# Q-Sensei

Startup profile on Capital Atlas: https://capitalatlas.ai/startups/q-sensei

- Industry: Software
- Headquarters: Brooklyn, US
- Website: www.qsensei.com
- Total disclosed funding: $5.1M
- Latest round: Series A (Dec 11, 2012)
- Investors on record: 2

## About

Q-Sensei Corp. specializes in advanced analytics solutions, enabling users to effectively query, visualize, and analyze large datasets with its innovative products designed for diverse industries.Founded in 2007 in Brooklyn, US, Q-Sensei Corp. offers advanced analytics products including the Q-Sensei Platform. The company has participated in 6 deals, with its most recent funding round occurring in March 2017, raising USD 3.12 mn. The CEO, Ute Rother, leads the firm, which has remained focused on its core analytics offerings.Q-Sensei provides a suite of advanced analytics products designed to streamline the querying, visualization, and analysis of large datasets. The core offering includes the Q-Sensei Platform, which leverages intelligent indexing technology to facilitate real-time access to both streaming and historical data. This platform enables users to perform hyper-precise querying and gain insights into key performance indicators (KPIs) by allowing for automated data cleaning and the creation of clean data facets. Specific use cases for Q-Sensei's products are prevalent across various industries, including finance, healthcare, media, telecommunications, e-commerce, and security, aiming to enhance data accessibility and usability. While operating globally, its products are particularly marketed within North America and Europe, targeting data scientists, data engineers, application developers, and business analysts requiring efficient data management solutions.Q-Sensei's revenue model is positioned primarily around subscriptions to its analytics platform and related services. Clients engage with the company through direct-to-consumer and B2B transactions, where businesses can opt for tailored solutions that fit their specific data analytics needs. Revenue is generated through various pricing structures based on the scale of data access, the complexity of queries, and additional services such as consulting or custom solutions. The flagship Q-Sensei Platform stands out as a critical component of its offerings, with pricing potentially adjusting based on user access levels and feature sets. As organizations increasingly rely on data-driven decision-making, Q-Sensei's innovative approach provides substantial value, making it a compelling choice for enterprises aiming to enhance their analytics capabilities.In March 2017, Q-Sensei Corp. raised USD 3.12 mn of venture funding to support its growth initiatives. The company intends to introduce new products to enhance its analytics capabilities, targeting launch dates within the next year. Additionally, Q-Sensei is looking to expand its market presence in regions such as Asia and South America by the end of 2023, focusing on addressing the growing demand for data analytics solutions across these markets.

## Funding rounds

- Series A, Dec 11, 2012, $1.2M — Bm-t, Verizon Ventures
- Series A, Dec 1, 2009, $2.5M — Bm-t
- Seed, Jul 17, 2007, $1.4M — Bm-t

## Investors

- Bm-t (https://capitalatlas.ai/funds/bm-t) — Seed, Series A
- Verizon Ventures (https://capitalatlas.ai/funds/verizon-ventures) — Series A