Kineticore

Digital twins for industrial equipment optimization and maintenance

Industrial Technologies
Private
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Company Overview

Snapshot

Founded in January 2026 by Dima Novikov, Kineticore operates with 1–10 employees. The company is currently in the Pre-Funding stage, focusing on developing its core technology.

Business overview

Kineticore specializes in providing ready-to-use digital twins for industrial equipment, aiming to optimize asset performance, detect faults, and estimate remaining useful life. Its platform combines hybrid physics and machine learning models, validated with real data, which can be adapted to specific customer equipment and site data. The API-enabled, containerized solution is deployable on-premises or in the cloud. Kineticore targets industrial sectors such as chemical, steel, power and energy, and oil and gas, offering outputs like efficiency optimization, anomaly alerts, fault detection, diagnosis, and remaining useful life estimation.

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Company Intelligence Q&A

What is Kineticore's primary focus?
Kineticore specializes in providing digital twins for industrial equipment, aiming to optimize asset performance, detect faults, and estimate remaining useful life.
Who founded Kineticore?
Kineticore was founded by Dima Novikov in January 2026.
What technology does Kineticore utilize in its digital twins?
Kineticore's digital twins combine hybrid physics and machine learning, validated with real data, to provide adaptable models for specific equipment and site data.
Which industries does Kineticore serve?
Kineticore's digital twin library targets industrial sectors including chemical, steel, power and energy, and oil and gas.
What are the deployment options for Kineticore's platform?
Kineticore's platform is API-enabled, containerized, and can be deployed either on-premises or in the cloud.
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