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a-Gnostics is Machine Learning and AI company that specialized in implementation of Data Science projects into Production. The main product is Di-agnostics.

Di-agnostics – Industrial AI sound analytics SaaS for prediction of failures in heat engines and electrical motors, to help enterprises simplify their work and reduce maintenance costs.

Di-agnostics is Shazam for industrial equipment: the best enterprise app for sound analytics. It is a service for industrial equipment failure prediction and anomaly detection. It uses Machine Learning and Artificial Intelligence to predict failures before they happen. The current focus is on sound analytics of heat engines and electrical motors.

a-Gnostics.ECF is a service to develop precise energy consumption forecasts in a span of one day. It is the most innovative software service at the Ukrainian tech market that uses Machine Learning and Artificial Intelligence to forecast electricity consumption.

The main advantages are: 1) Accuracy up to 99% in the day-ahead market; 2) Millions of USD of savings on electricity price; 3) Dozens of manufacturing plants and enterprises implemented it into production.

a-Gnostics.FP is a failure prediction service for timeseries data retrieved from industrial equipment to automatically indicate normal, failure, and prefailure status. The main advantage is ability to predict prefailure state up to 3 days before the failure.

The main customers are on Agritech and Energy sectors.

Graduated from Energy Accelerator in 2018, a-Gnostics became a finalist of Bind 4.0 competition in San Sebastián, 2017, and introduced its first failure prediction model during the Spark Summit in Brussels, 2016.

a-Gnostics is Industry 4.0 subsidiary of custom software development outsourcing company, SoftElegance, that was founded in Kyiv, Ukraine in 1993, and specialized in providing reliable services for implementation of SaaS systems, sophisticated business solutions, engineering applications, and business processes automation software for the U.S. companies, ranging from dynamic small and medium to Fortune 500.

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