Custom Services
We’re on our way to revolutionizing the field of machine learning and data analysis. Whether you're a small startup or a large enterprise, MLJAR is here to support you on your machine learning journey.
BENEFITS
What you get with MLJAR
MLJAR with it's all tools is the right place if you're looking for:
Solid open-source machine
Discover frameworks developed by and for the community, and take the first step towards contributing to open-source projects.
Sharing your notebooks
Without rewriting the Python notebook... make your analysis accessible to even non-technical.
Automate your work
Save your time by using our tools, e.g., automate the process of building a machine learning pipeline or schedule your notebook.
Looking for experts
Utilize our expertise – facing an issue? We can offer you our time.
Machine Learning explained and deployed
Next-generation AutoML with fairness metrics and extensive explanation in the form of automatically generated documentation.
Seeking for innovations
We developed some custom projects using LLM for data analysis.
Our Services
Build Interactive Dashboard or Web App
Emphasize the most important metrics and data to track in your business as an interactive dashboard app.
Implement AutoML
Don’t stay behind. Machine Learning is becoming more and more popular. We help to implement AutoML MLJAR into organizations.
Create a data science tool
Need a special tool seized to your needs? Our experience allows us to create a dedicated tool that works with your data perfectly.
We support almost all Python libraries
As Python is our main language we fluently navigate with the variety of Python libraries dedicated to machine learning or visualization.
Experiecnce in building data tools
By using machine learning technologies and LLMs, we create data-powered new tools that make data scientists work more effectively.
More than 17 years of experience
We have been implementing scientific research and industry projects for 17 years.
Testimonials
Data scientists love us ❤️❤️❤️
Kuanmy
Software Developer"After changing to use Mercury framework, I get to simplify my code a lot without having to deal with the widget listeners and layout"
Hugo Santos Silva
Lead Data Engineer"Mercury seems to be very interesting. Just had a try today and was able to fire up a GUI within 10 minutes that would have taken me at least 2h using Panel. Really nice thing."
Joshua Jäger
Data Scientist"I just, wanted to thank you for this amazing AutoML package and tool! I am currently putting together a package that builds on MLJAR and tweaks it specifically for use with data typically available in the field of clinical psychology."
Katarzyna-Anna Bensch
Data Analyst"Mercury provides useful widgets so my apps are interactive, but with desired limits set since users can not edit the code. The layout provided by Mercury framework makes anyone feel comfortable because of its clean and flawless look. Knowing this framework made my collaborations much more efficient. "
Vivek Sinha
Chief Operating Officer"I just looked at the mljar-supervised package. It's really thorough and much more in depth than other AutoML solutions I have used in the past. The compete param is also pretty awesome! Love it. Congratulations on the great work! Not surprised it is getting rapid adoption."
Isa Watanabe
Senior Software Engineer"Overall I have to say I'm really impressed. In my role, I have to churn out hundreds of 'good enough' models just to get the funding to pursue more in-depth modeling. This cuts my time down from 2 weeks to 10 minutes. And honestly, with the performance of MLJAR, good enough is an understatement. I'm getting better performance than what I experienced using AutoGluon, DataRobot, and H2o.ai on just about all of the datasets I use on Kaggle."