No-Code Model Builder: Drag & Drop nodes
Build, train, and deploy AI models without coding. Integrate SK-Learn, automate data cleaning, and scale workflows offline—ideal for healthcare, finance, and enterprise teams.
Build your model with a no code approach
CSV Data Support
CSV Data Support ensures seamless data integration with full compatibility for CSV file formats. Easily import, export, and manage data in this widely recognized standard, streamlining workflows and boosting productivity. Ideal for businesses and developers, CSV Data Support simplifies data processing and analysis for efficient, reliable decision-making.
Use Case
Build AI with Drag & Drop Simplicity
Our no-code Model Builder simplifies the pipeline creation process with an intuitive drag-and-drop interface, eliminating the need for coding expertise. Designed for both beginners and professionals, it allows you to effortlessly build, customize and deploy machine learning models by simply dragging pre-built nodes into your workspace. This user-friendly approach streamlines workflow, accelerates development, and maximizes productivity, making it the perfect solution for rapid prototyping and efficient ML solution building.
CSV Data Support
CSV Data Support ensures seamless data integration with full compatibility for CSV file formats. Easily import, export, and manage data in this widely recognized standard, streamlining workflows and boosting productivity. Ideal for businesses and developers, CSV Data Support simplifies data processing and analysis for efficient, reliable decision-making.
Smart Connection Management
Smart Connection Management optimizes connectivity by ensuring error-free connections. If you attempt to connect to the wrong pipeline, an instant error notification prevents misconfigurations. It also supports multiple simultaneous connections to different nodes, enhancing flexibility and performance.
Parameter Customization
Parameter Customization empowers you to tailor every parameter across diverse nodes, including support vector classifiers, regressors and k-means clustering. This flexibility lets you fine-tune machine learning models for optimal performance and scalability. Easily adjust parameters to meet unique business needs while enhancing accuracy and efficiency—making your system adaptable to evolving data and driving better results.
Auto Pre-Processing and Exploratory Data Analysis (EDA)
Our Auto Pre-Processing and EDA for CSV Data feature revolutionizes data analysis by automatically cleaning, formatting and preparing your CSV files for analysis. This intelligent system detects errors, removes duplicates, handles missing values and normalizes data, ensuring accuracy and saving time.
Pre-Build Templates (coming soon)
Pre-Build Templates (Coming Soon) streamline workflows with ready-to-use, auto-configured templates. A simple tap applies preset configurations, eliminating manual setup and boosting productivity. Enjoy an intuitive experience that drives business growth and automates tasks. Stay tuned for this game-changing solution!
FAQ
All Frequent Questions About No Code Model Builder
To name a few: Defense (predictive maintenance), Oil and gas (Root cause analysis in control rooms), Factory and warehouse (demand forecasting and inventory management) and many more.
Auto Pre-Processing automatically cleans and formats your CSV data by detecting errors, removing duplicates, handling missing values, and normalizing data. This ensures that your dataset is accurate and ready for analysis without manual intervention
Auto Exploratory Data Analysis (Auto EDA) quickly generates insights from your cleaned data. It provides summaries, visualizations, and key metrics that help you understand trends and anomalies, ultimately accelerating decision-making and data-driven strategy development.
Yes! The drag-and-drop interface requires zero coding. Pre-built templates (e.g. churn prediction) and guided tutorials.
Keep an eye on upcoming updates. Refer to our resources for more details. In the meantime, familiarize yourself with your current workflows so that you can quickly adopt these templates to streamline task management and further boost productivity when they become available.