
ThinkNum
Llows investors to get data driven investment ideas by monitoring companies' websites.
Date | Investors | Amount | Round |
---|---|---|---|
- | investor | €0.0 | round |
investor investor investor investor investor investor | €0.0 | round | |
investor | €0.0 | round | |
N/A | $3.5m | Series A | |
Total Funding | 000k |
USD | 2018 | 2019 | 2020 | 2021 | 2023 |
---|---|---|---|---|---|
Revenues | 0000 | 0000 | 0000 | 0000 | 0000 |
% growth | - | 20 % | 47 % | - | - |
EBITDA | 0000 | 0000 | 0000 | 0000 | 0000 |
Profit | 0000 | 0000 | 0000 | 0000 | 0000 |
EV | 0000 | 0000 | 0000 | 0000 | 0000 |
EV / revenue | 00.0x | 00.0x | 00.0x | 00.0x | 00.0x |
EV / EBITDA | 00.0x | 00.0x | 00.0x | 00.0x | 00.0x |
R&D budget | 0000 | 0000 | 0000 | 0000 | 0000 |
Source: Dealroom estimates
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Thinknum is a data analytics company that specializes in providing alternative data insights to businesses, investors, and analysts. Operating in the financial technology sector, Thinknum aggregates and analyzes data from a wide range of sources including social media, job postings, and company websites to offer a comprehensive view of market trends and company performance.
Thinknum's core clients include financial institutions, hedge funds, private equity firms, and corporate strategists who utilize the platform to gain a competitive edge in their investment and business decisions. The company operates on a subscription-based business model, where clients pay for access to its data analytics platform and customized reports.
Revenue is generated through tiered subscription plans that offer varying levels of data access and analytical tools. Thinknum's platform is designed to be user-friendly, allowing clients to easily navigate through vast amounts of data and extract actionable insights.
The company stands out in the market by providing real-time data and predictive analytics, which help clients anticipate market movements and make informed decisions.
Keywords: alternative data, financial technology, market trends, data analytics, investment insights, real-time data, predictive analytics, subscription model, corporate strategy, competitive edge.