No-code machine learning software
Build, train, validate and deploy neural network models. Load your data and get an explainable predictive model you can trust.
- ✓ Free version with no time limit
- ✓ Up to 1,000 samples and 10 variables
- ✓ Windows, macOS & Linux — runs on your machine, your data stays with you
No code required
Four steps from your data to a working model
Load your data, let Neural Designer build and validate the model for you, and deploy it wherever you need it.
Prepare the data
Load data and define the prediction goal.
Train the model
Let Neural Designer learn from the data.
Validate the results
Check accuracy and generalization.
Deploy the model
Predict, export or integrate wherever needed.
What you can build
One platform for every machine learning problem
Estimate values, forecast trends, classify text and images, or flag unusual samples with a model suited to your data.
Approximation
Model outputs as function of inputs.
Classification
Assign categories to given patterns.
Forecasting
Make predictions about the future.
Text Classification
Assign a category to open-ended text.
Image Classification
Assign categories to given images.
Anomaly Detection
Flag unusual samples by reconstruction error.
Where it is used
Built for your field
Organizations use Neural Designer across scientific, medical, engineering, and business fields to turn data into predictive models and better decisions.
Engineering and Technology
Mechanical, electrical, civil, chemical, industrial, energy, automotive, aerospace, and marine engineering.
Natural and Life Sciences
Physics, chemistry, biology, environment, materials, biotechnology, agriculture, and food science.
Medicine and Health Sciences
Medical diagnosis, public health, drug discovery, and biomedical engineering applications.
Business and Economic Sciences
Finance, insurance, marketing, sales, management, operations, human resources, and economics.
Who uses it
Trusted by industry, government and universities
Organizations, public agencies, and universities use Neural Designer for machine learning projects.
Performance
Bigger models on the same computer
Neural Designer runs on OpenNN, the open-source engine we build. We measure it against PyTorch on the same machine, with the same data and the same models.
Less memory
It used 60% of the memory PyTorch needed — 41% on the processor, 73% on the graphics card — so the same computer fits a bigger model.
Faster
More work per second across every model we measured, and 1.4× on the processor, where most people train.
Less energy
For the same work it drew 17% less at the processor package and 18% less at the graphics board.
Geometric mean of nine paired configurations — dense, recurrent, convolutional and transformer models, training and inference — on an Intel Core i7-14700F with an NVIDIA RTX 5070 Ti, against PyTorch 2.13. Each configuration is the median of three runs. Three further configurations are excluded because the two engines did not run them the same way.
Training and support
You are never on your own
All Neural Designer products include customized training sessions with our experts.
In addition, our customers enjoy technical support to solve any question about machine learning or help in the use of Neural Designer.