New 2026 version available

Build Neural Networks
Without Writing Code

NeuralLead Maker is the revolutionary visual editor for creating, training and exporting AI models with drag & drop. From idea to deployment in minutes, not weeks.

Download NeuralLead Maker now while all plugins are free before it returns to the original price
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Ecosystem

Three Products, One Platform

NeuralLead offers a complete ecosystem: from the high-performance C++ engine to the Python framework and visual editor.

Engine

NeuralLead Core

The high-performance engine for distributed neural network simulation with GPU acceleration (CUDA). Supports biological and artificial neurons, advanced synaptic connections and real-time learning.

CUDA Accelerated Vulkan Accelerated MCU Embedded
Bio-Neurons
Framework

NeuralLead Framework

The Python/PyTorch framework for creating and managing advanced neural networks. Integrated web server, real-time monitoring, multi-network support and Windows service installation.

PyTorch Web Server
Visual Editor

NeuralLead Maker

The desktop app with visual block editor for building neural networks without writing code. Drag-and-drop, integrated AI assistant, multi-platform export and plugin system.

No-Code AI Assistant
How It Works

From zero to AI in 4 simple steps

No need to be a expert. NeuralLead Maker makes artificial intelligence accessible to everyone.

1

Create the Project

Start a new project with the guided procedure. Choose name, path and initial template.

2

Build the Network

Drag groups of neurons, create connections and configure parameters from the visual editor.

3

Train the Model

Load the dataset, start the simulation and monitor loss and accuracy in real time.

4

Export and Deploy

Generate executables for any platform and deploy your AI model.

Watch NeuralLead Maker in action


NeuralLead Maker - New Project
HIERARCHY
Main Network
Input Layer
Hidden Layer
Hidden Layer
Output Layer
Input Layer
Hidden Layer
Hidden Layer
Output Layer
PROPERTIES
GPU Computing

GPU Power
without compromises

With native CUDA, Vulkan and Apple Metal support, your projects run locally on millions of GPU cores for simulations that previously took hours.

Native GPU and NPU acceleration - Parallel execution on NVIDIA cards

Multi-thread CPU - Automatic resource optimization

Millions of neurons - Scalability without practical limits

Automatic management - GPU memory is managed for you

Synapses

Connections that
mimic the brain

Many types of synaptic connections with configurable parameters for weight, delay, receptor, radius and probability.

Full - Every neuron connected to all in the next group

OneToOne - Each neuron in the previous group is connected to the corresponding neuron in the next group

Conv2D / Pool - Local connections with repeated patterns for images

Random - Random connections with configurable probability

Gaussian - Distance-based strength: strong nearby, weak far away

To Attention - Targeted connections for attention mechanisms

To Right / To Left - Connections to neurons in the next group, in 3D space to neurons on the right or left

Many more - Get creative with custom connections or combine existing ones to create sophisticated neural structures

Simplicity

Powerful and easy to use

Few lines of code to create complex neural networks. A clean and intuitive API that lets you focus on innovation.

Clear API - Create networks in few lines

Complete documentation - Guides and ready examples

Included plugins - Extend with generators and monitors

my_network.py
# Script generated with NeuralLead Maker 2026 import torch import torch.nn as nn class MyCustomLayer(torch.nn.Module): def __init__(self, device, groupName, grid, dropOut): ''' Insert your costructor code ''' super().__init__() print(f'Creating group {groupName}...') total = grid[0]*grid[1]*grid[2] self.l = nn.Linear(total, total) def forward(self, x): ''' Insert your every step logic ''' return self.l(x)
NeuralLead Maker - Editor
Hierarchy
Input Layer
Hidden Layer 1
Hidden Layer 2
Conv Block
Attention
Output Layer
Connections
Input → Hidden 1
Hidden 1 → Hidden 2
Hidden 2 → Output
Properties
NameHidden Layer 1
TypeDense
Neurons256
ActivationReLU
Dropout0.3
Biastrue
Weights65,792
Simulation
Epoch47/100
Loss0.0034
Accuracy98.7%
Time2m 14s
Visual Editor

An interface designed
for productivity

The 4-panel editor integrates everything you need: project hierarchy, interactive canvas for the neural network, element properties and system logs.

  • Drag & drop to add and connect layers
  • Properties panel for detailed configuration
  • Real-time statistics and charts
  • Detailed logs for debugging and diagnostics
  • Keyboard shortcuts for fast workflow
FAQ

Frequently Asked Questions

Is NeuralLead Maker really free? +
Yes! The Free plan includes the complete visual editor, plugins, simulation, dataset manager and export for all platforms.
Do I need to know how to code to use it? +
Absolutely not. NeuralLead Maker is designed to be used without writing a line of code. The drag-and-drop interface and AI assistant guide you through every step.
Which operating systems are supported? +
NeuralLead Maker works on Windows, Linux and macOS. It supports x86-64 and ARM64 architectures (including Apple Silicon). The app automatically adapts to different resolutions.
Can I use my own data to train the models? +
Of course! You can import any dataset: images, text, audio, time series. The integrated Dataset Manager lets you view, filter and manage data directly in the app.
How does the AI assistant work? +
It analyzes in real time the structure of your network, data and training metrics. You can interact via text or voice chat, and choose among different AI models (GPT-4, Claude, etc.). It can also automatically apply suggested optimizations.
Start Today
Download NeuralLead Maker now while all plugins are free before it returns to the original price
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Ready to build your
first AI?

Download NeuralLead Maker for free and join thousands of users who are already creating the future of artificial intelligence.