- About us
- Company details
eMomentum is a predictive maintenance company that combines mechanical condition monitoring with advanced studies on how mechanical degradation impacts energy efficiency.
We help industrial companies and infrastructure operators reduce energy waste and CO₂ emissions across their operations by identifying inefficiencies caused by mechanical faults long before failures occur.
Our approach goes beyond traditional predictive maintenance. Mechanical issues such as misalignment, imbalance, or bearing degradation often increase energy consumption significantly while remaining invisible to operators. By detecting these conditions early, we enable targeted interventions that improve reliability, lower operating costs, and reduce environmental impact.
Our solution applies to all electrically motorized machinery including motors, pumps, compressors, fans, conveyors, and any system powered by electric motors across continuous-production industries and critical infrastructure such as water, energy, food & beverage, chemicals, cement, metals, glass, paper, and pulp & paper.
In short, eMomentum turns predictive maintenance into a practical lever for energy efficiency and sustainability, delivering measurable operational and environmental benefits without disrupting existing workflows.
Year of establishment:
2024
Number of employees:
SINGLE USER
Annual turnover:
Under 250.000 Euro
Reference year of turnover:
2024
Export turnover:
Not available
Activities:
Manufacturing nec
Waste collection, recovery and disposal activities
Software publishing
Computer programming activities
- Videos
- Catalogue
eMomentum: Act When It Matters
Pitch Deck
- Contact Information
- Business Proposals
Company:
EMOMENTUM SRL
Web site:
Address:
VIA PORTO CORSINI, 22
City:
MILANO (MI)
Zip Code:
20126
E-commerce:
Tag:
No business proposals uploaded
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eMomentum: predictive maintenance and energy intelligence for electro-motorized machinery
We deploy non-invasive sensors, installable in less than 10 minutes per machine, that measure vibration, temperature, and electrical parameters on electrically motorized machinery. Our proprietary AI models analyze data at scale to identify existing mechanical issues, determine the required maintenance actions, and define their urgency and priority.
Unlike traditional predictive maintenance, we do not focus only on remaining useful life. We also evaluate when it is most convenient to intervene, identifying the optimal maintenance window that maximizes energy efficiency while minimizing energy waste, CO₂ emissions, and unnecessary maintenance activities.
By combining condition monitoring with energy-impact analysis, we help industrial and infrastructure operators reduce energy consumption and emissions across all electrically motorized equipment such as motors, pumps, compressors, fans, and conveyors, without disrupting existing operations.
In practice, eMomentum turns maintenance decisions into ESG-driven, data-based actions, improving reliability, sustainability, and operational efficiency at the same time.
Web site
http://www.emomentum.it