ELINAPULSE (Class 9)
#7995112
Application Number:7995112
Status:
Ready for Examination
Class:9
Applicant: AMPEREHOUR SOLAR TECHNOLOGY PRIVATE LIMITED
Filing Date:Mon, 14 Sep 2026
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Trademark Information
| Trademark | ELINAPULSE |
| Trademark Type | Wordmark |
| Class | 9 |
| Application Number | 7995112 |
| Nature/Scope of business | [CLASS : 9] Software Cloud based application for predicting electricity prices using machine learning; software for planning and optimising battery charging and discharging operations; for preparing and managing electricity market bids; for tracking and analysing battery performance, state of charge, and delivery compliance; for displaying dashboards and analytics relating to electricity prices, trades, profitability, and battery utilisation; software for deployment on customer servers for energy trading and battery management; recorded computer programs for energy market analytics. |
| Status | Ready for Examination |
| Applicant: | AMPEREHOUR SOLAR TECHNOLOGY PRIVATE LIMITED |
| Applicant Address | FLAT NO. 403, EKAIKA, SR.NO. 41, HISSA NO. 2A/2 ,NE, PUNE, Pune, Maharashtra, India, 411014 |
| Jurisdiction | MUMBAI |
| Agent | NIYATI DAVAWALA[18046] |
| Agent Address | 62, Tardeo Court, 251 Javji Dadaji Marg, Near Bhatia Hospital, Tardeo, Mumbai 400 007 |
Frequently Asked Questions
What is the status of trademark ELINAPULSE? ▾
The trademark application number 7995112 is currently marked as "Ready for Examination" in the official trademark registry.
Who is the owner of trademark ELINAPULSE? ▾
The trademark application number 7995112 is owned by AMPEREHOUR SOLAR TECHNOLOGY PRIVATE LIMITED.
Which class does trademark ELINAPULSE belong to? ▾
Trademark application number 7995112 is filed under Class 9, which relates to the specified goods and services.
Who is the trademark agent for application 7995112? ▾
The trademark agent associated with application number 7995112 is NIYATI DAVAWALA[18046].
What is trademark ELINAPULSE? ▾
Trademark application number 7995112 relates to "[CLASS : 9] Software Cloud based application for predicting electricity prices using machine learning; software for planning and optimising battery charging and discharging operations; for preparing and managing electricity market bids; for tracking and analysing battery performance, state of charge, and delivery compliance; for displaying dashboards and analytics relating to electricity prices, trades, profitability, and battery utilisation; software for deployment on customer servers for energy trading and battery management; recorded computer programs for energy market analytics.".
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