
Tresata
Develops software platform for real-time customer intelligence management.
Date | Investors | Amount | Round |
---|---|---|---|
N/A | €0.0 | round | |
N/A | €0.0 | round | |
* | $50.0m Valuation: $1.0b 90.9x EV/Revenue | Growth Equity VC | |
Total Funding | 000k |
USD | 2017 | 2021 | 2022 | 2023 |
---|---|---|---|---|
Revenues | 0000 | 0000 | 0000 | 0000 |
% growth | - | - | 79 % | - |
EBITDA | 0000 | 0000 | 0000 | 0000 |
Profit | 0000 | 0000 | 0000 | 0000 |
EV | 0000 | 0000 | 0000 | 0000 |
EV / revenue | 00.0x | 00.0x | 00.0x | 00.0x |
EV / EBITDA | 00.0x | 00.0x | 00.0x | 00.0x |
R&D budget | 0000 | 0000 | 0000 | 0000 |
Source: Company filings or news article, Dealroom estimates
Related Content
Tresata is a software company headquartered in Charlotte, North Carolina, that specializes in providing automated data analytics solutions. The company was founded in 2011 by Abhishek Mehta. Mehta, who serves as the CEO, brought extensive experience from his time at Bank of America, where he held the position of Managing Director and Global Head of Big Data and Analytics. This background in the financial sector heavily influenced Tresata's initial focus on developing analytics products for the financial services industry.
The core of Tresata's offering is its suite of data automation software designed to help businesses manage and analyze large datasets. These software products are built to run on open-source data platforms like Hadoop, enabling companies to process vast amounts of information to identify patterns, predict outcomes, and make data-driven decisions. The company's products are primarily aimed at large enterprises in data-intensive industries, including financial services, healthcare, and retail. By automating the entire analytics process, from data integration to the delivery of actionable insights, Tresata helps its clients improve efficiency and discover new revenue opportunities.
Tresata's business model is centered on licensing its proprietary software to these large organizations. The company's software helps clients solve complex business problems by leveraging their own data assets. For example, it can be used for customer intelligence, fraud detection, and risk management. A significant milestone for the company was securing a partnership with IBM, which allowed Tresata's software to be sold and deployed on IBM's big data platform, expanding its market reach.
Keywords: data analytics, software, financial services, big data, automation, enterprise software, data management, business intelligence, machine learning, predictive analytics