Deep LSTM Neural Network
Advanced LSTM-based models for analyzing time sequences and identifying complex patterns in your data.
Train on historical data, capture seasonality and trends, and get practical forecasts for demand, sales, traffic and other key metrics. Create an account when you are ready to download the product and manage access.
Work with structured data, detect patterns, compare predicted and actual values, and move from analysis to planning. Sign up when you are ready to download.
All tools needed for accurate time series forecasting
Advanced LSTM-based models for analyzing time sequences and identifying complex patterns in your data.
Automatic recognition of seasonal patterns, cyclical changes, weekly and monthly trends in your data.
Intelligent data preprocessing, handling missing values, normalization and feature creation from your Excel files.
GPU support for accelerated model training. Train your model in hours, not days.
Forecasting 7, 14, 30 days ahead with high accuracy. All factors and historical data are considered for maximum precision.
Configure all model parameters to your needs: network depth, sequence length, forecast horizon.
Neural network models for forecasting across various industries and applications
Predict demand for goods and services, plan production capacity. Optimize inventory and resources based on accurate forecasts.
Analyze price dynamics, forecast financial indicators and market trends. Make informed decisions on pricing and investments.
Predict peak loads on web services, networks and infrastructure. Plan scaling and optimize resource usage.
Predict quality metrics based on production data. Reduce defects and optimize processes to improve quality.
Predict potential equipment failures before they occur. Plan maintenance and reduce production downtime.
Forecast staffing needs and distribute workload. Optimize schedules and reduce personnel costs.
Simple process from data to forecasts
Upload your Excel files with time series data. The system will automatically process them and determine parameters.
Configure training parameters and start the process. The neural network will learn patterns in your data.
Use the trained model for forecasting. Get accurate predictions to optimize business processes and make decisions.
Real performance metrics and visualizations from our trained models
Model loss and accuracy over epochs
Scaled comparison of error metrics
Key indicators of model quality
Detailed evaluation of model quality
The site now pushes one action: create an account, enter your workspace and keep access, plans and product resources in one place.
After registration
Instead of a public download button and a contact form, the new flow gives one obvious path: create an account, review subscription state, unlock access and keep product delivery under control.
Create the account once and enter the same workspace every time you need product access.
Status, expiry, model limits and feature breakdown are visible without guessing or asking support.
Downloads, product updates and future resources live behind the account experience, not in a public landing block.
Registration is now the starting point: one account, one workspace, one clear place for access, subscriptions and the next product actions.