Kineticore
Digital twins for industrial equipment optimization and maintenance
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 for industrial equipment optimization.
Business overview
Kineticore develops ready-to-use digital twins for industrial equipment, leveraging hybrid physics and machine learning models to optimize asset performance, detect faults, and estimate remaining useful life. The platform is API-enabled, containerized, and deployable on-premises or in the cloud. Kineticore targets industrial sectors such as chemical, steel, power and energy, and oil and gas, providing solutions for efficiency optimization, anomaly alerts, fault detection, and diagnosis.
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- 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.