
Inven
A platform to find merger and acquisition targets with the help of AI.
Date | Investors | Amount | Round |
---|---|---|---|
- | investor investor investor | €0.0 | round |
investor | €0.0 | round | |
* | €11.2m | Series A | |
Total Funding | 000k |
USD | 2023 | 2024 | 2025 |
---|---|---|---|
Revenues | 0000 | 0000 | 0000 |
% growth | - | 114 % | 67 % |
EBITDA | 0000 | 0000 | 0000 |
Profit | 0000 | 0000 | 0000 |
EV | 0000 | 0000 | 0000 |
EV / revenue | 00.0x | 00.0x | 00.0x |
EV / EBITDA | 00.0x | 00.0x | 00.0x |
R&D budget | 0000 | 0000 | 0000 |
Source: Dealroom estimates
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Inven.ai is a startup that leverages artificial intelligence (AI) and machine learning (ML) to streamline the process of finding merger and acquisition (M&A) targets. The company operates in the financial services market, serving clients such as M&A advisories, private equity firms, and consultancies.
Inven.ai's business model revolves around the use of AI and ML to scan the internet for relevant data points on potential M&A targets. This process is designed to save clients time and effort compared to traditional methods of finding targets, which often involve sifting through financial databases. The company's advanced search tool combines millions of data points, including proprietary data such as company ownership, to identify the most relevant targets.
Inven.ai's service is subscription-based, generating revenue through clients who pay for access to the company's AI-powered search tool. The tool is designed to be the only market research tool clients need, making it a valuable resource for those in the M&A industry.
The startup operates remotely, with team members located around the world. This allows Inven.ai to tap into a global talent pool and maintain a flexible, adaptable business structure.
Inven.ai's mission is to improve the lives of professionals in the M&A industry by making the process of finding relevant companies faster, more accurate, and less tedious.
Keywords: Artificial Intelligence, Machine Learning, Mergers and Acquisitions, Financial Services, Subscription-Based, Market Research, Remote Work, Data Points, Proprietary Data, Startup.