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USPTO serial 86166077

SOINN

Reviewed by CopyMark Law Group

Reg. 4797724Status 800Registered
Filing date
Status date
Registration date
Aug 25, 2015
Examiner
BUTTON, JENNIFER JO
Law office
PUBLICATION AND ISSUE SECTION

What this means

Status 800 means the registration was renewed after acceptable combined Section 8 and Section 9 filings. The mark remains registered for another 10-year term with active federal protection. Calendar the next Section 8 and 9 deadline in 10 years and maintain monitoring.

Status 800: Status 800 means the registration was renewed after acceptable combined Section 8 and Section 9 filings. The mark remains registered for another 10-year term with active federal protection.

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If you own this trademark, we can monitor new filings and help with USPTO deadlines. If you do not, we can file a new U.S. application.

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Owner

Attorney of record

The USPTO lists this attorney as the applicant's representative for correspondence on this application.

Paul D. Bianco, PhD

Paul D. Bianco, PhD Fleit Intellectual Property Law21355 East Dixie HighwaySuite 115Miami, FL 33180-1244

Goods and services

ClassDescriptionStatusFirst use
009Computer programs for self-learning artificial intelligence; computer programs for self-learning artificial intelligence using data through communication networks or using measured data; [ computer programs for cellular phones for self-learning artificial intelligence using data through communication networks or using measured data; ] computer programs for smartphones for self-learning artificial intelligence using data through communication networks or using measured data; computer programs for tablet computers for self-learning artificial intelligence using data through communication networks or using measured data; computer programs for wearable computers for self-learning artificial intelligence using data through communication networks or using measured data; computer programs for self-learning artificial intelligence using multimedia data such as an image, a sound, or text by obtaining data through communication networks or obtaining measured data; [ computer programs for cellular phones for self-learning artificial intelligence using multimedia data such as an image, a sound, or text by obtaining data through communication networks or using measured data; ] computer programs for tablet computers for self-learning artificial intelligence using multimedia data such as an image, a sound, or text by obtaining data through communication networks or using measured data; computer programs for wearable computers for self-learning artificial intelligence using multimedia data such as an image, a sound, or text by obtaining data through communication networks or using measured data; computer programs for self-learning artificial intelligence using action data of people such as positional information, a purchasing history, or the communication history by obtaining data through communication networks or obtaining measured data; [ computer programs for cellular phones for self-learning artificial intelligence using action data of people such as positional information, a purchasing history, or the communication history by obtaining data through communication networks or using measured data; ] computer programs for smartphones for self-learning artificial intelligence using action data of people by obtaining data through communication networks or using measured data; computer programs for smartphones for self-learning artificial intelligence using multimedia data such as an image, a sound, or text and action data of people such as positional information, a purchasing history, or the communication history by obtaining data through communication networks or using measured data; computer programs for tablet computers for self-learning artificial intelligence using action data of people such as positional information, a purchasing history, or the communication history by obtaining data through communication networks or using measured data; computer programs for wearable computers for self-learning artificial intelligence using action data of people such as positional information, a purchasing history, or the communication history by obtaining data through communication networks or using measured data; computer programs for self-learning artificial intelligence using market data such as the stock prices, exchange, or sales by obtaining data through communication networks or obtaining measured data; [ computer programs for cellular phones for self-learning artificial intelligence using market data such as the stock prices, exchange, or sales by obtaining data through communication networks or using measured data; ] computer programs for smartphones for self-learning artificial intelligence using market data such as the stock prices, exchange, or sales by obtaining data through communication networks or using measured data; computer programs for tablet computers for self-learning artificial intelligence using market data such as the stock prices, exchange, or sales by obtaining data through communication networks or using measured data; computer programs for wearable computers for self-learning artificial intelligence using market data such as the stock prices, exchange, or sales by obtaining data through communication networks or using measured data; computer programs for self-learning artificial intelligence using natural data such as the weather or the earthquake-wave by obtaining data through communication networks or obtaining measured data; [ computer programs for cellular phones for self-learning artificial intelligence using natural data such as the weather or the earthquake-wave by obtaining data through communication networks or obtaining measured data; ] computer programs for smartphones for self-learning artificial intelligence using natural data such as the weather or the earthquake-wave by obtaining data through communication networks or obtaining measured data; computer programs for tablet computers for self-learning artificial intelligence using natural data such as the weather or the earthquake-wave by obtaining data through communication networks or obtaining measured data; computer programs for wearable computers for self-learning artificial intelligence using natural data such as the weather or the earthquake-wave by obtaining data through communication networks or obtaining measured data; computer programs for self-learning artificial intelligence using control data such as from a car, robot, or wearable-device by obtaining such data through communication networks or obtaining measured data; [ computer programs for cellular phones for self-learning artificial intelligence using control data such as from a car, robot, or wearable-device by obtaining such data through communication networks or obtaining measured data; ] computer programs for smartphones for self-learning artificial intelligence using control data such as from a car, robot, or wearable-device by obtaining such data through communication networks or obtaining measured data; computer programs for tablet computers for self-learning artificial intelligence using control data such as from a car, robot, or wearable-device by obtaining such data through communication networks or obtaining measured data; computer programs for wearable computers for self-learning artificial intelligence using control data such as from a car, robot, or wearable-device by obtaining such data through communication networks or obtaining measured data; computer programs for cars for self-learning artificial intelligence using control data from a car by obtaining such data through communication networks or obtaining measured data; [ computer programs for cellular phones for self-learning artificial intelligence using control data from a car by obtaining such data through communication networks or obtaining measured data; ] computer programs for smartphones for self-learning artificial intelligence using control data from a car by obtaining such data through communication networks or obtaining measured data; computer programs for tablet computers for self-learning artificial intelligence using control data of from a car by obtaining such data through communication networks or obtaining measured data; computer programs for wearable computers for self-learning artificial intelligence using control data from a car by obtaining such data through communication networks or obtaining measured data; computer programs for robots for self-learning artificial intelligence using control data from a robot by obtaining such data through communication networks or obtaining measured data; [ computer programs for cellular phones for self-learning artificial intelligence using control data from a robot by obtaining such data through communication networks or obtaining measured data; ] computer programs for smartphones for self-learning artificial intelligence using control data from a robot by obtaining such data through communication networks or obtaining measured data; computer programs for tablet computers for self-learning artificial intelligence using control data from a robot by obtaining such data through communication networks or obtaining measured data; computer programs for wearable computers for self-learning artificial intelligence using control data from a robot by obtaining such data through communication networks or obtaining measured data; computer programs for wearable computers for self-learning artificial intelligence using control data from a computer of wearable-device by obtaining such data through communication networks or obtaining measured data; [ computer programs for cellular phones for self-learning artificial intelligence using control data from a computer of wearable-device by obtaining such data through communication networks or obtaining measured data; ] computer programs for smartphones for self-learning artificial intelligence using control data from a computer of wearable-device by obtaining such data through communication networks or obtaining measured data; computer programs for tablet computers for self-learning artificial intelligence using control data from a computer of wearable-device by obtaining such data through communication networks or obtaining measured data [ ; computers having self-learning artificial intelligence using data through communication networks or using measured data; cellular phones having self-learning artificial intelligence using data through communication networks or using measured data; smartphones having self-learning artificial intelligence using data through communication networks or using measured data; tablet computers having self-learning artificial intelligence using data through communication networks or using measured data; wearable computers having self-learning artificial intelligence using data through communication networks or using measured data; electronic circuits, magnetic disks, CD-ROMs, DVD-ROMs, and semiconductor memory chips all featuring recorded computer programs which have self-learning artificial intelligence using data through communication networks or using measured data; consumer video game programs having self-learning artificial intelligence using data through communication networks or using measured data; consumer video game programs having self-learning artificial intelligence using multimedia data such as an image, a sound, or text by obtaining data through communication networks or using measured data; consumer video game programs having self-learning artificial intelligence using action data of people such as positional information, a purchasing history, or the communication history by obtaining data through communication networks or using measured data; consumer video game programs having self-learning artificial intelligence using market data such as stock prices, exchange, or sales by obtaining data through communication networks or using measured data; consumer video game programs having self-learning artificial intelligence using natural data such as the weather or the earthquake-wave by obtaining data through communication networks or using measured data; consumer video game programs having self-learning artificial intelligence using control data such as from a car, robot, or computer of wearable-device by obtaining such data through communication networks or using measured data; consumer video game programs; electronic circuits, magnetic disks, CD-ROMs, DVD-ROMs, and ROM-cartridges, all featuring recorded consumer video game programs; computer game programs for hand-held games with liquid crystal displays having self-learning artificial intelligence using data through communication networks or using measured data; computer game programs for hand-held games with liquid crystal displays having self-learning artificial intelligence using multimedia data such as an image, a sound, or text by obtaining data through communication networks or using measured data; computer game programs for hand-held games with liquid crystal displays having self-learning artificial intelligence using action data of people such as positional information, a purchasing history, or the communication history by obtaining data through communication networks or using measured data; computer game programs for hand-held games with liquid crystal displays having self-learning artificial intelligence using market data such as the stock prices, exchange, or sales by obtaining data through communication networks or using measured data; computer game programs for hand-held games with liquid crystal displays having self-learning artificial intelligence using natural data such as the weather or the earthquake-wave by obtaining data through communication networks or using measured data; computer game programs for hand-held games with liquid crystal displays having self-learning artificial intelligence using control data such as from a car, robot, or computer of wearable-device by obtaining such data through communication networks or using measured data; computer game programs for hand-held games with liquid crystal displays; electronic circuits, magnetic disks, optical disks, ROM-cartridges, CD-ROMs, DVD-ROMs and DVD-RAMs, all recorded with consumer video game programs for hand-held games with liquid crystal displays; electronic publications, namely, downloadable manuals, magazines and books featuring information in the field of computer programs ]ACTIVE—
042providing temporary use of non-downloadable computer programs for self-learning artificial intelligence using data such as an image, sound, or text through communication networks; design, programming, and maintenance of computer programs which use self-learning artificial intelligence using data through communication networks or using measured data; design, programming, and maintenance of computer programs which use self-learning artificial intelligence using multimedia data such as an image, a sound, or text by obtaining data through communication networks or obtaining measured data; design, programming, and maintenance of computer programs which use self-learning artificial intelligence using action data of people such as positional information, a purchasing history, or the communication history by obtaining data through communication networks or obtaining measured data; design, programming, and maintenance of computer programs which use self-learning artificial intelligence by obtaining market data such as the stock prices, exchange, or sales by obtaining data through communication networks or obtaining measured data; design, programming, and maintenance of computer programs which use self-learning artificial intelligence by using natural data such as the weather or the earthquake-wave by obtaining data through communication networks or obtaining measured data; design, programming, and maintenance of computer programs which use self-learning artificial intelligence by control data such as from a car, robot, or wearable-device by obtaining such data through communication networks or obtaining measured dataACTIVE—

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CopyMark links this record to cited §2(d) serials, the owner's other marks, Nice classes, similar mark names, and recently changed USPTO applications.

Prosecution history

DateCodeEventWhat it means
Aug 15, 2025NA89NOTICE OF ACCEPTANCE OF SEC. 8 & 9 - E-MAILED—
Aug 15, 2025RNL1REGISTERED AND RENEWED (FIRST RENEWAL - 10 YRS)The trademark registration was renewed for another 10-year term after acceptable maintenance filings. RNL1, RNL2, and RNL3 indicate which renewal cycle (first, second, or third 10-year term) was recorded. The registration remains active.
Aug 15, 202589AGREGISTERED - SEC. 8 (10-YR) ACCEPTED/SEC. 9 GRANTEDThe USPTO accepted your combined Section 8 declaration and Section 9 renewal application. The registration is renewed for another 10-year term. The next combined maintenance filing will be due at the following 10-year anniversary.
Aug 15, 2025APRECASE ASSIGNED TO POST REGISTRATION PARALEGAL—
Apr 2, 2025E89RTEAS SECTION 8 & 9 RECEIVED—
Aug 25, 2024REM2COURTESY REMINDER - SEC. 8 (10-YR)/SEC. 9 E-MAILED—
Aug 2, 2022NAS8NOTICE OF ACCEPTANCE OF SEC. 8 - E-MAILED—
Aug 2, 20228.OKREGISTERED - SEC. 8 (6-YR) ACCEPTEDThe USPTO accepted your Section 8 declaration showing the mark is still in use in commerce (or excusable nonuse). This satisfies the six-year maintenance requirement and keeps the registration active until the next renewal deadline.
Aug 2, 2022APRECASE ASSIGNED TO POST REGISTRATION PARALEGAL—
Feb 25, 2022ES8RTEAS SECTION 8 RECEIVED—
Aug 25, 2020REM1COURTESY REMINDER - SEC. 8 (6-YR) E-MAILED—
Aug 28, 2019ASGNAUTOMATIC UPDATE OF ASSIGNMENT OF OWNERSHIP—
Aug 22, 2019TCCATEAS CHANGE OF CORRESPONDENCE RECEIVED—
Aug 22, 2019ARAAATTORNEY/DOM.REP.REVOKED AND/OR APPOINTEDThis event means the applicant filed a response to a USPTO Office Action — typically arguments, amendments, or evidence addressing the examiner's objections. The USPTO will review the response and either allow the mark to proceed or issue another action.
Aug 22, 2019REAPTEAS REVOKE/APP/CHANGE ADDR OF ATTY/DOM REP RECEIVED—
Nov 23, 2016ASGNAUTOMATIC UPDATE OF ASSIGNMENT OF OWNERSHIP—
Aug 25, 2015R.PRREGISTERED-PRINCIPAL REGISTERYour trademark is registered on the Principal Register — the strongest form of federal trademark protection. You may use the ® symbol for the covered goods and services. Maintenance filings (Section 8 and renewals) are required to keep the registration alive.
May 19, 2015DP1B1(B) BASIS DELETED; PROCEED TO REGISTRATION—
May 19, 2015AITUCASE ASSIGNED TO INTENT TO USE PARALEGAL—
Apr 20, 2015IUCNNOTICE OF ALLOWANCE CANCELLED—
Apr 20, 2015D1BRTEAS DELETE 1(B) BASIS RECEIVED—
Mar 10, 2015NOAMNOA E-MAILED - SOU REQUIRED FROM APPLICANTA Notice of Allowance means your intent-to-use application cleared examination and opposition but is not registered yet. You must file a Statement of Use showing the mark in commerce, or request an extension, before the deadline — usually six months from the notice date.
Jan 13, 2015NPUBOFFICIAL GAZETTE PUBLICATION CONFIRMATION E-MAILED—
Jan 13, 2015PUBOPUBLISHED FOR OPPOSITIONYour mark was published in the USPTO Official Gazette for a 30-day opposition window. During that period, third parties who believe they would be harmed can file an opposition. If no opposition is filed, prosecution usually continues toward registration or a Notice of Allowance.
Dec 24, 2014NONPNOTIFICATION OF NOTICE OF PUBLICATION E-MAILED—
Dec 6, 2014PREVLAW OFFICE PUBLICATION REVIEW COMPLETED—
Dec 3, 2014CNSAAPPROVED FOR PUB - PRINCIPAL REGISTER—
Nov 4, 2014DOCKASSIGNED TO EXAMINER—
Oct 20, 2014TEMETEAS/EMAIL CORRESPONDENCE ENTERED—
Oct 20, 2014CRFACORRESPONDENCE RECEIVED IN LAW OFFICE—
Oct 14, 2014ALIEASSIGNED TO LIE—
Oct 10, 2014TROATEAS RESPONSE TO OFFICE ACTION RECEIVEDThis event means the applicant filed a response to a USPTO Office Action — typically arguments, amendments, or evidence addressing the examiner's objections. The USPTO will review the response and either allow the mark to proceed or issue another action.
Apr 27, 2014GNRNNOTIFICATION OF NON-FINAL ACTION E-MAILEDA non-final Office Action means the USPTO examining attorney has raised at least one issue with your trademark application but has not made a final decision. You usually have three months to respond with arguments, amendments, or evidence. Missing the deadline can abandon the application.
Apr 27, 2014GNRTNON-FINAL ACTION E-MAILEDA non-final Office Action means the USPTO examining attorney has raised at least one issue with your trademark application but has not made a final decision. You usually have three months to respond with arguments, amendments, or evidence. Missing the deadline can abandon the application.
Apr 27, 2014CNRTNON-FINAL ACTION WRITTENA non-final Office Action means the USPTO examining attorney has raised at least one issue with your trademark application but has not made a final decision. You usually have three months to respond with arguments, amendments, or evidence. Missing the deadline can abandon the application.
Apr 17, 2014DOCKASSIGNED TO EXAMINER—
Jan 28, 2014NWOSNEW APPLICATION OFFICE SUPPLIED DATA ENTERED—
Jan 18, 2014NWAPNEW APPLICATION ENTERED—

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