# Datarythmics - **Website:** - **Primary alias:** `datarythmics.com` - **Employees:** 2+ - **Location:** Moscow, Moscow, Russia - **Company kind:** PRIVATELY HELD ## Description Datarythmics is a machine learning service company that specializes in data-driven operational efficiency. Using equipment telemetry and state-of-the-art predictive deep learning models, they help reduce waste, equipment failures, and increase raw material utilization. They offer a range of products and services for industries such as chemicals, oil and gas, metals and mining, and pulp and paper. Their flagship product, effimly, is a cloud system for process manufacturing forecasting. It includes an extensive library of deep learning models that can be quickly rolled out using historical data provided by the user. Effimly offers interpretability by estimating the impact of input factors on the forecast, both quantitatively and qualitatively. Fast deployment is made possible with secure online data transfer and an easy setup using the effimly SDK. The subscription model ensures that users only pay for what is actually used, with the fee scaling based on the number of input data streams and data frequency. Datarythmics also offers custom services such as root cause analysis, GIS data analysis for mining and forestry industries, and consulting and training for data-driven projects. Their goal is to provide actionable insights and improve equipment performance through data analysis. To learn more about Datarythmics and their services, you can request a demo or contact their team. ## Industries - 🖥 Computers Electronics and Technology _(under Computers Electronics and Technology)_ - 🖥 Computers Electronics and Technology ## Logos & icons - logo _(primary)_ — PNG, SVG — [download](https://cdn.brandfetch.io/idt_GWAay-/w/820/h/109/theme/light/logo.png?c=1bxid64Mup7aczewSAYMX&t=1772363416610) ## Colors | Name | Hex | Theme | | --- | --- | --- | | Red Berry | #990000 | accent | | Elephant | #0c2339 | dark | | My Pink | #d49c85 | light | --- _Source: _ _See [/llms.txt](/llms.txt) for a full list of agent-readable pages, and [/auth.md](/auth.md) for how agents authenticate._