POLYMATICA

POLYMATICA ML

Machine Learning for Everyone: Democratizing AI

MACHINE LEARNING AS A PART OF MODERN LIFE DNA

Advanced solution for any business, where you can create zero-coding models and centrally manage them, controlling all stages of the life cycle so the models are always up-to-date and growth-hacking.

WHY POLYMATICA ML

Fast modeling and hypothesis testing

Built-in quality monitoring of models

Easy implementation of models into business processes

Reuse models with a click

One repository for all machine learning models in the company

Open platform

POLYMATICA ML MODULES

DATA DISCOVERY

Explore data before building models: identify patterns and anomalies, test hypotheses, and select variables with visualization tools, profiling, correlation matrices and cluster analysis.

MODEL DESIGNER

Visual designer for building models, including nodes for processing datasets, choosing algorithms, interpreting their work and assessing quality. Comparing the models will help you choose the best ones for future use.

MODEL MANAGER

Models are managed through a single repository that lets you publish, implement, monitor quality, and retrain machine learning models to keep them up to date

EASY TO CREATE MODELS AND CHECK HYPOTHESES

Models in Polymatica ML are created from ready-made elements, so the user can quickly test various hypotheses, compare the resulting models and quickly select and implement a champion model. Thanks to this approach, the transfer of models to industrial operation occurs in a matter of minutes instead of months. The platform helps business, analysts and IT department cooperate effectively to get a better result.

ALL ML MODELS IN ONE REPOSITORY

The Polymatica ML repository is designed become a centralized repository of both machine learning and physics and mathematics models thanks to the ability to import them from various environments, primarily Python. The repository can host models built on both structured and unstructured data. Providing all the necessary functionality to apply the ModelOps approach, the common repository allows you to organize transparent work with models in such a way that they bring maximum business value.

POLYMATICA ECOSYSTEM

Polymatica ML is part of the Polymatica Platform and can be combined with Polymatica Analytics and Polymatica Dashboards modules, or separately, depending on the tasks to be solved.

Polymatica Analytics is a tool to explore data in pivot tables, including big data in near real time. Polymatica Dashboards helps to visualize metrics to monitor business processes and results for data-driven solutions.

USE CASES

Public Sector

Improving the execution of control and supervisory functions
Modeling risks and predicting the consequences of decisions
made

Healthcare

Diagnosis of diseases
Identification of patients / patient groups at high risk of disease

Utilities

Equipment digital twins
Dealing with accounts receivable

Manufacturing

Predicting equipment breakdowns
Product quality control
Identification of anomalies in technological processes
Optimization of the processes of recruiting, training and loading personnel

Finance

Improving the efficiency of determining the creditworthiness
of clients
Preventing fraudulent financial transactions
Customer loyalty improvement

PROOF OF CONCEPT

We propose to launch a proof of concept (POC) project to confirm the effectiveness of using a unified full-cycle machine learning platform and to obtain additional business benefits through the use of modern AI technologies.