on 20 Sep 2022
Last Applicant/ Owned by
77 Barnes court #106
Stanford
CA
94305
Serial Number
90841169 filed on 21st Jul 2021
Registration Number
6850024 registered on 20th Sep 2022
Filing Basis
1. use application currently
Disclaimer
NO DATA
Downloadable computer simulation software for modeling scenario generation, scenario analysis, sensitivity analysis, risk estimation, probabilistic graph modeling, Bayesian network modeling, Bayesian inference, anomaly detection, data imputation, Monte Carlo simulation, probability distribution sampling, stochastic processes simulation, graph theory, probabilistic model calibration, graph structur Read More
Downloadable computer simulation software for modeling scenario generation, scenario analysis, sensitivity analysis, risk estimation, probabilistic graph modeling, Bayesian network modeling, Bayesian inference, anomaly detection, data imputation, Monte Carlo simulation, probability distribution sampling, stochastic processes simulation, graph theory, probabilistic model calibration, graph structure learning, random numbers generation, low discrepancy sequences, distribution fitting; Downloadable computer software that provides real-time, integrated business management intelligence by combining information from various databases and presenting it in an easy-to-understand user interface
20th Mar 2019
20th Mar 2019
Business consulting services
20th Mar 2019
20th Mar 2019
Consulting in the field of engineering; Providing temporary use of online non-downloadable simulation software for modeling scenario generation, scenario analysis, sensitivity analysis, risk estimation, probabilistic graph modeling, Bayesian network modeling, Bayesian inference, anomaly detection, data imputation, Monte Carlo simulation, probability distribution sampling, stochastic processes simulation, graph theory, probabilistic model calibration, graph structure learning, random numbers generation, low discrepancy sequences, distribution fitting.; Technology consultation in the field of scenario generation, scenario analysis, sensitivity analysis, risk estimation, probabilistic graph modeling, Bayesian network modeling, Bayesian inference, anomaly detection, data imputation, Monte Carlo simulation, probability distribution sampling, stochastic processes simulation, graph theory, probabilistic model calibration, graph structure learning, random numbers generation, low discrepancy sequences, distribution fitting
20th Mar 2019
20th Mar 2019
No 90841169
No Service Mark
No
No
No
No
No
No
No
No
No
Status Date | Action Taken |
---|---|
20th Sep 2022 | NOTICE OF REGISTRATION CONFIRMATION EMAILED |
20th Sep 2022 | REGISTERED-PRINCIPAL REGISTER |
05th Jul 2022 | OFFICIAL GAZETTE PUBLICATION CONFIRMATION E-MAILED |
05th Jul 2022 | PUBLISHED FOR OPPOSITION |
15th Jun 2022 | NOTIFICATION OF NOTICE OF PUBLICATION E-MAILED |
27th May 2022 | APPROVED FOR PUB - PRINCIPAL REGISTER |
26th May 2022 | TEAS/EMAIL CORRESPONDENCE ENTERED |
26th May 2022 | CORRESPONDENCE RECEIVED IN LAW OFFICE |
13th May 2022 | ASSIGNED TO LIE |
10th May 2022 | TEAS RESPONSE TO OFFICE ACTION RECEIVED |