learning models in order to generate predictions & make smarter decisions. Unfortunately, the demand for data scientist exceeds the supply. According to McKinsey research, there will be a shortage of 1.25 million data scientists by 2024. Quality data scientists are hard to find and expensive to employ as a single quality data scientist costs about $117,000 per year according to Glassdoor research. The data scientist has to then spend 45% of their time on model building that we believe is a very repetitive & time consuming process. On top of that, organizations that are thinking about building an in-house solution require more than 3.5 million RMB in investment & usually more than 6 months of development.

That is why we’re building mltrons, which is predictive analytics in 5 clicks. We’re are enabling organizations to build and leverage advanced machine learning & deep learning algorithms without ever writing a single line of code or worrying about investing in infrastructure. The users just need to prepare the data and upload it into the application after which they need to tell the system what they want to predict. Then automatically, our AI engine builds the best fit model for their problems and provides them with real-time predictions and insights.

Our AI engine is built on a robust architecture with state of the art algorithms. Our goal is to get companies from raw data to actionable predictions in the fastest way possible. Mltrons Ai engine can be connected to various data sources after which it loads the data, prepares and cleans the data, build hundreds of thousands of combinations of algorithms and then selects the best model for the problem that can be easily deployed in one click, either by using REST API, uploading new data or using our visual prediction. In essence, mltrons is simple yet scalable. But most importantly, mltrons is accurate & intelligent because as more data is fed it, it gets smarter.