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Dado oficial do USPTO

SOINN

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Antes de investir em nome, identidade e divulgação, valide risco de colisão e estratégia de registro para não perder tempo nem budget.

Active USPTO registrationTipo: VerbalEscritório: US

Snapshot rápido

SOINN

ST13

US500000086166077

Classe

9, 42

Pedido

86166077

Registro

4797724

Diagnóstico de risco e oportunidade

Leitura executiva para decisão de naming, protocolo e monitoramento.

Atenção: há risco ativo

Situação USPTO

Active USPTO registration

Tipo de processo

Pedido e registro

Eventos registrados

38

Atualização mais recente

16/08/2025

Classificação

Registrada

Tipo de marca

Verbal

Classes Nice

9, 42

Data de depósito

15/01/2014

Data de registro

25/08/2015

Data de expiração

-

Ação recomendada

Execute uma análise de colidência completa e valide classes antes de qualquer protocolo ou investimento de marca.

Próximo passo

Esses são os detalhes do processo de registro. Mesmo assim, o monitoramento constante é o que garante tranquilidade de que o seu principal ativo continue protegido.

Dados completos do processo

Campos estruturados da autoridade responsável e do histórico oficial.

Data da situação

15/08/2025

Última transação

16/08/2025

Escritório responsável

United States Patent and Trademark Office

Código da situação

800

Cadastro oficial

Principal Register

Fundamento do pedido

Intent to use

Código do desenho

4

Tipo de titular

03

Localização do titular

TOKYO, JP

Examinador

BUTTON, JENNIFER

Localização atual

PUBLICATION AND ISSUE SECTION

Titulares e representantes

Titulares

SOINN, INC.
SOINN HOLDINGS, LLC
Hasegawa Research, LLC

Representantes

Paul D. Bianco, PhD Fleit Intellectual Property Law

Classificação técnica

Classes Nice

Classe 9Classe 42

Códigos Vienna

Sem códigos Vienna disponíveis.

Produtos e serviços

Classe 9

Computer 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 imagea soundtext 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 imagea soundtext 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 imagea soundtext 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 imagea soundtext 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 informationa purchasing historythe 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 informationa purchasing historythe 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 imagea soundtext and action data of people such as positional informationa purchasing historythe 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 informationa purchasing historythe 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 informationa purchasing historythe 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 pricesexchangesales 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 pricesexchangesales 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 pricesexchangesales 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 pricesexchangesales 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 pricesexchangesales 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 carrobotwearable-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 carrobotwearable-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 carrobotwearable-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 carrobotwearable-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 carrobotwearable-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 circuitsmagnetic disksCD-ROMsDVD-ROMssemiconductor 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 imagea soundtext 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 informationa purchasing historythe 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 pricesexchangesales 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 carrobotcomputer of wearable-device by obtaining such data through communication networks or using measured data; consumer video game programs; electronic circuitsmagnetic disksCD-ROMsDVD-ROMsROM-cartridgesall 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 imagea soundtext 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 informationa purchasing historythe 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 pricesexchangesales 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 carrobotcomputer 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 circuitsmagnetic disksoptical disksROM-cartridgesCD-ROMsDVD-ROMs and DVD-RAMsall recorded with consumer video game programs for hand-held games with liquid crystal displays; electronic publicationsdownloadable manualsmagazines and books featuring information in the field of computer programs

Classe 42

providing temporary use of non-downloadable computer programs for self-learning artificial intelligence using data such as an imagesoundtext through communication networks; designprogrammingmaintenance of computer programs which use self-learning artificial intelligence using data through communication networks or using measured data; designprogrammingmaintenance of computer programs which use self-learning artificial intelligence using multimedia data such as an imagea soundtext by obtaining data through communication networks or obtaining measured data; designprogrammingmaintenance of computer programs which use self-learning artificial intelligence using action data of people such as positional informationa purchasing historythe communication history by obtaining data through communication networks or obtaining measured data; designprogrammingmaintenance of computer programs which use self-learning artificial intelligence by obtaining market data such as the stock pricesexchangesales by obtaining data through communication networks or obtaining measured data; designprogrammingmaintenance 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; designprogrammingmaintenance of computer programs which use self-learning artificial intelligence by control data such as from a carrobotwearable-device by obtaining such data through communication networks or obtaining measured data

Publicações

Histórico de despachos e eventos da marca no USPTO.

38 publicações encontradas

NA89

NOTICE OF ACCEPTANCE OF SEC. 8 & 9 - E-MAILED

15/08/2025

RNL1

REGISTERED AND RENEWED (FIRST RENEWAL - 10 YRS)

15/08/2025

89AG

REGISTERED - SEC. 8 (10-YR) ACCEPTED/SEC. 9 GRANTED

15/08/2025

APRE

CASE ASSIGNED TO POST REGISTRATION PARALEGAL

15/08/2025

E89R

TEAS SECTION 8 & 9 RECEIVED

02/04/2025

REM2

COURTESY REMINDER - SEC. 8 (10-YR)/SEC. 9 E-MAILED

25/08/2024

NAS8

NOTICE OF ACCEPTANCE OF SEC. 8 - E-MAILED

02/08/2022

8.OK

REGISTERED - SEC. 8 (6-YR) ACCEPTED

02/08/2022

APRE

CASE ASSIGNED TO POST REGISTRATION PARALEGAL

02/08/2022

ES8R

TEAS SECTION 8 RECEIVED

25/02/2022

REM1

COURTESY REMINDER - SEC. 8 (6-YR) E-MAILED

25/08/2020

ASGN

AUTOMATIC UPDATE OF ASSIGNMENT OF OWNERSHIP

28/08/2019

TCCA

TEAS CHANGE OF CORRESPONDENCE RECEIVED

22/08/2019

ARAA

ATTORNEY/DOM.REP.REVOKED AND/OR APPOINTED

22/08/2019

REAP

TEAS REVOKE/APP/CHANGE ADDR OF ATTY/DOM REP RECEIVED

22/08/2019

ASGN

AUTOMATIC UPDATE OF ASSIGNMENT OF OWNERSHIP

23/11/2016

R.PR

REGISTERED-PRINCIPAL REGISTER

25/08/2015

DP1B

1(B) BASIS DELETED; PROCEED TO REGISTRATION

19/05/2015

AITU

CASE ASSIGNED TO INTENT TO USE PARALEGAL

19/05/2015

IUCN

NOTICE OF ALLOWANCE CANCELLED

20/04/2015

D1BR

TEAS DELETE 1(B) BASIS RECEIVED

20/04/2015

NOAM

NOA E-MAILED - SOU REQUIRED FROM APPLICANT

10/03/2015

NPUB

OFFICIAL GAZETTE PUBLICATION CONFIRMATION E-MAILED

13/01/2015

PUBO

PUBLISHED FOR OPPOSITION

13/01/2015

NONP

NOTIFICATION OF NOTICE OF PUBLICATION E-MAILED

24/12/2014

PREV

LAW OFFICE PUBLICATION REVIEW COMPLETED

06/12/2014

CNSA

APPROVED FOR PUB - PRINCIPAL REGISTER

03/12/2014

DOCK

ASSIGNED TO EXAMINER

04/11/2014

TEME

TEAS/EMAIL CORRESPONDENCE ENTERED

20/10/2014

CRFA

CORRESPONDENCE RECEIVED IN LAW OFFICE

20/10/2014

ALIE

ASSIGNED TO LIE

14/10/2014

TROA

TEAS RESPONSE TO OFFICE ACTION RECEIVED

10/10/2014

GNRN

NOTIFICATION OF NON-FINAL ACTION E-MAILED

27/04/2014

GNRT

NON-FINAL ACTION E-MAILED

27/04/2014

CNRT

NON-FINAL ACTION WRITTEN

27/04/2014

DOCK

ASSIGNED TO EXAMINER

17/04/2014

NWOS

NEW APPLICATION OFFICE SUPPLIED DATA ENTERED

28/01/2014

NWAP

NEW APPLICATION ENTERED

18/01/2014

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