
Q-Sensei is a software company that develops powerful yet easy-to-use products for querying, visualizing, and delivering insights from streaming and historic data. Their platform features intelligent indexing technology enabling hyper-precise, high-volume, and high-speed querying for interactive data analysis and machine learning projects. The company offers products like Q-Sensei Finance, Q-Sensei Logs, and Q-Sensei Platform, which support faceted data organization, advanced query building, and analytical user interfaces. Q-Sensei's technology boosts machine learning pipelines and enhances data analysis accuracy and speed, serving data analysts, scientists, and enterprises across industries such as financial services, healthcare, media, and more. They emphasize simplicity, transparency, and versatility in their solutions, with patented search and presentation engine technology and recognition from industry analysts like Frost & Sullivan and IDC.

Q-Sensei is a software company that develops powerful yet easy-to-use products for querying, visualizing, and delivering insights from streaming and historic data. Their platform features intelligent indexing technology enabling hyper-precise, high-volume, and high-speed querying for interactive data analysis and machine learning projects. The company offers products like Q-Sensei Finance, Q-Sensei Logs, and Q-Sensei Platform, which support faceted data organization, advanced query building, and analytical user interfaces. Q-Sensei's technology boosts machine learning pipelines and enhances data analysis accuracy and speed, serving data analysts, scientists, and enterprises across industries such as financial services, healthcare, media, and more. They emphasize simplicity, transparency, and versatility in their solutions, with patented search and presentation engine technology and recognition from industry analysts like Frost & Sullivan and IDC.
Founded: 2007
Headquarters: San Francisco, CA (office in Erfurt, Germany)
Product focus: Multidimensional query & analytics platform for streaming and historic data
Notable customers / use cases: Interactive exploratory data analysis, real-time log analysis, ML pipelines
Last reported funding: Series A on 2013-10-01
Exploratory data analysis, log/observability analytics, and support for machine-learning data pipelines.
2007
Software / Data analytics
Latest recorded round per company profiles
“Verizon Ventures; bm-t (Beteiligungsmanagement Thuringen)”