO · Supercritical airfoil design03Hardware
Computing Without Boundaries
Turn batches of complex tasks into tensor computation.
01Batched complex tasks
02EvoX · Tensorization
03Heterogeneous computing
CPUGPUAccelerator
- NVIDIA GPUSupported
- AMD GPUSupported via ROCm
- VulkanSupported via EvoX Compiler
- Apple SiliconSupported via MPS
- Huawei AscendProject-level validation
- CPUSupported
- DistributedExperimental