Platform Features

Inside MLVisor

Two ways to work, one autonomous engine — from raw data to a deployed model, powered by VisorEngine.

Full automation or full control

Write one sentence and let the engine build everything, or manage every parameter yourself. Both modes run on the same VisorEngine core.

Manual Mode

Users perform step-by-step data analysis and modeling using the platform's tools and controls with precision and full control.

Granular Step Controller

Agent Mode

Users give natural-language instructions to the system to automate workflows. The system automatically selects appropriate algorithms and constructs models.

Natural Language Compiler

Learnable & Explainable

Monitor parameter changes in real time, explore mathematical foundations interactively, and follow the learning process through visual animations.

Dynamic Mathematical Dials

How It Works

From raw data to actionable insights in 4 simple steps

1

Connect Data

Upload your files or connect directly to your databases and APIs securely.

2

Smart Analysis

Our AI engine automatically cleans, processes and analyzes your data for patterns.

3

Visualize

Convert complex results into beautiful, interactive and easy-to-understand charts.

4

Share Results

Export reports or share dashboards with your team and stakeholders instantly.

Data Visualization

Bring your data to life with powerful and interactive charts

20+ Chart Types

Display your data most effectively with a wide range of charts from line graphs to heat maps, scatter plots to 3D charts.

  • Line and Area Charts
  • Bar and Column Charts
  • Pie and Donut Charts
  • Heat Maps
  • 3D Visualizations
  • Waypoints Diagrams
Data Visualization

Machine Learning

Predict the future with AI-powered analysis tools

AutoML

Create machine learning models without coding. Our system selects and optimizes the most suitable algorithm for you.

Zero Code Needed

Prediction Models

Powerful regression and time series analysis tools to predict future trends and values.

Regression & Series

Clustering Analysis

Group your data into meaningful clusters with K-means, hierarchical clustering and DBSCAN algorithms.

K-Means, DBSCAN

Data Processing

Clean, transform and prepare your data

Data Processing

Smart Data Cleaning

Automatically detect and fill missing values. Identify outliers and normalize data.

  • Automatic Data Cleaning
  • Advanced Filtering
  • Data Transformation
  • Normalization
  • Pivot Tables
  • Data Merging

Collaboration and Sharing

Work with your team and share your results

Team Work

Share projects with your team, add comments and work together in real-time.

Real-Time Sync

Easy Sharing

Share your analyses and visualizations with one click. Export in PDF, PNG, Excel formats.

PDF, PNG & Excel exports

Presentation Mode

Display your analysis results in professional presentations. Create interactive dashboards.

Interactive Dashboards

Integrations

Seamless integration with your existing workflow

Multiple Data Source Support

Connect to any data source from databases to Excel files, from APIs to cloud services.

  • SQL Databases
  • Excel and CSV Files
  • Google Sheets, Dropbox
  • REST APIs
  • MongoDB, Elasticsearch
  • Google Analytics, Salesforce
ML

Advanced AI Models

Discover the intelligence behind MLVisor's predictions

AI Deep Learning Models

Discover Deep Learning

Learn more about the models running on our platform. Understand how our advanced AI algorithms process complex datasets to deliver precise, actionable insights.

  • State-of-the-Art Architecture
  • Neural Waypoints Insights
  • Optimized Performance
  • High Accuracy Tracking

Where your data runs

MLVisor is deployed into your environment. These three things follow from that, and they are the reason the architecture was built this way.

No external model in the loop

VisorEngine is our own inference engine. It does not wrap someone else's LLM and makes no calls to a third-party inference API.

Runs where your data lives

Your own hardware, your private cloud, or an isolated network. Datasets stay in your storage and processing happens on your compute.

You own the model weights

Trained models are produced inside your deployment and stay there. They do not leave your cluster without your explicit consent.

Read the full security page

Get Started Now

Start exploring MLVisor's powerful features