Serial Number
90841169
Owner
Tenokonda, Inc.Attorney
Jubin DANAFirst Use Date
Mar 20, 2019
Filing Date
Jul 21, 2021
TENOKONDA Trademark
Serial Number: 90841169 • Registration: 6850024
Trademark Classes
Class 9 - Computers & Electronics
Scientific, nautical, surveying, photographic, cinematographic, optical apparatus and instruments
Class 42 - Computer & Scientific
Scientific and technological services; industrial analysis and research services
Class 35 - Advertising & Business
Advertising; business management; business administration; office functions
Owner Contact Info
Legal Representation
Trademark Details
Filing Date
July 21, 2021
Registration Date
September 20, 2022
First Use Anywhere
March 20, 2019
First Use in Commerce
March 20, 2019
Published for Opposition
July 5, 2022
Goods & Services
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
Business consulting services
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