Neural Designer

Overview

Neural Designer is a visual platform for building, training, and deploying neural-network models. It is best suited to people who need several neural-network task types and ways to export models; its English-only interface and row caps on some plans narrow its fit.

Its no-code workflow and range of deployment options are useful strengths, but plan choice matters: the Standard tier caps data at 100,000 rows, while Research and Teaching allow unlimited rows.

Key features

Modeling and data

The platform supports approximation, classification, forecasting, anomaly detection, image classification, and text classification. Model evaluation, automated machine learning, and time-series modeling are also supported, with batch and real-time deployment modes and API access. This breadth makes it relevant to users with varied neural-network workflows, though it is not a general-purpose promise of compatibility with every modeling task.

Users can build and train networks through a visual, no-code interface, and load CSV, DAT, TXT, Excel, and OpenOffice files. These options suit teams working with supported files who want to avoid coding the modeling steps; users relying on other data formats may need another route.

Interpretation, performance, and export

Visualizations for model input importance, sample input importance, and model exploration give users ways to inspect model behavior. Neural Designer uses a C++ implementation, multicore CPU parallelization, and NVIDIA GPU acceleration through CUDA, cuBLAS, and cuDNN, a useful combination for users seeking parallel and GPU processing.

Models can be exported to C, Python, JavaScript, and PHP, and portable deployment packages are available for image and text classification. The software can run on AWS. A Python export can also be integrated into Microsoft Power BI using Python visuals, which offers a route for teams working in that environment.

Support and privacy

Premium technical support is offered by email, phone, or video call, alongside tutorials, guides, FAQs, and examples. Artelnics says personal data is processed under the EU GDPR and that it guarantees confidentiality, integrity, and security of personal data. The interface is available only in English, a practical drawback for users who need another language.

Pricing

Neural Designer has a free plan and no free trial. The listed paid plans are priced in USD per year, despite a separate starting-price note of $300/user/mo; that discrepancy makes it important to confirm the applicable commercial terms before purchase.

• Standard — 2.50 USD per year per user: Supports Windows, macOS, and Linux, multicore parallelization, NVIDIA CUDA GPU, and standard support, but limits data to 100,000 rows. It suits users whose datasets fit that cap.
• Research — 2.50 USD per year per user: Includes the same listed platform, processing, and support features, with unlimited data rows. It is the more suitable choice when the Standard row ceiling is too restrictive.
• Teaching — 5.00 USD per year per module: Includes unlimited rows, the same listed platform support, multicore parallelization, NVIDIA CUDA GPU, and standard support. Its per-module pricing is tailored to teaching use rather than a per-user purchase.
• Campus — custom pricing: Pricing depends on institution size. It includes 100,000 data rows, the three desktop platforms, multicore parallelization, NVIDIA CUDA GPU, and standard support.

The paid plan entries specify standard support, while premium technical support is also offered; no plan-specific premium support terms are stated. The company presents use cases in engineering and technology, natural and life sciences, medicine and health sciences, and business and economic sciences.

Platforms

Neural Designer runs on Linux, macOS, and Windows, and can also run on AWS. Desktop platform support appears across the listed plans, making it a fit for users in those operating-system environments.

Who it's for

Neural Designer is a strong candidate for practitioners and organizations that want a visual workflow spanning tasks such as forecasting, classification, or anomaly detection, and value model export or deployment flexibility. Research users needing unlimited rows may prefer the Research plan, while teaching users may find the per-module Teaching tier more aligned with their use. It is less suitable for users who need a non-English interface or who cannot work within the available input formats.

Pros and cons

• Pros: Supports a broad set of neural-network applications, including forecasting, anomaly detection, and image and text classification, so one platform can cover varied tasks.
• Pros: Exports to four programming languages and provides portable image- and text-classification packages, giving users several deployment paths.
• Pros: Offers input-importance and model-exploration visualizations, which help users examine model behavior.
• Cons: Standard and Campus cap data at 100,000 rows, so larger datasets call for a different plan.
• Cons: The interface is English-only, which limits its suitability for users who need localized software.
• Cons: The listed yearly plan prices conflict with the separate $300/user/mo starting-price note, so buyers should verify the price that applies to them.

Alternatives

Consider AutoGluon if a free, open-source Python library under the Apache 2.0 license is preferable to a visual neural-network platform.

FLAML is a free option for users looking for an alternative with API access.

KNIME Analytics Platform is a free, open-source choice for users who prefer that licensing model.

Orange Data Mining is another free software option; its GNU GPL 3.0-or-later license is relevant to users choosing by license.

Weka is a free alternative, with stable and development versions for users choosing between release tracks.

BigML may suit users seeking a freemium service with a free plan and free trial; its free tier allows 16 MB per task, two parallel tasks, and one user.

ZebraDesigner is an alternative with a free Essentials plan for basic barcode label and tag design and printing on supported Zebra printers.

EMBERS is another free option for Linux users.

Browse the Predictive Analytics Software category for more options.

Verdict

Choose Neural Designer if you want visual neural-network workflows across multiple task types, with explainability visualizations and several export and deployment routes. Look elsewhere if an English-only interface, the 100,000-row limits on Standard or Campus, or unclear applicable pricing terms do not fit your needs.