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    3. MLJAR

    MLJAR

    MLJAR makes data science accessible, transparent, and efficient by providing tools that focus on insights rather than infrastructure.

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    At a Glance

    1Tool Listed
    3Products
    6Capabilities
    Discussions
    Łapy, PolandHeadquarters
    2016Est.
    7Employees
    Focus Areas
    AI Coding Assistants
    Business Intelligence
    Data Processing
    Connect
    Latest News
    MLJAR Studio 1.0.3 Release focusing on reliability and flow qualityJan 1, 2024
    New version of Mercury (3.0.0) - framework for sharing discoveriesJan 1, 2024
    Markets
    • Data Scientists
    • Data Analysts
    • Machine Learning Engineers
    • Research Institutions
    • +1 more

    AI Tools by MLJAR

    (1)
    View MLJAR Studio
    MLJAR Studio tool icon

    MLJAR Studio

    Local AI Data Analysis App

    AI Coding Asst.Business IntelData Processing

    Discussions

    No discussions yet

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    Latest News

    01/01/2024

    MLJAR Studio 1.0.3 Release focusing on reliability and flow quality

    mljar.com
    01/01/2024

    New version of Mercury (3.0.0) - framework for sharing discoveries

    mljar.com
    01/01/2024

    Structured AutoML reports introduced in mljar-supervised 1.2.2

    mljar.com
    01/01/2024

    Release of AI Data Analysis Software for Pharmaceutical Research

    mljar.com

    Products & Services

    3
    MLJAR Studio
    2024 (major version)

    A private AI data lab desktop application for exploring data, running ML experiments, and building analysis tools locally.

    mljar-supervised
    circa 2018

    An open-source Python package for Automated Machine Learning (AutoML) that handles tabular data, feature engineering, and provides detailed documentation.

    Mercury
    2022

    An open-source framework to turn Python notebooks into interactive web apps, reports, and dashboards.

    Market Position

    MLJAR positions itself as a transparent, 'no-black-box' alternative to complex ML platforms, offering local execution and one-time pricing compared to SaaS-only cloud tools.

    Leadership

    Founders

    PP

    Piotr Płoński

    Founder of MLJAR. PhD student at University of Warsaw (Physics background). Experienced in Machine Learning and Data Science. Passionate about automating ML documentation.

    AP

    Aleksandra Płońska

    Co-founder and Executive Director at MLJAR, Inc. Background in Business Management and Graphic Design.

    Executive Team

    PP

    Piotr Płoński

    CEO & Founder

    Expert in machine learning and data science automation.

    AP

    Aleksandra Płońska

    Executive Director

    Focus on business management and operations.

    Founding Story

    Started with the goal of making machine learning easier for humans, specifically by building an AutoML framework that avoids 'black box' models and provides automatic documentation.

    Business Model

    Revenue
    $747.9K reported for 2024.

    Revenue Model

    Perpetual licensing for desktop software and subscription-based AI add-ons. Bootstrapped growth.

    Pricing Tiers

    Free Tier
    Free

    Likely available as a trial or basic version of open-source tools.

    MLJAR Studio Perpetual License
    $199

    Buy once and use forever. Includes 1 year of updates.

    MLJAR AI Add-on
    $49/month

    Optional AI subscription for enhanced features in the studio.

    Privately Held

    Target Markets

    Industries & Segments
    • Data Scientists
    • Data Analysts
    • Machine Learning Engineers
    • Research Institutions
    • Pharmaceutical Companies
    Use Cases
    • Rapid prototyping of ML models
    • Data exploration and visualization
    • Automated predictive modeling for tabular data
    • Interactive reporting for pharmaceutical research
    Notable Customers
    • Pharmaceutical researchers
    • Kaggle community members

    Quick Facts

    Headquarters
    Łapy, Poland
    Founded
    2016
    Entity Type
    Inc.
    Employees
    7
    Total Funding
    Bootstrapped
    Office Locations
    Łapy

    History & Milestones

    2024

    Reached annual revenue of approximately $747,900 with a bootstrapped team of 7.

    2024

    Launch and promotion of MLJAR Studio as a private AI Data Lab for desktop.

    2021

    mljar-supervised (AutoML) widely cited in scientific research for its transparency and performance.

    2016

    MLJAR, Inc. was founded.

    Key Capabilities

    6
    Automated Machine Learning (AutoML)
    Conversational Notebooks
    Local and Private Data Processing
    Automatic Documentation for Models
    Feature Engineering and Hyperparameter Tuning
    Notebook-to-Webapp Conversion (Mercury)

    Integrations & Partnerships

    Platform Integrations

    • Python
    • Jupyter Notebooks
    • Microsoft SQL Server
    • Snowflake
    • Databricks

    Connect

    Website
    mljar.com
    GitHub
    mljar
    X / Twitter
    MLJARofficial
    LinkedIn
    mljar-inc.
    Facebook
    MLJARofficial

    AI Topics

    3

    MLJAR focuses on these topics:

    AI Coding Assistants(1)
    Business Intelligence(1)
    Data Processing(1)
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